<snapdata remixID="14166512"><project name="Minecraft" app="Snap! 10.7.2, https://snap.berkeley.edu" version="2"><notes></notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="Minecraft"><notes></notes><palette><category name="3D Beetle" color="92,181,255,1"/><category name="0. My own blocks" color="179,120,0,1"/><category name="3. Data tools" color="220,50,0,1"/><category name="2. Math tools" color="0,180,50,1"/><category name="5. PlotPad for data plots" color="150,175,80,1"/><category name="4. SQL tools" color="255,150,0,1"/><category name="6. ImagePad for image operations" color="200,170,50,1"/><category name="1. SciSnap! globals" color="0,170,170,1"/><category name="7. GraphPad for graph operations" color="230,160,70,1"/><category name="8. NNPad for neural networks" color="200,100,0,1"/><category name="9. GridPad for grid operations" color="180,70,100,1"/><category name="Microworld" color="0,116,143,1"/></palette><hidden></hidden><headers></headers><code></code><blocks><block-definition s="reset" type="command" category="3D Beetle"><header></header><code></code><translations>ca:reinicia&#xD;</translations><inputs></inputs><script><custom-block s="stop extruding"></custom-block><custom-block s="go home"></custom-block><custom-block s="clear scene"></custom-block><custom-block s="set shape offset to %l"><block s="reportNewList"><list><l>0</l><l>0</l></list></block></custom-block><custom-block s="set %s scale to %n"><l>shape</l><l>1</l></custom-block><custom-block s="set %s scale to %n"><l>movement</l><l>1</l></custom-block><block s="doIf"><block s="reportListContainsItem"><block s="reportApplyExtension"><l>var_names(scope)</l><list><l>global</l></list></block><l>bb_stack</l></block><script><block s="doApplyExtension"><l>var_set(name, val)</l><list><l>bb_stack</l><block s="reportNewList"><list></list></block></list></block></script><list></list></block></script></block-definition><block-definition s="clear scene" type="command" category="3D Beetle" helper="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>bb_clear()</l><list></list></block></script></block-definition><block-definition s="go home" type="command" category="3D Beetle"><header></header><code></code><translations>ca:torna a casa&#xD;</translations><inputs></inputs><script><custom-block s="go to %l"><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></custom-block><block s="doApplyExtension"><l>bb_setrot(x, y, z)</l><list><l>0</l><l>0</l><l>0</l></list></block></script></block-definition><block-definition s="move %&apos;n&apos; steps" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:mou-te _ passos&#xD;</translations><inputs><input type="%n">1</input></inputs><script><custom-block s="change relative %s by %n"><l>z</l><block var="n"/></custom-block></script></block-definition><block-definition s="go to %&apos;position&apos;" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:vés a _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="position"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>position</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></block></script><list></list></block><block s="doApplyExtension"><l>bb_goto(x, y, z)</l><block var="position"/></block></script></block-definition><block-definition s="set %&apos;which&apos; position to %&apos;what&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:fixa la coordenada _ a _&#xD;</translations><inputs><input type="%s" readonly="true">x<options>x&#xD;y&#xD;z</options></input><input type="%n">3</input></inputs><script><block s="doDeclareVariables"><list><l>mask</l></list></block><block s="doSetVar"><l>mask</l><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportVariadicEquals"><list><l></l><block var="which"/></list></block></autolambda><list></list></block><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block></block><custom-block s="go to %l"><block s="reportVariadicSum"><list><block s="reportDifference"><custom-block s="%s position"><l></l></custom-block><block s="reportVariadicProduct"><list><block var="mask"/><custom-block s="%s position"><l></l></custom-block></list></block></block><block s="reportVariadicProduct"><list><block var="mask"/><block s="reportNewList"><list><block var="what"/><block var="what"/><block var="what"/></list></block></list></block></list></block></custom-block></script></block-definition><block-definition s="change absolute %&apos;which&apos; by %&apos;n&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:augmenta la coordenada _ en _&#xD;</translations><inputs><input type="%s" readonly="true">x<options>x&#xD;y&#xD;z</options></input><input type="%n">2</input></inputs><script><custom-block s="go to %l"><block s="reportVariadicSum"><list><custom-block s="%s position"><l></l></custom-block><block s="reportVariadicProduct"><list><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportVariadicEquals"><list><l></l><block var="which"/></list></block></autolambda><list></list></block><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block><block s="reportNewList"><list><block var="n"/><block var="n"/><block var="n"/></list></block></list></block></list></block></custom-block></script></block-definition><block-definition s="change relative %&apos;which&apos; by %&apos;n&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:mou-te en la _ pròpia _ passos&#xD;</translations><inputs><input type="%s" readonly="true">y<options>x&#xD;y&#xD;z</options></input><input type="%n">2</input></inputs><script><block s="doApplyExtension"><l>bb_move(axis, steps)</l><list><block var="which"/><block var="n"/></list></block></script></block-definition><block-definition s="%&apos;which&apos; position" type="reporter" category="3D Beetle"><header></header><code></code><translations>ca:posició _&#xD;</translations><inputs><input type="%s" readonly="true">x<options>x&#xD;y&#xD;z</options></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="which"/><l></l></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>bb_position()</l><list></list></block></block></script><script><block s="doReport"><block s="reportListItem"><block s="reportListIndex"><block var="which"/><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block><block s="reportApplyExtension"><l>bb_position()</l><list></list></block></block></block></script></block></script></block-definition><block-definition s="rotate %&apos;which&apos; by %&apos;what&apos;" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:gira sobre _ propi en _ graus&#xD;</translations><inputs><input type="%s" readonly="true">z<options>x&#xD;y&#xD;z</options></input><input type="%n">15</input></inputs><script><block s="doDeclareVariables"><list><l>empty</l></list></block><block s="doSetVar"><l>empty</l><l></l></block><block s="doApplyExtension"><l>bb_rotate(x, y, z)</l><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportVariadicEquals"><list><l></l><block var="which"/></list></block><block var="what"/><block var="empty"/></block></autolambda><list></list></block><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block></block></script></block-definition><block-definition s="set %&apos;which&apos; rotation to %&apos;what&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:fixa l&apos;angle _ propi a _&#xD;</translations><inputs><input type="%s" readonly="true">z<options>x&#xD;y&#xD;z</options></input><input type="%n">45</input></inputs><script><block s="doDeclareVariables"><list><l>empty</l></list></block><block s="doSetVar"><l>empty</l><l></l></block><block s="doApplyExtension"><l>bb_setrot(x, y, z)</l><block s="reportAtomicMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportVariadicEquals"><list><l></l><block var="which"/></list></block><block var="what"/><block var="empty"/></block></autolambda><list></list></block><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block></block></script></block-definition><block-definition s="point to %&apos;point&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:apunta cap a _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="point"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>point</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></block></script><list></list></block><block s="doApplyExtension"><l>bb_pointto(x, y, z)</l><block var="point"/></block></script></block-definition><block-definition s="%&apos;which&apos; rotation" type="reporter" category="3D Beetle"><header></header><code></code><translations>ca:angle _&#xD;</translations><inputs><input type="%s" readonly="true">z<options>x&#xD;y&#xD;z</options></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="which"/><l></l></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>bb_rotation()</l><list></list></block></block></script><script><block s="doReport"><block s="reportListItem"><block s="reportListIndex"><block var="which"/><block s="reportNewList"><list><l>x</l><l>y</l><l>z</l></list></block></block><block s="reportApplyExtension"><l>bb_rotation()</l><list></list></block></block></block></script></block></script></block-definition><block-definition s="start extruding %&apos;base&apos;" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:comença a extrudir amb _ de base&#xD;</translations><inputs><input type="%s" readonly="true">$_circle<options>circle=$_circle&#xD;triangle=$_triangle&#xD;square=$_square&#xD;semicircle=$_semicircle&#xD;line=$_line&#xD;point=$_point&#xD;sprite positions=$_sprite positions</options></input></inputs><script><block s="doApplyExtension"><l>bb_stopextruding()</l><list></list></block><block s="doIfElse"><block s="reportIsA"><block var="base"/><l><option>list</option></l></block><script><block s="doApplyExtension"><l>bb_setextrusionbase(base)</l><list><block var="base"/></list></block></script><script><block s="doApplyExtension"><l>bb_setextrusionbase(base)</l><list><block s="reportApplyExtension"><l>txt_transform(name, txt)</l><list><l>unselect</l><block var="base"/></list></block></list></block></script></block><block s="doApplyExtension"><l>bb_startextruding()</l><list></list></block></script></block-definition><block-definition s="stop extruding" type="command" category="3D Beetle"><header></header><code></code><translations>ca:deixa d&apos;extrudir&#xD;</translations><inputs></inputs><script><block s="doApplyExtension"><l>bb_stopextruding()</l><list></list></block></script></block-definition><block-definition s="log sprite positions in %&apos;script&apos;" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:enregistra les posicions de la tortuga _&#xD;</translations><inputs><input type="%cs" initial="1"></input></inputs><script><block s="doApplyExtension"><l>bb_logspritepositions(bool, currentPos)</l><list><block s="reportBoolean"><l><bool>true</bool></l></block><block s="getPosition"></block></list></block><block s="doRun"><block var="script"/><list></list></block><block s="doApplyExtension"><l>bb_logspritepositions(bool, currentPos)</l><list><block s="reportBoolean"><l><bool>false</bool></l></block></list></block></script></block-definition><block-definition s="shape points" type="reporter" category="3D Beetle" space="true"><header></header><code></code><translations>ca:punts de la base&#xD;</translations><inputs></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>bb_extrusionbasepoints()</l><list></list></block></block></script></block-definition><block-definition s="set shape offset to %&apos;offset&apos;" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:fixa el desplaçament de la base a _&#xD;</translations><inputs><input type="%l" initial="1"></input></inputs><script><block s="doApplyExtension"><l>bb_setoffset(offset)</l><list><block var="offset"/></list></block></script></block-definition><block-definition s="set %&apos;which&apos; scale to %&apos;n&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:fixa l&apos;escala de _ a _&#xD;</translations><inputs><input type="%s" readonly="true" initial="1">$_shape<options>shape=$_shape&#xD;movement=$_movement</options></input><input type="%n">1</input></inputs><script><block s="doApplyExtension"><l>bb_setscale(scale, which)</l><list><block var="n"/><block s="reportApplyExtension"><l>txt_transform(name, txt)</l><list><l>unselect</l><block var="which"/></list></block></list></block></script></block-definition><block-definition s="change %&apos;which&apos; scale by %&apos;n&apos;" type="command" category="3D Beetle"><header></header><code></code><translations>ca:augmenta l&apos;escala de _ en _&#xD;</translations><inputs><input type="%s" readonly="true" initial="1">$_shape<options>shape=$_shape&#xD;movement=$_movement</options></input><input type="%n">0.5</input></inputs><script><custom-block s="set %s scale to %n"><block var="which"/><block s="reportVariadicSum"><list><custom-block s="%s scale"><block var="which"/></custom-block><block var="n"/></list></block></custom-block></script></block-definition><block-definition s="%&apos;which&apos; scale" type="reporter" category="3D Beetle"><header></header><code></code><translations>ca:escala de _&#xD;</translations><inputs><input type="%s" readonly="true" initial="1">$_shape<options>shape=$_shape&#xD;movement=$_movement</options></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>bb_scale(which)</l><list><block s="reportApplyExtension"><l>txt_transform(name, txt)</l><list><l>unselect</l><block var="which"/></list></block></list></block></block></script></block-definition><block-definition s="push position" type="command" category="3D Beetle" space="true"><header></header><code></code><translations>ca:enregistra posició actual&#xD;</translations><inputs></inputs><script><block s="doAddToList"><block s="reportNewList"><list><custom-block s="%s position"><l></l></custom-block><custom-block s="%s rotation"><l></l></custom-block></list></block><custom-block s="stack"></custom-block></block></script></block-definition><block-definition s="pop position" type="command" category="3D Beetle"><header></header><code></code><translations>ca:torna a la posició enregistrada&#xD;</translations><inputs></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportListIsEmpty"><custom-block s="stack"></custom-block></block></block><script><block s="doDeclareVariables"><list><l>record</l></list></block><block s="doSetVar"><l>record</l><block s="reportListItem"><l><option>last</option></l><custom-block s="stack"></custom-block></block></block><block s="doApplyExtension"><l>bb_goto(x, y, z)</l><block s="reportListItem"><l>1</l><block var="record"/></block></block><block s="doApplyExtension"><l>bb_setrot(x, y, z)</l><block s="reportListItem"><l>2</l><block var="record"/></block></block><block s="doDeleteFromList"><l><option>last</option></l><custom-block s="stack"></custom-block></block></script><list></list></block></script></block></script></block-definition><block-definition s="stack" type="reporter" category="3D Beetle" helper="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportApplyExtension"><l>var_names(scope)</l><list><l>global</l></list></block><l>bb_stack</l></block></block><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><l>global</l><l>bb_stack</l></list></block><block s="doApplyExtension"><l>var_hide(name)</l><list><l>bb_stack</l></list></block><block s="doApplyExtension"><l>var_set(name, val)</l><list><l>bb_stack</l><block s="reportNewList"><list></list></block></list></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>var_get(name)</l><list><l>bb_stack</l></list></block></block></script></block-definition><block-definition s="init module" type="command" category="3D Beetle" helper="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doSetVar"><l>__module__beetle__</l><l>libraries/beetle/init.js</l></block></script><scripts><script x="59.50413223140495" y="111.4280991735537"><block s="doSetVar"><l>__module__beetle__</l><l>libraries/beetle/init.js</l></block></script></scripts></block-definition><block-definition s="beetle view" type="reporter" category="3D Beetle" space="true"><header></header><code></code><translations>ca:vista de l&apos;escarbat&#xD;</translations><inputs></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>bb_beetleView()</l><list></list></block></block></script></block-definition><block-definition s="safely try %&apos;action&apos; then if %&apos;error&apos; %&apos;handler&apos;" type="command" category="control" helper="true"><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;</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"><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="setting %&apos;which&apos;" type="reporter" category="sensing" space="true"><comment x="0" y="0" w="144.66666666666663" collapsed="false">Allows reading global settings programmatically.&#xD;Copied from Snap! library.</comment><header></header><code></code><translations>pt:o valor da configuração _&#xD;ca:paràmetre _&#xD;</translations><inputs><input type="%s" readonly="true">Stage size<options>Project notes&#xD;Project name&#xD;User&#xD;Presentation mode&#xD;Language&#xD;Zoom blocks&#xD;Stage size&#xD;Stage scale&#xD;Retina display support&#xD;Long form input dialog&#xD;Plain prototype labels&#xD;Input sliders&#xD;Execute on slider change&#xD;Clicking sound&#xD;Turbo mode&#xD;Flat design&#xD;Keyboard editing&#xD;Visible stepping&#xD;Thread safe scripts&#xD;Prefer smooth animations&#xD;Flat line ends&#xD;Codification support&#xD;Inheritance support&#xD;Hyper blocks support&#xD;Visible palette</options></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_setting(which)</l><list><block var="which"/></list></block></block></script></block-definition><block-definition s="set flag %&apos;which&apos; to %&apos;tf&apos;" type="command" category="sensing"><comment x="0" y="0" w="203.12820512820508" collapsed="false">Allows changing global settings programmatically.&#xD;This block is for Boolean (checkbox) settings; use&#xD;SET VALUE for numeric or text values.&#xD;Copied from Snap! library.</comment><header></header><code></code><translations>pt:altera o valor da configuração _ para _&#xD;ca:fixa el paràmetre _ a _&#xD;</translations><inputs><input type="%s" readonly="true">Turbo mode<options>Presentation mode&#xD;Retina display support&#xD;Long form input dialog&#xD;Plain prototype labels&#xD;Input sliders&#xD;Execute on slider change&#xD;Clicking sound&#xD;Turbo mode&#xD;Flat design&#xD;Keyboard editing&#xD;Visible stepping&#xD;Thread safe scripts&#xD;Prefer smooth animations&#xD;Flat line ends&#xD;Codification support&#xD;Inheritance support&#xD;Hyper blocks support&#xD;draggable</options></input><input type="%b">true</input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="which"/><l>draggable</l></list></block><script><block s="doIfElse"><block var="tf"/><script><block s="doRun"><block s="reifyScript"><script><block s="doSetVar"><l></l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><list><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>draggable?</option></l></block></autolambda><list></list></block></list></block></script><script><block s="doRun"><block s="reifyScript"><script><block s="doSetVar"><l></l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><list><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>draggable?</option></l></block></autolambda><list></list></block></list></block></script></block></script><script><block s="doApplyExtension"><l>SciS_setFlagTo(which,tf)</l><list><block var="which"/><block var="tf"/></list></block></script></block></script></block-definition><block-definition s="set value %&apos;which&apos; to %&apos;value&apos;" type="command" category="sensing"><comment x="0" y="0" w="233.12820512820508" collapsed="false">Allows changing global settings programmatically.&#xD;This block is for numeric or text settings; use&#xD;SET FLAG for Boolean (checkbox) values.&#xD;Copied from Snap! library.</comment><header></header><code></code><translations>pt:altera o valor da configuração _ para _&#xD;ca:fixa el valor de _ a _&#xD;</translations><inputs><input type="%s" readonly="true">Stage size<options>Project notes&#xD;Project name&#xD;Language&#xD;Zoom blocks&#xD;Stage size&#xD;Stage scale&#xD;Visible palette</options></input><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>SciS_setValueTo(which,value)</l><list><block var="which"/><block var="value"/></list></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;action&apos;" type="command" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;pt:captura _ _&#xD;pl:przechwyć _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%cs"></input></inputs><script><custom-block s="run %cmdRing with continuation"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doRun"><block var="action"/><list></list></block></script><list><l>cont</l></list></block></custom-block></script></block-definition><block-definition s="throw %&apos;cont&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _&#xD;ca:llança _&#xD;es:lanzar _&#xD;fr:lance _&#xD;pt:lança _&#xD;pl:wyrzuć _&#xD;</translations><inputs><input type="%s">catchtag</input></inputs><script><block s="doRun"><block var="cont"/><list></list></block></script></block-definition><block-definition s="catch %&apos;tag&apos; %&apos;value&apos;" type="reporter" category="control"><header></header><code></code><translations>de:fange _ _&#xD;ca:agafa _ _&#xD;es:atrapar _ _&#xD;fr:attrape _ _&#xD;pt:captura _ _&#xD;pl:przechwyć _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%anyUE"></input></inputs><script><custom-block s="run %cmdRing with continuation"><block s="reifyScript"><script><block s="doSetVar"><l>tag</l><block var="cont"/></block><block s="doReport"><block s="evaluate"><block var="value"/><list></list></block></block></script><list><l>cont</l></list></block></custom-block></script></block-definition><block-definition s="throw %&apos;tag&apos; %&apos;value&apos;" type="command" category="control"><header></header><code></code><translations>de:wirf _ _&#xD;ca:llança _ _&#xD;es:lanzar _ _&#xD;fr:lance _ _&#xD;pt:lança _ _&#xD;pl:wyrzuć _ _&#xD;</translations><inputs><input type="%s">catchtag</input><input type="%s"></input></inputs><script><block s="doRun"><block var="tag"/><list><block var="value"/></list></block></script></block-definition><block-definition s="if %&apos;test&apos; do %&apos;action&apos; and pause all $pause-1-255-220-0" type="command" category="control"><comment x="0" y="0" w="263.3333333333333" collapsed="false">This is a breakpoint block, to be used in debugging.&#xD;The Boolean input specifies the condition under which&#xD;the program should pause.  (Use True for an unconditional breakpoint.)  The intent is that the script should have&#xD;SHOW VARIABLE blocks for the process&apos;s local variables.&#xD;After the pause, this block automatically hides all temporary variables.</comment><header></header><code></code><translations>de:falls _ dann _ und pause $pause-1-255-220-0&#xD;ca:si _ fes _ i atura-ho tot $pause-1-255-220-0&#xD;es:si _ haz _ y páralo todo $pause-1-255-220-0&#xD;fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0&#xD;pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0&#xD;pl:jeżeli _ wykonaj _ i pauzuj wszystko $pause-1-255-220-0&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>breakpoint</l></list></block><block s="doIf"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doSetVar"><l>breakpoint</l><block var="test"/></block><block s="doShowVar"><l>breakpoint</l></block><block s="doRun"><block var="action"/><list></list></block><block s="doPauseAll"></block><block s="doHideVar"><l></l></block></script><list></list></block></script></block-definition><block-definition s="ignore %&apos;x&apos;" type="command" category="control"><comment x="0" y="0" w="206.66666666666666" collapsed="false">This block does nothing.&#xD;Use it when you are calling a reporter&#xD;for its side effect and don&apos;t care about&#xD;its return value.</comment><header></header><code></code><translations>de:ignoriere _&#xD;ca:ignora _&#xD;es:ignorar _&#xD;fr:ignore _&#xD;pt:ignora _&#xD;pl:ignoruj _&#xD;</translations><inputs><input type="%s"></input></inputs></block-definition><block-definition s="cascade %&apos;num&apos; times %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="138" collapsed="false">Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right.  The # variable can be used inside f to represent how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _&#xD;ca:en cascada _ vegades _ _ _&#xD;pl:kaskada _ razy _ _ _&#xD;</translations><inputs><input type="%n"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="cascade until %&apos;pred&apos; %&apos;function&apos; %&apos;init&apos; %&apos;#&apos;" type="reporter" category="control"><comment x="0" y="0" w="210.47493489583334" collapsed="false">Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right.  The # variable can be used inside f or condition to indicate how many times f has been called.</comment><header></header><code></code><translations>pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _&#xD;ca:en cascada fins _ _ _ _&#xD;pl:kaskada aż _ _ _ _&#xD;</translations><inputs><input type="%predRing"></input><input type="%repRing"></input><input type="%s"></input><input type="%upvar"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doSetVar"><l>result</l><block var="init"/></block><block s="doSetVar"><l>#</l><l>0</l></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list><block var="result"/></list></block><script><block s="doChangeVar"><l>#</l><l>1</l></block><block s="doSetVar"><l>result</l><block s="evaluate"><block var="function"/><list><block var="result"/></list></block></block></script></block><block s="doReport"><block var="result"/></block></script></block-definition><block-definition s="compose %&apos;f&apos; %&apos;g&apos;" type="reporter" category="control"><comment x="0" y="0" w="151.33333333333334" collapsed="false">Returns the function x↦f(g(x)) where f and g are the two inputs.</comment><header></header><code></code><translations>pt:a composição de _ com _&#xD;ca:composa _ _&#xD;pl:skomponuj _ _&#xD;</translations><inputs><input type="%repRing"></input><input type="%repRing"></input></inputs><script><block s="doReport"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="f"/><list><block s="evaluate"><block var="g"/><list><l></l></list></block></list></block></autolambda><list></list></block></block></script></block-definition><block-definition s="repeat %&apos;action&apos; until %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="202.66666666666666" collapsed="false">Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time.  So the script is run at least once.</comment><header></header><code></code><translations>pt:repete _ até que _ $loop-0.7&#xD;ca:repeteix _ fins _&#xD;pl:powtarzaj _ aż _&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="evaluate"><block var="pred"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;action&apos; while %&apos;pred&apos;" type="command" category="control"><comment x="0" y="0" w="287.3333333333333" collapsed="false">Run the script repeatedly, as long as the given condition is true.  Runs the script at least once before testing the condition.</comment><header></header><code></code><translations>pt:repete _ enquanto _ $loop-0.7&#xD;ca:repeteix _ mentre _&#xD;pl:powtarzaj _ gdy _&#xD;</translations><inputs><input type="%cs"></input><input type="%boolUE"></input></inputs><script><block s="doRun"><block var="action"/><list></list></block><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat while %&apos;pred&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="264" collapsed="false">Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run.  Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.</comment><header></header><code></code><translations>pt:enquanto _ , repete _ $loop-0.7&#xD;pl:powtarzaj gdy _ _&#xD;</translations><inputs><input type="%boolUE"></input><input type="%cs"></input></inputs><script><block s="doUntil"><block s="reportNot"><block s="evaluate"><block var="pred"/><list></list></block></block><script><block s="doRun"><block var="action"/><list></list></block></script></block></script></block-definition><block-definition s="repeat %&apos;num&apos; %&apos;#&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="171" collapsed="false">Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script.  Try&#xD;REPEAT (200)&#xD;                MOVE (#) STEPS&#xD;   RIGHT 92&#xD;with the pen down.</comment><header></header><code></code><translations>pt:repete _ vezes _ _ $loop-0.7&#xD;ca:repeteix _ _ _&#xD;pl:powtórz _ _ _&#xD;</translations><inputs><input type="%n"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>#</l><l>0</l></block><block s="doRepeat"><block var="num"/><script><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="for %&apos;i&apos; = %&apos;start&apos; step %&apos;step&apos; to %&apos;end&apos; %&apos;action&apos;" type="command" category="control"><comment x="0" y="0" w="247.33333333333334" collapsed="false">The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger.  This version allows you to provide an explicit step value.  If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.</comment><header></header><code></code><translations>pt:para _ de _ com passo _ a _ _ $loop-0.7&#xD;ca:per _ = _ incrementant _ fins _ _&#xD;pl:dla _ = _ co _ do _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%n">1</input><input type="%n">1</input><input type="%n">10</input><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>test</l></list></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="step"/><l>0</l></list></block><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script><script><block s="doSetVar"><l>test</l><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="end"/></list></block></autolambda><list></list></block></block></script></block><block s="doUntil"><block s="evaluate"><block var="test"/><list></list></block><script><block s="doRun"><block var="action"/><list></list></block><block s="doChangeVar"><l>i</l><block var="step"/></block></script></block></script></block-definition><block-definition s="let %&apos;a&apos; be %&apos;val&apos; in %&apos;loop&apos; %&apos;body&apos;" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Provides LOOP as a function of one input that runs&#xD;the body of the LET with A set to the function input,&#xD;so the body can run itself recursively.&#xD;See COPY block in Variables for an example of use.</comment><header></header><code></code><translations>pt:tendo _ o valor inicial _ , executa _ definido como _&#xD;ca:fes que _ sigui _ al _ _&#xD;pl:ustaw _ na _ w _ _&#xD;</translations><inputs><input type="%upvar"></input><input type="%s"></input><input type="%upvar"></input><input type="%cs"></input></inputs><script><block s="doSetVar"><l>a</l><block var="val"/></block><block s="doSetVar"><l>loop</l><block s="reifyScript"><script><block s="doSetVar"><l>a</l><block var="new value"/></block><block s="doRun"><block var="body"/><list><block var="a"/></list></block></script><list><l>new value</l></list></block></block><block s="doRun"><block var="loop"/><list><block var="a"/></list></block></script></block-definition><block-definition s="run %&apos;action&apos; with continuation" type="command" category="control"><header></header><code></code><translations>de:führe _ mit Continuation aus&#xD;</translations><inputs><input type="%cmdRing" initial="1"></input></inputs><script><block s="doRun"><block var="action"/><list><block s="reportEnvironment"><l><option>continuation</option></l></block></list></block></script></block-definition><block-definition s="call %&apos;action&apos; with continuation" type="reporter" category="control"><header></header><code></code><translations>de:rufe _ mit Continuation auf&#xD;</translations><inputs><input type="%cmdRing" initial="1"></input></inputs><script><block s="doReport"><block s="evaluate"><block s="reifyReporter"><script><custom-block s="run %cmdRing with continuation"><block var="action"/></custom-block></script><list></list></block><list></list></block></block></script></block-definition><block-definition s="when variable %&apos;variable&apos; changes" type="hat" category="variables"><variables><list struct="atomic" id="1099">old</list></variables><header></header><code></code><translations>de:Wenn Variable _ sich ändert&#xD;</translations><inputs><input type="%s" readonly="true" irreplaceable="true" initial="1"><options>§_getVarNamesDict</options></input></inputs><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportNot"><block s="reportListContainsItem"><block s="reportAttributeOf"><l><option>variables</option></l><block s="reportEnvironment"><l><option>caller</option></l></block></block><block var="variable"/></block></block><block s="reportVariadicEquals"><list><block s="reportAttributeOf"><block var="variable"/><block s="reportEnvironment"><l><option>caller</option></l></block></block><block var="old"/></list></block></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>old</l><block s="reportAttributeOf"><block var="variable"/><block s="reportEnvironment"><l><option>caller</option></l></block></block></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block-definition><block-definition s="when %&apos;sensor&apos; &gt; %&apos;threshold&apos;" type="hat" category="sensing"><header></header><code></code><translations>de:Wenn _ &gt; _&#xD;</translations><inputs><input type="%s" readonly="true" irreplaceable="true" initial="1">$_volume<options>volume=$_volume&#xD;timer=$_timer</options></input><input type="%n" initial="1">5</input></inputs><script><block s="doReport"><block s="reportVariadicGreaterThan"><list><block s="evaluate"><block s="reportListItem"><block s="reportApplyExtension"><l>txt_transform(name, txt)</l><list><l>unselect</l><block var="sensor"/></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>volume</l><block s="reifyReporter"><autolambda><block s="reportAudio"><l><option>volume</option></l></block></autolambda><list></list></block></list></block><block s="reportNewList"><list><l>timer</l><block s="reifyReporter"><autolambda><block s="getTimer"></block></autolambda><list></list></block></list></block></list></block></block><list></list></block><block var="threshold"/></list></block></block></script></block-definition><block-definition s="when background switches to %&apos;costume name&apos;" type="hat" category="looks"><header></header><code></code><translations>de:Wenn Hintergrund zu _ wechselt&#xD;</translations><inputs><input type="%s" readonly="true" irreplaceable="true" initial="1"><options>§_dynamicMenu</options></input></inputs><script><block s="doReport"><block s="reportVariadicEquals"><list><block s="reportAttributeOf"><l><option>costume name</option></l><block s="reportGet"><l><option>stage</option></l></block></block><block var="costume name"/></list></block></block></script><scripts><script x="10" y="121.83333333333331"><block s="receiveSlotEvent"><l>costume name</l><l><option>menu</option></l></block><block s="doReport"><block s="reportGetImageAttribute"><l><option>name</option></l><block s="reportAskFor"><block s="reportGet"><l><option>stage</option></l></block><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costumes</option></l></block></autolambda><list></list></block><list></list></block></block></block></script></scripts></block-definition><block-definition s="has %&apos;test&apos; happened?" type="predicate" category="operators"><variables><list struct="atomic" id="1235">last state</list></variables><header></header><code></code><translations>de:hat _ sich ereignet?&#xD;</translations><inputs><input type="%b" initial="1"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="test"/><block var="last state"/></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>last state</l><block var="test"/></block><block s="doReport"><block var="test"/></block></script></block-definition><block-definition s="has %&apos;value&apos; changed?" type="predicate" category="variables"><variables><list struct="atomic" id="1258">old</list></variables><header></header><code></code><translations>de:hat _ sich verändert?&#xD;</translations><inputs><input type="%s" initial="1"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="value"/><block var="old"/></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>old</l><block var="value"/></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block-definition><block-definition s="when %&apos;value&apos; changes" type="hat" category="control"><variables><list struct="atomic" id="1283">old</list></variables><header></header><code></code><translations>de:Wenn _ sich ändert&#xD;</translations><inputs><input type="%s" initial="1"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="value"/><block var="old"/></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>old</l><block var="value"/></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block-definition><block-definition s="ask %&apos;question&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s">what&apos;s your name?</input></inputs><script><block s="doAsk"><block var="question"/></block><block s="doReport"><block s="getLastAnswer"></block></block></script></block-definition><block-definition s="notify %&apos;message&apos;" type="command" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s">Alert!</input></inputs><script><block s="doTellTo"><block s="reportGet"><l><option>stage</option></l></block><block s="reifyScript"><script><block s="doAsk"><block s="reportNewList"><list><block s="reportApplyExtension"><l>ide_translate(text)</l><list><block var="message"/></list></block><block s="reportNewList"><list><block s="reportApplyExtension"><l>ide_translate(text)</l><list><l>Ok</l></list></block></list></block></list></block></block></script><list></list></block><list></list></block></script></block-definition><block-definition s="prompt %&apos;title&apos; options %&apos;options&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s">choose!</input><input type="%mult%s"></input></inputs><script><block s="doReport"><custom-block s="ask %s"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="title"/><l></l></list></block><block var="options"/><block s="reportNewList"><list><block s="reportApplyExtension"><l>ide_translate(text)</l><list><block var="title"/></list></block><block var="options"/></list></block></block></custom-block></block></script></block-definition><block-definition s="submenu %&apos;title&apos; items %&apos;items&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s">title</input><input type="%mult%s"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="title"/><l></l></list></block><l>menu</l><block s="reportApplyExtension"><l>ide_translate(text)</l><list><block var="title"/></list></block></block><block var="items"/></list></block></block></script></block-definition><block-definition s="divider" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block-definition><block-definition s="menu item icon %&apos;icon&apos; label %&apos;text&apos; value %&apos;value&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>§_objectsMenu</options></input><input type="%s">option</input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="icon"/><l></l></list></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="text"/><l></l></list></block><block var="value"/><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="value"/><l></l></list></block><block var="text"/><block s="reportNewList"><list><block var="text"/><block var="value"/></list></block></block></block><block s="reportNewList"><list><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="text"/><l></l></list></block><block s="reportIfElse"><block s="reportIsA"><block var="icon"/><l><option>text</option></l></block><block s="reportObject"><block var="icon"/></block><block var="icon"/></block><block s="reportNewList"><list><block s="reportIfElse"><block s="reportIsA"><block var="icon"/><l><option>text</option></l></block><block s="reportObject"><block var="icon"/></block><block var="icon"/></block><block var="text"/></list></block></block><block var="value"/></list></block></block></block></script></block-definition><block-definition s="menu item speech ballon %&apos;orientation&apos; message %&apos;message&apos; value %&apos;value&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">left<options>left&#xD;right</options></input><input type="%s">hey!</input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="value"/><l></l></list></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="orientation"/><l>right</l></list></block><block s="reportNewList"><list><l></l><block var="message"/></list></block><block s="reportNewList"><list><block var="message"/></list></block></block><block s="reportNewList"><list><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="orientation"/><l>right</l></list></block><block s="reportNewList"><list><l></l><block var="message"/></list></block><block s="reportNewList"><list><block var="message"/></list></block></block><block var="value"/></list></block></block></block></script></block-definition><block-definition s="menu examples" type="command" category="sensing"><comment x="0" y="0" w="212" collapsed="false">open my definition to look at examples how to use the menu blocks</comment><header></header><code></code><translations></translations><inputs></inputs><scripts><script x="10" y="79.00000000000001"><block s="doAsk"><l>what&apos;s your name?</l></block></script><script x="10" y="118.00000000000001"><custom-block s="ask %s"><l>what&apos;s your name?</l></custom-block></script><script x="10" y="151"><custom-block s="notify %s"><l>Alert!</l></custom-block></script><script x="10" y="190"><custom-block s="prompt %s options %mult%s"><l>choose!</l><list><l>foo</l><l>bar</l><l>baz</l></list></custom-block></script><script x="10" y="223"><custom-block s="prompt %s options %mult%s"><l>choose!</l><block s="reportGet"><l><option>costumes</option></l></block></custom-block></script><script x="10" y="261"><custom-block s="submenu %s items %mult%s"><l>more</l><list><l>frob</l><l>quux</l><l>garply</l></list></custom-block></script><script x="10" y="294"><custom-block s="prompt %s options %mult%s"><l>choose!</l><list><l>foo</l><l>bar</l><custom-block s="divider"></custom-block><custom-block s="submenu %s items %mult%s"><l>more</l><list><l>frob</l><custom-block s="submenu %s items %mult%s"><l></l><list><l>fred</l><l>test</l></list></custom-block><custom-block s="divider"></custom-block><l>quux</l><l>garply</l></list></custom-block><l>baz</l></list></custom-block></script><script x="10" y="377.8333333333334"><custom-block s="menu item icon %s label %s value %s"><l></l><l>option</l><l></l></custom-block></script><script x="10" y="411.8333333333334"><custom-block s="prompt %s options %mult%s"><l>choose!</l><list><custom-block s="menu item icon %s label %s value %s"><l>monkey</l><l>monkey</l><block s="reportObject"><l>monkey</l></block></custom-block><custom-block s="menu item icon %s label %s value %s"><l>Octo</l><l></l><l>42</l></custom-block><custom-block s="menu item icon %s label %s value %s"><l></l><l>choice</l><l>yay!</l></custom-block><custom-block s="divider"></custom-block><custom-block s="submenu %s items %mult%s"><l>more</l><list><custom-block s="menu item icon %s label %s value %s"><l>Alonzo</l><l>Alonzo</l><block s="reportObject"><l>Alonzo</l></block></custom-block><custom-block s="menu item icon %s label %s value %s"><l></l><l>foo</l><l>bar</l></custom-block></list></custom-block></list></custom-block></script><script x="10" y="565.8333333333335"><custom-block s="menu item speech ballon %s message %s value %s"><l>left</l><l>hey!</l><l></l></custom-block></script><script x="10" y="599.8333333333335"><custom-block s="prompt %s options %mult%s"><l>choose!</l><list><custom-block s="menu item speech ballon %s message %s value %s"><l>left</l><l>hey!</l><l></l></custom-block><custom-block s="menu item speech ballon %s message %s value %s"><l>right</l><l>wassup?</l><l></l></custom-block><custom-block s="menu item speech ballon %s message %s value %s"><l>left</l><block s="reportObject"><l>Alonzo</l></block><l></l></custom-block><custom-block s="menu item speech ballon %s message %s value %s"><l>right</l><l>so?</l><block s="reportGet"><l><option>costumes</option></l></block></custom-block></list></custom-block></script></scripts></block-definition><block-definition s="costume from text %&apos;text&apos; size %&apos;size&apos;" type="reporter" category="looks"><header></header><code></code><translations>de:Kostüm aus Text _ Größe _&#xD;pt:um traje com o texto _ de tamanho _&#xD;ca:vestit amb el text _ i mida _&#xD;</translations><inputs><input type="%s">A</input><input type="%n">72</input></inputs><script><block s="doDeclareVariables"><list><l>costume</l><l>x</l><l>y</l><l>dir</l><l>cst</l><l>tmp</l><l>trails</l><l>pen state</l></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="text"/><l> </l></list></block><script><block s="doSetVar"><l>tmp</l><custom-block s="costume from text %s size %n"><l>A</l><block var="size"/></custom-block></block><block s="doReport"><block s="reportNewCostume"><block s="reportReshape"><l>0</l><block s="reportListAttribute"><l><option>dimensions</option></l><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="tmp"/></block></block></block><block s="reportGetImageAttribute"><l><option>width</option></l><block var="tmp"/></block><block s="reportGetImageAttribute"><l><option>height</option></l><block var="tmp"/></block></block></block></script><list></list></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="doSetVar"><l>dir</l><block s="direction"></block></block><block s="doSetVar"><l>cst</l><block s="reportGet"><l><option>costume</option></l></block></block><block s="doSetVar"><l>pen state</l><block s="getPenDown"></block></block><block s="up"></block><block s="doGotoObject"><l><option>center</option></l></block><block s="setHeading"><l>90</l></block><block s="doSwitchToCostume"><l><option>Turtle</option></l></block><block s="doSetVar"><l>trails</l><block s="reportPenTrailsAsCostume"></block></block><block s="clear"></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><l>0</l></block><block s="write"><block var="text"/><block var="size"/></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><l>0</l></block><block s="doSetVar"><l>costume</l><block s="reportPenTrailsAsCostume"></block></block><block s="clear"></block><block s="doApplyExtension"><l>obj_name(obj, name)</l><list><block var="costume"/><block s="reportJoinWords"><list><block var="text"/></list></block></list></block><block s="doGotoObject"><l><option>center</option></l></block><block s="doSwitchToCostume"><block var="trails"/></block><block s="doStamp"></block><block s="doSwitchToCostume"><block var="cst"/></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setHeading"><block var="dir"/></block><block s="doIf"><block var="pen state"/><script><block s="down"></block></script><list></list></block><block s="doReport"><block var="costume"/></block></script></block-definition><block-definition s="costume %&apos;cst&apos; with background RGBA %&apos;rgb&apos; padding %&apos;padding&apos;" type="reporter" category="looks"><header></header><code></code><translations>pl:kostium _ z tłem RGBA _ rozmiar tła _&#xD;</translations><inputs><input type="%s" readonly="true"><options>§_costumesMenu</options></input><input type="%n">200</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>old</l><l>clr</l><l>new</l><l>x</l><l>y</l><l>dir</l><l>trails</l><l>flat</l><l>old size</l><l>old pen state</l></list></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="doSetVar"><l>dir</l><block s="direction"></block></block><block s="doSetVar"><l>old</l><block s="reportGet"><l><option>costume</option></l></block></block><block s="doSetVar"><l>clr</l><block s="getPenAttribute"><l><option>r-g-b-a</option></l></block></block><block s="doSetVar"><l>flat</l><block s="reportGlobalFlag"><l><option>flat line ends</option></l></block></block><block s="doSetVar"><l>old size</l><block s="getPenAttribute"><l><option>size</option></l></block></block><block s="doSetVar"><l>old pen state</l><block s="getPenDown"></block></block><block s="up"></block><block s="doGotoObject"><l><option>center</option></l></block><block s="doSetVar"><l>trails</l><block s="reportPenTrailsAsCostume"></block></block><block s="clear"></block><block s="gotoXY"><block s="reportMonadic"><l><option>neg</option></l><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportGetImageAttribute"><l><option>width</option></l><block var="cst"/></block><l>2</l></block><block var="padding"/></list></block></block><l>0</l></block><block s="setHeading"><l>90</l></block><block s="doSetGlobalFlag"><l><option>flat line ends</option></l><l><bool>true</bool></l></block><block s="setSize"><block s="reportVariadicSum"><list><block s="reportGetImageAttribute"><l><option>height</option></l><block var="cst"/></block><block s="reportVariadicProduct"><list><block var="padding"/><l>2</l></list></block></list></block></block><block s="setPenColorDimension"><l><option>r-g-b(-a)</option></l><block var="rgb"/></block><block s="down"></block><block s="setXPosition"><block s="reportMonadic"><l><option>neg</option></l><block s="xPosition"></block></block></block><block s="up"></block><block s="doSwitchToCostume"><block var="cst"/></block><block s="doGotoObject"><l><option>center</option></l></block><block s="gotoXY"><block s="reportMonadic"><l><option>neg</option></l><block s="reportGet"><l><option>center x</option></l></block></block><block s="reportMonadic"><l><option>neg</option></l><block s="reportGet"><l><option>center y</option></l></block></block></block><block s="doStamp"></block><block s="doGotoObject"><l><option>center</option></l></block><block s="doSetVar"><l>new</l><block s="reportPenTrailsAsCostume"></block></block><block s="doApplyExtension"><l>obj_name(obj, name)</l><list><block var="new"/><block s="reportIfElse"><block s="reportListContainsItem"><block s="reportTextSplit"><block s="reportAttributeOf"><l><option>costume name</option></l><l>Sprite</l></block><l><option>word</option></l></block><l>button</l></block><block s="reportAttributeOf"><l><option>costume name</option></l><l>Sprite</l></block><block s="reportJoinWords"><list><block s="reportAttributeOf"><l><option>costume name</option></l><l>Sprite</l></block><l> button</l></list></block></block></list></block><block s="clear"></block><block s="doGotoObject"><l><option>center</option></l></block><block s="doSwitchToCostume"><block var="trails"/></block><block s="doStamp"></block><block s="doSwitchToCostume"><block var="old"/></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setHeading"><block var="dir"/></block><block s="setPenColorDimension"><l><option>r-g-b(-a)</option></l><block var="clr"/></block><block s="doSetGlobalFlag"><l><option>flat line ends</option></l><block var="flat"/></block><block s="setSize"><block var="old size"/></block><block s="doIf"><block var="old pen state"/><script><block s="down"></block></script><list></list></block><block s="doReport"><block var="new"/></block></script><scripts><script x="255" y="186.19999999999993"><custom-block s="costume %s with background RGBA %n padding %n"><custom-block s="costume %s with background RGBA %n padding %n"><custom-block s="costume from text %s size %n"><l>Snap!</l><l>36</l></custom-block><l>200</l><l>10</l></custom-block><l>100</l><l>2</l></custom-block></script><comment x="248.685546875" y="121.03333333333336" w="106" collapsed="false">Use this block to make &quot;clickable&quot; buttons:</comment></scripts></block-definition><block-definition s="export costume %&apos;costume&apos;" type="command" category="looks"><header></header><code></code><translations>pl:eksportuj kostium _&#xD;</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><list></list></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>pl:ustaw nazwę kostiumu _ na _&#xD;</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><list></list></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;pl:$camera zdjęcie&#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 list %&apos;costumes&apos; base name %&apos;name&apos;" type="command" category="looks"><header></header><code></code><translations>pl:eksportuj listę kostiumu _ nazwa _&#xD;</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><list></list></block></script></block></script></block-definition><block-definition s="grayscales of %&apos;costume&apos;" type="reporter" category="looks"><header></header><code></code><translations>pl:_ w skali szarości&#xD;</translations><inputs><input type="%s" readonly="true"><options>§_costumesMenu</options></input></inputs><script><block s="doReport"><block s="reportReshape"><block s="reportVariadicSum"><block s="reportListAttribute"><l><option>columns</option></l><block s="reportVariadicProduct"><list><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="costume"/></block><block s="reportNewList"><list><l>.3</l><l>.6</l><l>.1</l></list></block></list></block></block></block><list><block s="reportGetImageAttribute"><l><option>height</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>width</option></l><block var="costume"/></block></list></block></block></script></block-definition><block-definition s="%&apos;filter&apos; filter on %&apos;costume&apos; alpha %&apos;alpha&apos;" type="reporter" category="looks"><header></header><code></code><translations>pl:filtr _ na _ kanał alfa _&#xD;</translations><inputs><input type="%s" readonly="true">blur<options>blur&#xD;sharpen&#xD;outline&#xD;emboss&#xD;edge={&#xD;left&#xD;right&#xD;top&#xD;bottom&#xD;}&#xD;Gauss</options></input><input type="%s" readonly="true">current<options>§_costumesMenu</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>kernel</l><l>pixels</l><l>channels</l></list></block><block s="doSetVar"><l>kernel</l><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>rank</option></l><block var="filter"/></block><l>1</l></list></block><block var="filter"/><custom-block s="filter %s"><block var="filter"/></custom-block></block></block><block s="doSetVar"><l>pixels</l><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="costume"/></block></block><block s="doIf"><block var="alpha"/><script><block s="doSetVar"><l>channels</l><l>4</l></block></script><list><l><bool>true</bool></l><script><block s="doSetVar"><l>channels</l><l>3</l></block><block s="doSetVar"><l>pixels</l><block s="reportVariadicProduct"><list><block var="pixels"/><block s="reportNewList"><list><l>1</l><l>1</l><l>1</l></list></block></list></block><comment w="137" collapsed="true">remove alpha channel</comment></block></script></list></block><block s="doReport"><block s="reportNewCostume"><custom-block s="convolve matrix %l * kernel %l"><block s="reportReshape"><block var="pixels"/><list><block s="reportGetImageAttribute"><l><option>height</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>width</option></l><block var="costume"/></block><block var="channels"/></list></block><block var="kernel"/></custom-block><l></l><l></l></block></block></script></block-definition><block-definition s="filter %&apos;name&apos;" type="reporter" category="looks"><header></header><code></code><translations>pl:filtr _&#xD;</translations><inputs><input type="%s" readonly="true">blur<options>blur&#xD;sharpen&#xD;outline&#xD;emboss&#xD;edge={&#xD;left&#xD;right&#xD;top&#xD;bottom&#xD;}&#xD;Gauss</options></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>sharpen</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>0</l><l>-1</l><l>0</l><l>-1</l><l>5</l><l>-1</l><l>0</l><l>-1</l><l>0</l></custom-block></block></script><list><block s="reportVariadicEquals"><list><block var="name"/><l>outline</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>-1</l><l>-1</l><l>-1</l><l>-1</l><l>8</l><l>-1</l><l>-1</l><l>-1</l><l>-1</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>emboss</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>-2</l><l>-1</l><l>0</l><l>-1</l><l>1</l><l>1</l><l>0</l><l>1</l><l>2</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>left</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>-1</l><l>0</l><l>1</l><l>-2</l><l>0</l><l>2</l><l>-1</l><l>0</l><l>1</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>right</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>1</l><l>0</l><l>-1</l><l>2</l><l>0</l><l>-2</l><l>1</l><l>0</l><l>-1</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>top</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>-1</l><l>-2</l><l>-1</l><l>0</l><l>0</l><l>0</l><l>1</l><l>2</l><l>1</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>bottom</l></list></block><script><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>1</l><l>2</l><l>1</l><l>0</l><l>0</l><l>0</l><l>-1</l><l>-2</l><l>-1</l></custom-block></block></script><block s="reportVariadicEquals"><list><block var="name"/><l>gauss</l></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportNewList"><list><block s="reportNewList"><list><l>1</l><l>4</l><l>7</l><l>4</l><l>1</l></list></block><block s="reportNewList"><list><l>4</l><l>16</l><l>26</l><l>16</l><l>4</l></list></block><block s="reportNewList"><list><l>7</l><l>26</l><l>41</l><l>26</l><l>7</l></list></block><block s="reportNewList"><list><l>4</l><l>16</l><l>26</l><l>16</l><l>4</l></list></block><block s="reportNewList"><list><l>1</l><l>4</l><l>7</l><l>4</l><l>1</l></list></block></list></block><l>273</l></block></block></script></list></block><block s="doReport"><custom-block s="kernel %br %n %n %n %br %n %n %n %br %n %n %n"><l>0.0625</l><l>0.125</l><l>0.0625</l><l>0.125</l><l>0.25</l><l>0.125</l><l>0.0625</l><l>0.125</l><l>0.0625</l><comment w="80" collapsed="false">blur</comment></custom-block></block></script></block-definition><block-definition s="rectangle costume %&apos;color&apos; width: %&apos;w&apos; height: %&apos;h&apos;" type="reporter" category="looks"><comment x="0" y="0" w="204.00000000000023" collapsed="false">make a rectangle costume with the given color, width and height. The color can be either specified by the color picker from the input slot, or it can be a list of r-g-b-a values.</comment><header></header><code></code><translations>pl:prostokątny kostium _ szerokość: _ wysokość: _&#xD;</translations><inputs><input type="%clr"></input><input type="%n">20</input><input type="%n">60</input></inputs><script><block s="doIf"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportApplyExtension"><l>clr_rgba(r, g, b, a)</l><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>4</l></list></block><block s="reportConcatenatedLists"><list><block s="reportReshape"><block var="color"/><list><l>3</l></list></block><block s="reportNewList"><list><l>255</l></list></block></list></block><block s="reportReshape"><block var="color"/><list><l>4</l></list></block></block></block></block></script><list></list></block><block s="doReport"><block s="reportNewCostume"><block s="reportReshape"><block s="reportVariadicProduct"><list><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>clr_channel(clr, rgba)</l><list><block var="color"/><l></l></list></block></autolambda><list></list></block><block s="reportNewList"><list><l>r</l><l>g</l><l>b</l><l>a</l></list></block></block><block s="reportNewList"><list><l>1</l><l>1</l><l>1</l><l>255</l></list></block></list></block><list><block s="reportVariadicProduct"><list><block s="reportVariadicMax"><list><block s="reportMonadic"><l><option>abs</option></l><block var="h"/></block><l>1</l></list></block><block s="reportVariadicMax"><list><block s="reportMonadic"><l><option>abs</option></l><block var="w"/></block><l>1</l></list></block></list></block><l>4</l></list></block><block s="reportVariadicMax"><list><block s="reportMonadic"><l><option>abs</option></l><block var="w"/></block><l>1</l></list></block><block s="reportVariadicMax"><list><block s="reportMonadic"><l><option>abs</option></l><block var="h"/></block><l>1</l></list></block></block></block></script></block-definition><block-definition s="kernel $nl %&apos;a1&apos; %&apos;b1&apos; %&apos;c1&apos; $nl %&apos;a2&apos; %&apos;b2&apos; %&apos;c2&apos; $nl %&apos;a3&apos; %&apos;b3&apos; %&apos;c3&apos;" type="reporter" category="lists"><header></header><code></code><translations>pl:jądro _ _ _ _ _ _ _ _ _ _ _ _&#xD;</translations><inputs><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportReshape"><block s="reportEnvironment"><l><option>inputs</option></l></block><list><l>3</l><l>3</l></list></block></block></script></block-definition><block-definition s="convolve matrix %&apos;matrix&apos; * kernel %&apos;kernel&apos;" type="reporter" category="operators"><header></header><code></code><translations>pl:przemnóż macierz _ * jądro _&#xD;</translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>padding</l><l>channels</l><l>every coordinate</l><l>channel indices</l></list></block><block s="doSetVar"><l>padding</l><block s="reportQuotient"><block s="reportDifference"><block s="reportListItem"><block s="reportNewList"><list><l>1</l><l>2</l></list></block><block s="reportListAttribute"><l><option>dimensions</option></l><block var="kernel"/></block></block><l>1</l></block><l>2</l></block><comment w="119" collapsed="false">assume odd dimensions, typically 3x3 or 5x5</comment></block><block s="doSetVar"><l>channels</l><block s="reportListItem"><l>3</l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="matrix"/></block></block></block><block s="doSetVar"><l>every coordinate</l><block s="reportCrossproduct"><block s="reportNumbers"><l>1</l><block s="reportListItem"><block s="reportNewList"><list><l>1</l><l>2</l></list></block><block s="reportListAttribute"><l><option>dimensions</option></l><block var="matrix"/></block></block></block></block></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="channels"/><l>0</l></list></block><script><block s="doSetVar"><l>channel indices</l><block s="reportNewList"><list><block s="reportReshape"><block s="reportNumbers"><l>1</l><block var="channels"/></block><list><block s="reportListAttribute"><l><option>length</option></l><block var="every coordinate"/></block><block var="channels"/></list></block></list></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>dimensions</option></l><block var="kernel"/></block><l>3</l></list></block><script><block s="doSetVar"><l>kernel</l><block s="reportReshape"><custom-block s="stretch %l by %n"><block s="reportListAttribute"><l><option>flatten</option></l><block var="kernel"/></block><block var="channels"/></custom-block><block s="reportConcatenatedLists"><list><block s="reportListAttribute"><l><option>dimensions</option></l><block var="kernel"/></block><block s="reportNewList"><list><block var="channels"/></list></block></list></block></block></block></script><list></list><comment w="90" collapsed="false">reshape the kernel to match the input matrix&apos;s channels, if any</comment></block></script><script><block s="doSetVar"><l>channel indices</l><block s="reportNewList"><list></list></block></block></script></block><block s="doReport"><block s="reportReshape"><block s="reportVariadicSum"><block s="reportListAttribute"><l><option>columns</option></l><block s="reportVariadicSum"><block s="reportListAttribute"><l><option>columns</option></l><block s="reportVariadicProduct"><list><block s="reportListItem"><block s="reportListAttribute"><l><option>columns</option></l><block s="reportConcatenatedLists"><list><block s="reportListAttribute"><l><option>columns</option></l><block s="reportNumbers"><block s="reportDifference"><block var="every coordinate"/><block var="padding"/></block><block s="reportVariadicSum"><list><block var="every coordinate"/><block var="padding"/></list></block></block></block><block var="channel indices"/></list></block></block><block var="matrix"/></block><block var="kernel"/></list></block></block></block></block></block><block s="reportListAttribute"><l><option>dimensions</option></l><block var="matrix"/></block><comment w="80" collapsed="false">for every padded pixel create a partial copy of the input, item-multiply it with the kernel and take its overall sum (∑)</comment></block></block></script></block-definition><block-definition s="stretch %&apos;data&apos; by %&apos;factor&apos;" type="reporter" category="lists"><header></header><code></code><translations>pl:rozciągnij _ o _&#xD;de:strecke _ um _&#xD;</translations><inputs><input type="%l"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportListItem"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportNumbers"><l>1</l><block s="reportVariadicProduct"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><block var="factor"/></list></block></block><block var="factor"/></block></block><block var="data"/></block></block></script></block-definition><block-definition s="compress %&apos;data&apos; by %&apos;factor&apos;" type="reporter" category="lists"><header></header><code></code><translations>de:stauche _ um _&#xD;</translations><inputs><input type="%l" initial="1"></input><input type="%n" initial="1"></input></inputs><script><block s="doReport"><custom-block s="stretch %l by %n"><block var="data"/><block s="reportQuotient"><l>1</l><block var="factor"/></block></custom-block></block></script></block-definition><block-definition s="turbo %&apos;action&apos;" type="command" category="other"><header></header><code></code><translations>pt:executa no modo turbo _&#xD;</translations><inputs><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>begin</l></list></block><block s="doSetVar"><l>begin</l><block s="reportGlobalFlag"><l><option>turbo mode</option></l></block></block><block s="doSetGlobalFlag"><l><option>turbo mode</option></l><l><bool>true</bool></l></block><block s="doRun"><block var="action"/><list></list></block><block s="doSetGlobalFlag"><l><option>turbo mode</option></l><block var="begin"/></block></script></block-definition><block-definition s="%&apos;frequency&apos; Hz for %&apos;duration&apos; secs at %&apos;sample rate&apos; Hz sample rate" type="reporter" category="sound"><header></header><code></code><translations>pt:as amostras de som com _ Hz de _ s amostrado a _ Hz&#xD;ca:_ Hz durant _ segons amb mostreig de _ Hz&#xD;pl:_ Hz przez _ s przy częstotliwości _ Hz&#xD;</translations><inputs><input type="%n">440<options>a 55=55&#xD;a 110=110&#xD;a 220=220&#xD;a 440=440&#xD;a 880=880&#xD;a 1760=1760&#xD;a 3520=3520</options></input><input type="%n">1</input><input type="%n">44100<options>22.05 kHz=22050&#xD;44.1 kHz=44100&#xD;88.2 kHz=88200&#xD;96 kHz=96000</options></input></inputs><script><block s="doReport"><block s="reportMonadic"><l><option>sin</option></l><custom-block s="degrees %n"><block s="reportVariadicProduct"><list><l>2</l><custom-block s="PI"></custom-block><block var="frequency"/><block s="reportQuotient"><block s="reportNumbers"><l>1</l><block s="reportVariadicProduct"><list><block var="duration"/><block var="sample rate"/></list></block></block><block var="sample rate"/></block></list></block></custom-block></block></block></script></block-definition><block-definition s="PI" type="reporter" category="operators"><header></header><code></code><translations>pt:π&#xD;</translations><inputs></inputs><script><block s="doReport"><l>3.141592653589793</l></block></script></block-definition><block-definition s="degrees %&apos;radians&apos;" type="reporter" category="operators"><header></header><code></code><translations>pt:_ radianos em graus&#xD;ca:graus de _ radiants&#xD;pl:stopnie _&#xD;</translations><inputs><input type="%n">0.5</input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="radians"/><l>180</l></list></block><custom-block s="PI"></custom-block></block></block></script></block-definition><block-definition s="sound named %&apos;name&apos;" type="reporter" category="sensing"><header></header><code></code><translations>pt:o som _&#xD;ca:so de nom _&#xD;pl:dźwięk o nazwie _&#xD;</translations><inputs><input type="%s"><options>§_soundsMenu</options></input></inputs><script><block s="doReport"><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportGetSoundAttribute"><l><option>name</option></l><l></l></block><block var="name"/></list></block></autolambda><list></list></block><block s="reportGet"><l><option>sounds</option></l></block></block></block></script></block-definition><block-definition s="plot sound %&apos;name&apos;" type="command" category="pen"><comment x="0" y="0" w="164" collapsed="false">quickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.</comment><header></header><code></code><translations>pt:desenha o gráfico do som _&#xD;ca:dibuixa el so _&#xD;pl:wykres dźwięku _&#xD;</translations><inputs><input type="%s" readonly="true"><options>§_soundsMenu</options></input></inputs><script><block s="doDeclareVariables"><list><l>samples</l><l>step</l><l>offset</l><l>i</l><l>sound</l></list></block><block s="doSetVar"><l>sound</l><block s="reportIfElse"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="name"/><l><option>list</option></l></block><block s="reportIsA"><block var="name"/><l><option>sound</option></l></block></list></block><block var="name"/><custom-block s="sound named %s"><block var="name"/></custom-block></block></block><block s="doIfElse"><block s="reportIsA"><block var="sound"/><l><option>sound</option></l></block><script><block s="doSetVar"><l>samples</l><block s="reportGetSoundAttribute"><l><option>samples</option></l><block var="sound"/></block></block><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportGetSoundAttribute"><l><option>length</option></l><block var="sound"/></block><block s="reportVariadicProduct"><list><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></list></block></block></block></script><script><block s="doSetVar"><l>samples</l><block var="sound"/></block></script></block><block s="clear"></block><block s="up"></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="samples"/></block><l><option>list</option></l></block><script><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="samples"/></block></block><block s="reportVariadicProduct"><list><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></list></block></block></block><block s="doSetVar"><l>offset</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>4</l></block></block><block s="doForEach"><l>channel</l><block var="samples"/><script><block s="doSetVar"><l>i</l><l>0</l></block><block s="gotoXY"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>-2</l></block><block var="offset"/></block><block s="down"></block><block s="setSize"><l>1</l></block><custom-block s="turbo %cs"><script><block s="doRepeat"><block s="reportVariadicProduct"><list><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></list></block><script><block s="doChangeVar"><l>i</l><block var="step"/></block><block s="gotoXY"><block s="reportVariadicSum"><list><block s="xPosition"></block><l>0.5</l></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><block s="reportMonadic"><l><option>floor</option></l><block var="i"/></block><block var="channel"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>6.4</l></block></list></block><block var="offset"/></list></block></block></script></block></script></custom-block><block s="up"></block><block s="doChangeVar"><l>offset</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>-2</l></block></block></script></block></script><script><block s="doSetVar"><l>step</l><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="samples"/></block><block s="reportVariadicProduct"><list><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></list></block></block></block><block s="gotoXY"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>-2</l></block><l>0</l></block><block s="down"></block><block s="setSize"><l>1</l></block><custom-block s="turbo %cs"><script><block s="doRepeat"><block s="reportVariadicProduct"><list><block s="reportAttributeOf"><l><option>width</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>2</l></list></block><script><block s="doChangeVar"><l>i</l><block var="step"/></block><block s="gotoXY"><block s="reportVariadicSum"><list><block s="xPosition"></block><l>0.5</l></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><block s="reportMonadic"><l><option>floor</option></l><block var="i"/></block><block var="samples"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block s="reportGet"><l><option>stage</option></l></block></block><l>3.2</l></block></list></block></block></script></block></script></custom-block><block s="up"></block></script></block></script></block-definition><block-definition s="$circleSolid-1-255-0-0 record" type="reporter" category="sensing"><comment x="0" y="0" w="192" collapsed="false">records an audio snippet and reports it as a new sound, or zero if the user cancels</comment><header></header><code></code><translations>pt:$circleSolid-1-255-0-0 uma nova gravação&#xD;ca:$circleSolid-1-255-0-0 enregistra&#xD;pl:$circleSolid-1-255-0-0 nagranie&#xD;</translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>callback</l></list></block><block s="doSetVar"><l>callback</l><block s="reportApplyExtension"><l>mda_record</l><list></list></block></block><block s="doWaitUntil"><block s="reportVariadicNotEquals"><list><block s="evaluate"><block var="callback"/><list></list></block><block s="reportBoolean"><l><bool>false</bool></l></block></list></block></block><block s="doReport"><block s="evaluate"><block var="callback"/><list></list></block></block></script></block-definition><block-definition s="note from %&apos;pitch&apos; hz" type="reporter" category="sound"><header></header><code></code><translations>pt:a nota com _ Hz&#xD;ca:nota de _ Hz&#xD;pl:nuta z _ Hz&#xD;</translations><inputs><input type="%n">440</input></inputs><script><block s="doReport"><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>12</l><block s="reportQuotient"><block s="reportMonadic"><l><option>log</option></l><block s="reportQuotient"><block var="pitch"/><l>440</l></block></block><block s="reportMonadic"><l><option>log</option></l><l>2</l></block></block></list></block><l>69</l></list></block></block></block></script></block-definition><block-definition s="hz from note %&apos;note&apos;" type="reporter" category="sound"><header></header><code></code><translations>pt:a frequência da nota _&#xD;ca:freqüència (hz) de la nota _&#xD;pl:częstotliwość z nuty _&#xD;</translations><inputs><input type="%n">69</input></inputs><script><block s="doReport"><block s="reportVariadicProduct"><list><l>440</l><block s="reportPower"><l>2</l><block s="reportQuotient"><block s="reportDifference"><block var="note"/><l>69</l></block><l>12</l></block></block></list></block></block></script></block-definition><block-definition s="name of note %&apos;note&apos;" type="reporter" category="sound"><header></header><code></code><translations>pt:o nome da nota _&#xD;ca:nom de la nota _&#xD;pl:nazwa nuty _&#xD;</translations><inputs><input type="%n">69</input></inputs><script><block s="doReport"><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportModulus"><block s="reportDifference"><block var="note"/><l>69</l></block><l>12</l></block><l>1</l></list></block><block s="reportNewList"><list><l>A</l><l>Bb</l><l>B</l><l>C</l><l>C#</l><l>D</l><l>D#</l><l>E</l><l>F</l><l>F#</l><l>G</l><l>G#</l></list></block></block></block></script></block-definition><block-definition s="fade in %&apos;samples&apos; for %&apos;count&apos;" type="reporter" category="sound"><header></header><code></code><translations>pl:zanikanie _ przez _&#xD;</translations><inputs><input type="%l"></input><input type="%n"></input></inputs><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="samples"/><block s="reportConcatenatedLists"><list><block s="reportQuotient"><block s="reportNumbers"><l>0</l><block var="count"/></block><block var="count"/></block><block s="reportReshape"><block s="reportMonadic"><l><option>id</option></l><l>1</l></block><list><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="samples"/></block><block var="count"/></block></list></block></list></block></list></block></block></script></block-definition><block-definition s="store key: %&apos;key&apos; value: %&apos;value&apos; in browser" type="command" category="other"><header></header><code></code><translations>ca:desa clau: _ amb valor: _ al navegador&#xD;pl:przechowaj klucz: _ wartość: _ w przeglądarce&#xD;</translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>db_store(key, val)</l><list><block var="key"/><block var="value"/></list></block></script></block-definition><block-definition s="stored data in browser" type="reporter" category="other"><header></header><code></code><translations>ca:dades desades al navegador&#xD;pl:dane w przeglądarce&#xD;</translations><inputs></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>db_getall</l><list></list></block></block></script></block-definition><block-definition s="remove key: %&apos;key&apos; in browser" type="command" category="other"><header></header><code></code><translations>ca:esborra clau: _ del navegador&#xD;pl:usuń klucz: _ w przeglądarce&#xD;</translations><inputs><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>db_remove(key)</l><list><block var="key"/></list></block></script></block-definition><block-definition s="clear data in browser" type="command" category="other"><header></header><code></code><translations>ca:esborra dades del navegador&#xD;pl:wyczyść dane w przeglądarce&#xD;</translations><inputs></inputs><script><block s="doWarp"><script><block s="doForEach"><l>item</l><custom-block s="stored data in browser"></custom-block><script><custom-block s="remove key: %s in browser"><block s="reportListItem"><l>1</l><block var="item"/></block></custom-block></script></block></script></block></script></block-definition><block-definition s="get value from key: %&apos;key&apos; in browser" type="reporter" category="other"><comment x="0" y="0" w="199.33333333333334" collapsed="false">Reports the value previously stored under&#xD;the input key in the browser&apos;s local storage.&#xD;Reports False if the key is not found.</comment><header></header><code></code><translations>ca:obté valor de clau: _ al navegador&#xD;pl:pobierz wartość z klucza: _ w przeglądarce&#xD;</translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>db_get(key)</l><list><block var="key"/></list></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;pl:$flash sortuj _ za pomocą _&#xD;</translations><inputs><input type="%l"></input><input type="%predRing"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="data"/><block var="function"/></list></block></block></script></block-definition><block-definition s="$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;pl:$flash skojarz _ _&#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;pl:_ dla każdego _ z _ _&#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).</comment><header></header><code></code><translations>ca:notació textual de _&#xD;es:imprimible _&#xD;pl:tekstowa _&#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="reportCombine"><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;es:oración _&#xD;pl:zdanie _&#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>pl:$flash spakuj _&#xD;</translations><inputs><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>columns</option></l><block var="lists"/></block></block></script></block-definition><block-definition s="%&apos;x&apos;" type="reporter" category="lists"><comment x="0" y="0" w="105.33333333333333" collapsed="false">The identity function reports its input.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doReport"><block var="x"/></block></script></block-definition><block-definition s="multimap %&apos;function&apos; over %&apos;lists&apos;" type="reporter" category="lists"><comment x="0" y="0" w="267.3333333333333" collapsed="false">Takes as input a function of N inputs and N lists.&#xD;The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on.  (The lists should all be the same length.)</comment><header></header><code></code><translations>ca:multi-mapeja _ sobre _&#xD;pl:mapuj wielokrotnie _ na _&#xD;</translations><inputs><input type="%repRing"></input><input type="%mult%l"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="function"/><custom-block s="%s"><l></l></custom-block></block></autolambda><list></list></block><custom-block s="$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;pl:zdanie $arrowRight lista _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportKeep"><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>word</option></l></block></block></block></script></block-definition><block-definition s="do in parallel %&apos;actions&apos; and wait" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Accepts any number of scripts as inputs.  Launches a separate thread for each of them, so they are done in parallel, then waits for them all to complete.&#xD;&#xD;This doesn&apos;t change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed.  Rather, the point of this block is to allow starting synchronized but independent scripts.</comment><header></header><code></code><translations>pt:executa _ em paralelo e espera&#xD;ca:executa en paral·lel _ i espera&#xD;pl:wykonaj równolegle _ i czekaj&#xD;</translations><inputs><input type="%mult%cs" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>threads</l></list></block><block s="doSetVar"><l>threads</l><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block s="reifyScript"><script><block s="doDeclareVariables"><list><l>is running?</l></list></block><block s="doSetVar"><l>is running?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="fork"><block s="reifyScript"><script><block s="doRun"><block var="each script"/><list></list></block><block s="doSetVar"><l>is running?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><list></list></block><block s="doReport"><block s="reifyScript"><script><block s="doReport"><block var="is running?"/></block></script><list></list></block></block></script><list></list></block><list></list></block></autolambda><list><l>each script</l></list></block><block var="actions"/></block></block><block s="doWaitUntil"><block s="reportListIsEmpty"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="evaluate"><block var="test"/><list></list></block></autolambda><list><l>test</l></list></block><block var="threads"/></block></block></block></script></block-definition><block-definition s="do in parallel %&apos;actions&apos;" type="command" category="control"><comment x="0" y="0" w="238.66666666666666" collapsed="false">Accepts any number of scripts as inputs.  Launches a separate thread for each of them, so they are done in parallel, then continues with the current script while they all run.&#xD;&#xD;This doesn&apos;t change how the Snap! scheduler works; the threads are not truly asynchronous. And there is no increase in speed.  Rather, the point of this block is to allow starting synchronized but independent scripts.</comment><header></header><code></code><translations>pt:executa _ em paralelo&#xD;ca:executa en paral·lel _&#xD;pl:wykonaj równolegle _&#xD;</translations><inputs><input type="%mult%cs" initial="1"></input></inputs><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="actions"/></block><l>0</l></list></block><script><block s="fork"><block s="reportListItem"><l>1</l><block var="actions"/></block><list></list></block><custom-block s="do in parallel %mult%cs"><block s="reportCDR"><block var="actions"/></block></custom-block></script><list></list></block></script></block-definition><block-definition s="zip %&apos;fun&apos; inputs: $nl %&apos;a&apos; leaf-rank %&apos;a-rank&apos; $nl %&apos;b&apos; leaf-rank %&apos;b-rank&apos;" type="reporter" category="control"><header></header><code></code><translations></translations><inputs><input type="%repRing"></input><input type="%s"></input><input type="%n">0</input><input type="%s"></input><input type="%n">0</input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>rank</option></l><block var="a"/></block><block var="a-rank"/></list></block><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>rank</option></l><block var="b"/></block><block var="b-rank"/></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="zip %repRing inputs: %br %s leaf-rank %n %br %s leaf-rank %n"><block var="fun"/><block s="reportListItem"><l></l><block var="a"/></block><block var="a-rank"/><block s="reportListItem"><l></l><block var="b"/></block><block var="b-rank"/></custom-block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block s="reportVariadicMin"><list><block s="reportListAttribute"><l><option>length</option></l><block var="a"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block></list></block></block></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="zip %repRing inputs: %br %s leaf-rank %n %br %s leaf-rank %n"><block var="fun"/><l></l><block var="a-rank"/><block var="b"/><block var="b-rank"/></custom-block></autolambda><list></list></block><block var="a"/></block></block><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>rank</option></l><block var="b"/></block><block var="b-rank"/></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="zip %repRing inputs: %br %s leaf-rank %n %br %s leaf-rank %n"><block var="fun"/><block var="a"/><block var="a-rank"/><l></l><block var="b-rank"/></custom-block></autolambda><list></list></block><block var="b"/></block><block s="evaluate"><block var="fun"/><list><block var="a"/><block var="b"/></list></block></block></block></block></script></block-definition><block-definition s="all but first letter of %&apos;string&apos;" type="reporter" category="operators"><comment x="0" y="0" w="199" collapsed="false">Takes a text string as input, and reports a new text string containing all but the first character of the input.</comment><header></header><code></code><translations>pt:_ sem o primeiro caractere&#xD;ca:_ sense la primera lletra&#xD;es:todos menos la primera letra de _&#xD;pl:_ bez pierwszej litery&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="string"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="all but first letter of %txt"><l></l></custom-block></autolambda><list></list></block><block var="string"/></block></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><block s="reportCDR"><block s="reportTextSplit"><custom-block s="require nonempty %s %s"><block var="string"/><l>All but first of empty word.</l></custom-block><l><option>letter</option></l></block></block></block></block></script></block-definition><block-definition s="all but first word of %&apos;sentence&apos;" type="reporter" category="operators"><comment x="0" y="0" w="223.000001" collapsed="false">Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE➞LIST and processing the resulting list instead of doing recursion on sentences in text string form.  List operations are faster.)</comment><header></header><code></code><translations>pt:_ sem a primeira palavra&#xD;ca:_ sense la primera paraula&#xD;es:todas menos la primera palabra de _&#xD;pl:_ bez pierwszego słowa&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="sentence"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportListIsEmpty"><block var="sentence"/></block><script><custom-block s="error %txt"><l>All but first of empty sentence.</l></custom-block></script><script><block s="doReport"><block s="reportCDR"><block var="sentence"/></block></block></script></block></script><list></list></block><block s="doReport"><custom-block s="list $arrowRight sentence %l"><block s="reportCDR"><custom-block s="require nonempty %s %s"><custom-block s="sentence $arrowRight list %txt"><block var="sentence"/></custom-block><l>All but first of empty sentence.</l></custom-block></block></custom-block></block></script></block-definition><block-definition s="all but last letter of %&apos;string&apos;" type="reporter" category="operators"><comment x="0" y="0" w="218" collapsed="false">Takes a text string as input, and reports a new text string containing all but the last letter of the input.</comment><header></header><code></code><translations>pt:_ sem o último caractere&#xD;ca:_ sense la darrera lletra&#xD;es:todos menos la última letra de _&#xD;pl:_ bez ostatniej litery&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="string"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="all but last letter of %txt"><l></l></custom-block></autolambda><list></list></block><block var="string"/></block></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><block s="reportListAttribute"><l><option>reverse</option></l><block s="reportCDR"><block s="reportListAttribute"><l><option>reverse</option></l><block s="reportTextSplit"><custom-block s="require nonempty %s %s"><block var="string"/><l>All but first of empty word.</l></custom-block><l><option>letter</option></l></block></block></block></block></block></block></script></block-definition><block-definition s="all but last word of %&apos;sentence&apos;" type="reporter" category="operators"><comment x="0" y="0" w="211.99999999999997" collapsed="false">Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end.  (Note: consider using SENTENCE-&gt;LIST and processing the resulting list instead of doing recursion on sentences in text string form.  List operations are faster.)</comment><header></header><code></code><translations>pt:_ sem a última palavra&#xD;ca:_ sense la darrera paraula&#xD;es:todos menos la última palabra de _&#xD;pl:_ bez ostatniego słowa&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="sentence"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportListIsEmpty"><block var="sentence"/></block><script><custom-block s="error %txt"><l>All but last of empty sentence.</l></custom-block></script><script><block s="doReport"><block s="reportListAttribute"><l><option>reverse</option></l><block s="reportCDR"><block s="reportListAttribute"><l><option>reverse</option></l><block var="sentence"/></block></block></block></block></script></block></script><list></list></block><block s="doReport"><custom-block s="list $arrowRight sentence %l"><block s="reportListAttribute"><l><option>reverse</option></l><block s="reportCDR"><block s="reportListAttribute"><l><option>reverse</option></l><custom-block s="require nonempty %s %s"><custom-block s="sentence $arrowRight list %txt"><block var="sentence"/></custom-block><l>All but last of empty sentence.</l></custom-block></block></block></block></custom-block></block></script></block-definition><block-definition s="first word of %&apos;sentence&apos;" type="reporter" category="operators"><comment x="0" y="0" w="236" collapsed="false">Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the first word, with no spaces before or after it.</comment><header></header><code></code><translations>pt:a primeira palavra de _&#xD;ca:primera paraula de _&#xD;es:primera palabra de _&#xD;pl:pierwsze słowo _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="sentence"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportListIsEmpty"><block var="sentence"/></block><script><custom-block s="error %txt"><l>First of empty sentence.</l></custom-block></script><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="sentence"/></block></block></script></block></script><script><block s="doReport"><block s="reportListItem"><l>1</l><custom-block s="require nonempty %s %s"><custom-block s="sentence $arrowRight list %txt"><block var="sentence"/></custom-block><l>First of empty sentence.</l></custom-block></block></block></script></block></script></block-definition><block-definition s="last letter of %&apos;word&apos;" type="reporter" category="operators"><comment x="0" y="0" w="260" collapsed="false">Takes a text string as input, and reports the last character in the string.</comment><header></header><code></code><translations>pt:o último caractere de _&#xD;ca:primera lletra de _&#xD;es:última letra de _&#xD;pl:ostatnia litera _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="word"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="last letter of %txt"><l></l></custom-block></autolambda><list></list></block><block var="word"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="word"/></block><l>0</l></list></block><script><custom-block s="error %txt"><l>Last of empty word.</l></custom-block></script><list></list></block><block s="doReport"><block s="reportLetter"><block s="reportTextAttribute"><l><option>length</option></l><block var="word"/></block><block var="word"/></block></block></script></block-definition><block-definition s="last word of %&apos;sentence&apos;" type="reporter" category="operators"><comment x="0" y="0" w="262" collapsed="false">Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing only the last word of the input, with no spaces before or after it.</comment><header></header><code></code><translations>pt:a última palavra de _&#xD;ca:darrera paraula de _&#xD;es:última palabra de _&#xD;pl:ostatnie słowo _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="sentence"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportListIsEmpty"><block var="sentence"/></block><script><custom-block s="error %txt"><l>Last of empty sentence.</l></custom-block></script><script><block s="doReport"><block s="reportListItem"><l><option>last</option></l><block var="sentence"/></block></block></script></block></script><list></list></block><block s="doReport"><block s="reportListItem"><l><option>last</option></l><custom-block s="require nonempty %s %s"><custom-block s="sentence $arrowRight list %txt"><block var="sentence"/></custom-block><l>Last of empty sentence.</l></custom-block></block></block></script></block-definition><block-definition s="empty word? %&apos;word&apos;" type="predicate" category="operators"><comment x="0" y="0" w="208" collapsed="false">Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.</comment><header></header><code></code><translations>pt:a palavra _ está vazia&#xD;ca:paraula buida? _&#xD;es:¿palabra vacía? _&#xD;pl:puste słowo? _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="word"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="empty word? %txt"><l></l></custom-block></autolambda><list></list></block><block var="word"/></block></block></script><list></list></block><block s="doReport"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="word"/></block><l>0</l></list></block></block></script></block-definition><block-definition s="empty sentence? %&apos;sentence&apos;" type="predicate" category="operators"><comment x="0" y="0" w="221" collapsed="false">Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.</comment><header></header><code></code><translations>pt:a frase _ está vazia&#xD;ca:frase buida? _&#xD;es:¿oración vacía? _&#xD;pl:puste zdanie? _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="sentence"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportListIsEmpty"><block var="sentence"/></block></block></script><list></list></block><block s="doReport"><block s="reportListIsEmpty"><custom-block s="sentence $arrowRight list %txt"><block var="sentence"/></custom-block></block></block></script></block-definition><block-definition s="join words %&apos;words&apos;" type="reporter" category="operators"><comment x="0" y="0" w="230.66666666666666" collapsed="false">Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs.&#xD;Consider using SENTENCE (Lists palette) instead.</comment><header></header><code></code><translations>de:füge Wörter zusammen _&#xD;ca:uneix les paraules _&#xD;es:unir las palabras _&#xD;fr:fusionne les mots _&#xD;pt:uma frase com as palavras _&#xD;pl:połącz słowa _&#xD;</translations><inputs><input type="%mult%txt"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="words"/></block><script><block s="doReport"><l></l></block></script><list></list></block><block s="doDeclareVariables"><list><l>first</l><l>bf</l></list></block><block s="doSetVar"><l>first</l><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="words"/></block><l><option>list</option></l></block><custom-block s="join words %mult%txt"><block s="reportListItem"><l>1</l><block var="words"/></block></custom-block><block s="reportListItem"><l>1</l><block var="words"/></block></block></block><block s="doSetVar"><l>bf</l><custom-block s="join words %mult%txt"><block s="reportCDR"><block var="words"/></block></custom-block></block><block s="doIf"><custom-block s="empty sentence? %txt"><block var="bf"/></custom-block><script><block s="doReport"><block var="first"/></block></script><list></list></block><block s="doIf"><custom-block s="empty sentence? %txt"><block var="first"/></custom-block><script><block s="doReport"><block var="bf"/></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><list><block var="first"/><l> </l><block var="bf"/></list></block></block></script></block-definition><block-definition s="list $arrowRight sentence %&apos;data&apos;" type="reporter" category="operators"><comment x="0" y="0" w="165.33333333333334" collapsed="false">Takes a sentence in list form and reports the sentence as a text string.</comment><header></header><code></code><translations>de:Liste $arrowRight Satz _&#xD;ca:llista $arrowRight frase _&#xD;es:lista $arrowRight frase _&#xD;fr:liste $arrowRight phrase _&#xD;pt:uma frase com as palavras em _&#xD;pl:lista $arrowRight zdanie _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doReport"><custom-block s="join words %mult%txt"><block var="data"/></custom-block></block></script></block-definition><block-definition s="word $arrowRight list %&apos;word&apos;" type="reporter" category="operators"><comment x="0" y="0" w="146.42857142857144" collapsed="false">report a list in which each item is one letter from the input word</comment><header></header><code></code><translations>de:Wort $arrowRight Liste _&#xD;ca:paraula $arrowRight llista _&#xD;es:palabra $arrowRight lista _&#xD;fr:mot $arrowRight liste _&#xD;pt:uma lista com os caracteres da palavra _&#xD;pl:słowo $arrowRight lista _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIf"><block s="reportIsA"><block var="word"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="word $arrowRight list %txt"><l></l></custom-block></autolambda><list></list></block><block var="word"/></block></block></script><list></list></block><block s="doReport"><block s="reportTextSplit"><block var="word"/><l><option>letter</option></l></block></block></script></block-definition><block-definition s="list $arrowRight word %&apos;list&apos;" type="reporter" category="operators"><comment x="0" y="0" w="158.57142857142858" collapsed="false">join all the items of the input list&#xD;into a single word, and report it</comment><header></header><code></code><translations>de:Liste $arrowRight Wort _&#xD;ca:llista $arrowRight paraula _&#xD;es:lista $arrowRight palabra _&#xD;fr:liste $arrowRight mot _&#xD;pt:uma palavra com os caracteres em _&#xD;pl:lista $arrowRight słowo _&#xD;</translations><inputs><input type="%l"></input></inputs><script><block s="doIf"><block s="reportListIsEmpty"><block var="list"/></block><script><block s="doReport"><block var="list"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportIsA"><l></l><l><option>list</option></l></block></autolambda><list></list></block><block var="list"/></block><l></l></list></block><script><block s="doReport"><block s="reportJoinWords"><block var="list"/></block></block></script><list></list></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportIfElse"><block s="reportIsA"><l></l><l><option>list</option></l></block><block s="reportNewList"><list><custom-block s="list $arrowRight word %l"><l/></custom-block></list></block><l></l></block></autolambda><list></list></block><block var="list"/></block></block></script></block-definition><block-definition s="require nonempty %&apos;text&apos; %&apos;message&apos;" type="reporter" category="operators" helper="true"><comment x="0" y="0" w="220" collapsed="false">Helper function for word/sentence library.&#xD;Reports its first input, unless that input is empty, in which case it gives its second input as an error message.</comment><header></header><code></code><translations>es:requerir no vacío _ _&#xD;</translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doIfElse"><block s="reportIfElse"><block s="reportIsA"><block var="text"/><l><option>list</option></l></block><block s="reportListIsEmpty"><block var="text"/></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="text"/></block><l>0</l></list></block></block><script><custom-block s="error %txt"><block var="message"/></custom-block></script><script><block s="doReport"><block var="text"/></block></script></block></script></block-definition><block-definition s="first letter of %&apos;word&apos;" type="reporter" category="operators"><comment x="0" y="0" w="260" collapsed="false">Takes a text string as input, and reports the first character in the string.</comment><header></header><code></code><translations>pt:a primeira palavra de _&#xD;ca:primera lletra de _&#xD;es:primera letra de _&#xD;pl:pierwsza litera _&#xD;</translations><inputs><input type="%txt"></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="word"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="first letter of %txt"><l></l></custom-block></autolambda><list></list></block><block var="word"/></block></block></script><script><block s="doReport"><block s="reportLetter"><l>1</l><custom-block s="require nonempty %s %s"><block var="word"/><l>First of empty word.</l></custom-block></block></block></script></block></script></block-definition><block-definition s="listify %&apos;jsonString&apos;" type="reporter" category="operators"><header></header><code></code><translations>pt:os dados JSON _ em formato de lista&#xD;</translations><inputs><input type="%mlt"></input></inputs><script><block s="doReport"><block s="reportTextSplit"><block var="jsonString"/><l><option>json</option></l></block></block></script></block-definition><block-definition s="value at key %&apos;key&apos; of %&apos;lst&apos;" type="reporter" category="operators" helper="true"><header></header><code></code><translations>pt:o valor com chave _ em _&#xD;</translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>each item</l><block var="lst"/><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="each item"/></block><block var="key"/></list></block><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="each item"/></block></block></script><list></list></block></script></block></script></block><block s="doReport"><l></l></block></script></block-definition><block-definition s="%&apos;method&apos; url: %&apos;url&apos; send: %&apos;payload&apos; headers: %&apos;headers&apos;" type="reporter" category="sensing"><header></header><code></code><translations>pt:a resposta a _ de _ enviando _ e cabeçalhos _&#xD;</translations><inputs><input type="%s" readonly="true">GET<options>GET&#xD;POST&#xD;PUT&#xD;DELETE</options></input><input type="%s">https://snap.berkeley.edu</input><input type="%s"></input><input type="%mult%l" readonly="true"></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>xhr_request(mth, url, dta, hdrs)</l><list><block var="method"/><block var="url"/><block var="payload"/><block var="headers"/></list></block></block></script></block-definition><block-definition s="key: %&apos;key&apos; value: %&apos;value&apos;" type="reporter" category="operators"><header></header><code></code><translations>pt:um par (chave: _ , valor: _ )&#xD;</translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="key"/><block var="value"/></list></block></block></script></block-definition><block-definition s="current location" type="reporter" category="sensing"><comment x="0" y="0" w="200" collapsed="false">Reports a three-item list containing the latitude and longitude of the user, and the precision of the measurements.  Works only if the user allows snap.berkeley.edu access to location data.  Some browsers also require an HTTPS connection to Snap!.</comment><header></header><code></code><translations>pt:a localização actual do dispositivo&#xD;</translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>callback</l></list></block><block s="doSetVar"><l>callback</l><block s="reportApplyExtension"><l>geo_location(acc?)</l><list><block s="reportBoolean"><l><bool>true</bool></l></block></list></block></block><block s="doWaitUntil"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="evaluate"><block var="callback"/><list></list></block></block><l>3</l></list></block></block><block s="doReport"><block s="evaluate"><block var="callback"/><list></list></block></block></script></block-definition><block-definition s="binary data from %&apos;url&apos; type %&apos;idl&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s" readonly="true" initial="1">octet<options>byte&#xD;octet&#xD;short&#xD;unsigned short&#xD;long&#xD;unsigned long&#xD;unrestricted float&#xD;unrestricted double&#xD;bigint</options></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>xhr_binary(url, webIDL_type)</l><list><block var="url"/><block var="idl"/></list></block></block></script></block-definition><block-definition s="create %&apos;_scope&apos; var %&apos;_names&apos;" type="command" category="variables"><comment x="0" y="0" w="146" collapsed="false">This block creates  new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in &apos;names&apos; list).&#xD;&#xD;If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.</comment><header></header><code></code><translations>pt:cria as variáveis _ _&#xD;ca:crea les _ variables _&#xD;es:crear las _ variables _&#xD;de:erstellen _ var _&#xD;</translations><inputs><input type="%s" readonly="true">global<options>global&#xD;sprite&#xD;script</options></input><input type="%mult%txt"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>_item</l><block var="_names"/><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><block var="_scope"/><block var="_item"/></list></block></script></block></script></block></script></block-definition><block-definition s="delete var %&apos;_names&apos;" type="command" category="variables"><comment x="0" y="0" w="217" collapsed="false">This block deletes all the variables with the names given (inside input list).&#xD;&#xD;Each name will make only one variable deletion, and this will be the variable found following the scope order: &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos;.&#xD;&#xD;If we have a &quot;testing&quot; sprite variable and also a &quot;testing&quot; global one, deleting &quot;testing&quot; will delete only the sprite one (Yes! we can also do &quot;delete var (testing, testing)&quot; to delete both.&#xD;&#xD;If one variable does not exists (in any scope) an error happens, stopping block action in that point. You can check it before with the &quot;does var (name) exists?&quot;block. </comment><header></header><code></code><translations>pt:remove as variáveis _&#xD;ca:esborra les variables _&#xD;es:borrar variables _&#xD;de:löschen var _&#xD;</translations><inputs><input type="%mult%txt"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>_item</l><block var="_names"/><script><block s="doApplyExtension"><l>err_ignore</l><list><l></l></list></block><block s="doApplyExtension"><l>var_delete(name)</l><list><block var="_item"/></list></block></script></block></script></block></script></block-definition><block-definition s="set var %&apos;_name&apos; to %&apos;_value&apos;" type="command" category="variables"><comment x="0" y="0" w="240.4931640625" collapsed="false">This block sets the given value (last input) to the variable named with the name givent (var input).&#xD;&#xD;It looks for that variable following the scope order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos; (the first match it finds).&#xD;&#xD;If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the &quot;does var (name) exists?&quot; block. </comment><header></header><code></code><translations>ca:assigna a _ el valor _&#xD;es:asignar a _ el valor _&#xD;pt:altera _ para _&#xD;de:setze var _ auf _&#xD;pl:ustaw zmienną _ na _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>var_set(name, val)</l><list><block var="_name"/><block var="_value"/></list></block></script></block-definition><block-definition s="var %&apos;_name&apos;" type="reporter" category="variables"><comment x="0" y="0" w="178.00000000000003" collapsed="false">This block reports the value of the variable with the name given.&#xD;&#xD;It looks for that variable following the scope order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos; (the first match it finds).&#xD;&#xD;If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the &quot;does var (name) exists?&quot; block. </comment><header></header><code></code><translations>pt:o valor de _&#xD;pl:zmienna _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>var_get(name)</l><list><block var="_name"/></list></block></block></script></block-definition><block-definition s="does var %&apos;_name&apos; exist?" type="predicate" category="variables"><comment x="0" y="0" w="146" collapsed="false">This block reports &quot;true&quot; if there is a variable with this given name (input slot) in that context.&#xD;&#xD;It can be a global, sprite or script variable.&#xD;&#xD;Otherwise it reports &quot;false&quot;.</comment><header></header><code></code><translations>pt:a variável _ existe&#xD;ca:existeix la variable _ ?&#xD;es:existe la variable _ ?&#xD;de:existiert var _ ?&#xD;pl:zmienna _ istnieje?&#xD;</translations><inputs><input type="%s"></input></inputs><script><block s="doApplyExtension"><l>err_try(cmd, catch, err)</l><list><block s="reifyScript"><script><block s="doApplyExtension"><l>err_ignore</l><list><block s="reportApplyExtension"><l>var_get(name)</l><list><block var="_name"/></list></block></list></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="reifyScript"><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><l></l></list></block><block s="doApplyExtension"><l>err_reset</l><list></list></block></script></block-definition><block-definition s="show var %&apos;_name&apos;" type="command" category="variables"><comment x="0" y="0" w="181" collapsed="false">This block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input).&#xD;&#xD;It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos;.&#xD;&#xD;No errors if that variable does not exist.</comment><header></header><code></code><translations>ca:mostra la variable _&#xD;es:mostrar variable _&#xD;pt:mostra a variável _&#xD;de:zeige var _&#xD;pl:pokaż zmienną _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input></inputs><script><block s="doApplyExtension"><l>var_show(name)</l><list><block var="_name"/></list></block></script></block-definition><block-definition s="hide var %&apos;_name&apos;" type="command" category="variables"><comment x="0" y="0" w="181" collapsed="false">This block turns off (hide) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input).&#xD;&#xD;It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order &apos;script&apos; -&gt; &apos;sprite&apos; -&gt; &apos;global&apos;.&#xD;&#xD;No errors if that variable does not exist.</comment><header></header><code></code><translations>ca:amaga la variable _&#xD;es:esconder variable _&#xD;pt:esconde a variável _&#xD;de:verstecke var _&#xD;pl:ukryj zmienną _&#xD;</translations><inputs><input type="%s"><options>§_getVarNamesDict</options></input></inputs><script><block s="doApplyExtension"><l>var_hide(name)</l><list><block var="_name"/></list></block></script></block-definition><block-definition s="parse code %&apos;code&apos; to blocks" type="reporter" category="operators"><comment x="0" y="0" w="104" collapsed="false">turn LISP syntax text code into blocks</comment><header></header><code></code><translations>de:verwandle Code _ in Blöcke&#xD;ca:blocs del codi textual _&#xD;</translations><inputs><input type="%code" initial="1">(+ 3 4)</input></inputs><script><block s="doReport"><block s="reportJoinWords"><block s="reportTextSplit"><block var="code"/><l><option>blocks</option></l></block></block></block></script></block-definition><block-definition s="encode blocks %&apos;script&apos; to text %&apos;lines&apos; pretty" type="reporter" category="operators"><comment x="0" y="0" w="106" collapsed="false">turn blocks into LISP syntax text code.</comment><header></header><code></code><translations>de:verwandle Blöcke _ in Code _ formatiert&#xD;ca:codi textual dels blocs _ formatats _&#xD;</translations><inputs><input type="%repRing" initial="1"></input><input type="%b" initial="1">true</input></inputs><script><block s="doReport"><block s="evaluate"><block s="reifyReporter"><autolambda><block s="reportListAttribute"><l></l><block s="reportTextSplit"><block var="script"/><l><option>blocks</option></l></block></block></autolambda><list></list></block><list><block s="reportIfElse"><block var="lines"/><l>lines</l><l>text</l></block></list></block></block></script></block-definition><block-definition s="outline color: %&apos;clr&apos; width: %&apos;w&apos;" type="reporter" category="looks"><header></header><code></code><translations></translations><inputs><input type="%clr" initial="1">5</input><input type="%n" initial="1">5</input></inputs><script><block s="doDeclareVariables"><list><l>costume</l><l>padding</l><l>color</l><l>halo</l><l>empty</l></list></block><block s="doSetVar"><l>padding</l><block var="w"/></block><block s="doSetVar"><l>empty</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l><l>0</l></list></block></block><block s="doSetVar"><l>color</l><block s="reportVariadicProduct"><list><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>clr_channel(clr, rgba)</l><list><block var="clr"/><l></l></list></block></autolambda><list></list></block><block s="reportNewList"><list><l>r</l><l>g</l><l>b</l><l>a</l></list></block></block><block s="reportNewList"><list><l>1</l><l>1</l><l>1</l><l>255</l></list></block></list></block></block><block s="doSetVar"><l>costume</l><block s="reportGet"><l><option>costume</option></l></block></block><block s="clear"></block><block s="doSwitchToCostume"><block s="reportNewCostume"><block s="reportReshape"><l>0</l><block s="reportVariadicSum"><list><block s="reportNewList"><list><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></list></block><block s="reportVariadicProduct"><list><block var="padding"/><l>2</l></list></block></list></block></block><l></l><l></l></block></block><block s="doTellTo"><block s="newClone"><l><option>myself</option></l></block><block s="reifyScript"><script><block s="doSwitchToCostume"><block var="costume"/></block><block s="doSetVar"><l><option>my rotation style</option></l><l>0</l></block><block s="doWarp"><script><block s="doRepeat"><l>36</l><script><block s="forward"><block var="padding"/></block><block s="doPasteOn"><l></l></block><block s="forward"><block s="reportMonadic"><l><option>neg</option></l><block var="padding"/></block></block><block s="turn"><l>10</l></block></script></block></script></block><block s="doCutFrom"><l></l></block><block s="removeClone"></block></script><list></list></block><list><block s="reportGet"><l><option>self</option></l></block></list></block><block s="doSwitchToCostume"><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block s="reportListAttribute"><l><option>columns</option></l><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></block></block><l>1</l></list></block><block var="empty"/><block var="color"/></block></block><block s="doSetVar"><l>halo</l><block s="reportGet"><l><option>costume</option></l></block></block><block s="doSwitchToCostume"><block var="costume"/></block><block s="doReport"><block var="halo"/></block></script></block-definition><block-definition s="halo color: %&apos;clr&apos; width: %&apos;w&apos; while %&apos;test&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%clr" initial="1">2</input><input type="%n" initial="1">5</input><input type="%boolUE" initial="1"></input></inputs><script><block s="doDeclareVariables"><list><l>costume</l><l>halo</l></list></block><block s="doSetVar"><l>costume</l><custom-block s="outline color: %clr width: %n"><block var="clr"/><block var="w"/></custom-block></block><block s="doSetVar"><l>halo</l><block s="newClone"><l><option>Turtle sprite</option></l></block></block><block s="doTellTo"><block var="halo"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block var="costume"/></block><block s="doSetVar"><l><option>my anchor</option></l><l></l></block></script><list></list></block><list><block s="reportGet"><l><option>self</option></l></block></list></block><block s="doWaitUntil"><block s="reportNot"><block s="evaluate"><block var="test"/><list></list></block></block></block><block s="doTellTo"><block var="halo"/><block s="reifyScript"><script><block s="removeClone"></block></script><list></list></block><list></list></block></script></block-definition><block-definition s="halo color: %&apos;clr&apos; width: %&apos;w&apos; for %&apos;time&apos; secs" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%clr" initial="1">2</input><input type="%n" initial="1">5</input><input type="%n" initial="1">2</input></inputs><script><block s="doDeclareVariables"><list><l>end</l></list></block><block s="doSetVar"><l>end</l><block s="reportVariadicSum"><list><block s="reportDate"><l><option>time in milliseconds</option></l></block><block s="reportVariadicProduct"><list><block var="time"/><l>1000</l></list></block></list></block></block><custom-block s="halo color: %clr width: %n while %boolUE"><block var="clr"/><block var="w"/><block s="reportVariadicLessThan"><list><block s="reportDate"><l><option>time in milliseconds</option></l></block><block var="end"/></list></block></custom-block></script></block-definition><block-definition s="write %&apos;text&apos; size %&apos;sz&apos; stats %&apos;stats&apos;" type="command" category="pen"><comment x="0" y="0" w="211.66666666666669" collapsed="false">Writes text onto the stage, and allows extra styling. You don&apos;t have to add stats.&#xD;&#xD;Created by Tethrarxitet!&#xD;pic goes hard feel free to screenshot</comment><header></header><code></code><translations>es:escribir _ con tamaña _ e información _&#xD;pt:escreva _ com tamanho _ e edita _&#xD;fr:écrire _ avec la taille _ et les modificateurs _&#xD;ru:напишите _ с размером _ и модами _&#xD;</translations><inputs><input type="%s">Hello!</input><input type="%n">12</input><input type="%n" readonly="true"></input></inputs><script><block s="write"><block var="text"/><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="stats"/><l>0</l></list></block><block var="sz"/><block s="reportJoinWords"><list><block s="reportIfElse"><block s="reportVariadicEquals"><list><block s="reportTypeOf"><block s="reportListItem"><l>2</l><block var="stats"/></block></block><l>Boolean</l></list></block><block s="reportIfElse"><block s="reportListItem"><l>2</l><block var="stats"/></block><l>bold </l><l></l></block><block s="reportJoinWords"><list><block s="reportListItem"><l>2</l><block var="stats"/></block><l> </l></list></block></block><block s="reportIfElse"><block s="reportListItem"><l>3</l><block var="stats"/></block><l>italic </l><l></l></block><block var="sz"/><l>px </l><block s="reportListItem"><l>1</l><block var="stats"/></block><l>,</l></list></block></block></block></script><scripts><script x="8.333333333333334" y="241.05555555555455"><custom-block s="write %s size %n stats %n"><l>Hello!</l><l>12</l><l></l></custom-block></script><script x="8.333333333333334" y="278.38888888888783"><custom-block s="text costume %s size %n stats %n"><l>Hello!</l><l>12</l><l></l></custom-block></script><script x="8.333333333333334" y="309.7222222222213"><custom-block s="font %s %br bold %b %br italic %b"><l>monospace</l><l/><l/></custom-block></script><script x="8.333333333333334" y="364.222222222221"><custom-block s="font %s %br weight %n %br italic %b"><l>monospace</l><l>500</l><l/></custom-block></script><comment x="249.9980468749998" y="253.0833333333322" w="90" collapsed="false">Dependencies and blocks that depend on this</comment></scripts></block-definition><block-definition s="text costume %&apos;text&apos; size %&apos;size&apos; stats %&apos;stats&apos;" type="reporter" category="pen"><header></header><code></code><translations>es:disfraz de texto _ tamaño _ e información _&#xD;pt:traje de texto _ com tamanho _ e edita _&#xD;fr:costume de texte _ avec taille _ et modificateurs _&#xD;ru:текст костюм _ с размером _ и модами _&#xD;</translations><inputs><input type="%s">Hello!</input><input type="%n">12</input><input type="%n" readonly="true"></input></inputs><script><block s="doDeclareVariables"><list><l>costume</l><l>x</l><l>y</l><l>dir</l><l>cst</l><l>trails</l><l>pen state</l></list></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="doSetVar"><l>dir</l><block s="direction"></block></block><block s="doSetVar"><l>cst</l><block s="reportGet"><l><option>costume</option></l></block></block><block s="doSetVar"><l>pen state</l><block s="getPenDown"></block></block><block s="up"></block><block s="doGotoObject"><l><option>center</option></l></block><block s="setHeading"><l>90</l></block><block s="doSwitchToCostume"><l><option>Turtle</option></l></block><block s="doSetVar"><l>trails</l><block s="reportPenTrailsAsCostume"></block></block><block s="clear"></block><block s="gotoXY"><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><l>0</l></block><custom-block s="write %s size %n stats %n"><block var="text"/><block var="size"/><block var="stats"/></custom-block><block s="gotoXY"><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block><l>0</l></block><block s="doSetVar"><l>costume</l><block s="reportPenTrailsAsCostume"></block></block><block s="clear"></block><block s="doApplyExtension"><l>obj_name(obj, name)</l><list><block var="costume"/><block s="reportJoinWords"><list><block var="text"/></list></block></list></block><block s="doGotoObject"><l><option>center</option></l></block><block s="doSwitchToCostume"><block var="trails"/></block><block s="doStamp"></block><block s="doSwitchToCostume"><block var="cst"/></block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="setHeading"><block var="dir"/></block><block s="doIf"><block var="pen state"/><script><block s="down"></block></script><list></list></block><block s="doReport"><block var="costume"/></block></script></block-definition><block-definition s="font %&apos;font&apos; $nl bold %&apos;it&apos; $nl italic %&apos;bd&apos;" type="reporter" category="pen"><comment x="0" y="0" w="173.33333333333334" collapsed="false">Creates a list of stats for the new write block to use.&#xD;&#xD;Created by Tethrarxitet!&#xD;tamale</comment><header></header><code></code><translations>pt:nome da fonte _ _ texto em negrito? _ _ oblíquo? _&#xD;es:nombre de fuente _ _ ¿negrita? _ _ ¿oblicuo? _&#xD;fr:nom de la police _ _ police en gras ? _ _ oblique ? _&#xD;ru:шриф _ _ жирный? _ _ курсив? _&#xD;</translations><inputs><input type="%s">monospace</input><input type="%b"></input><input type="%b"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="font"/><block var="it"/><block var="bd"/></list></block></block></script></block-definition><block-definition s="font %&apos;font&apos; $nl weight %&apos;it&apos; $nl italic %&apos;bd&apos;" type="reporter" category="pen"><comment x="0" y="0" w="173.33333333333334" collapsed="false">Creates a list of stats for the new write block to use.&#xD;&#xD;Created by Tethrarxitet!&#xD;tamale</comment><header></header><code></code><translations>es:nombre de la fuente _ _ espesor _ _ ¿oblicuo? _&#xD;pt:nome da fonte _ _ grossura _ _ oblíquo? _&#xD;fr:nom de la police _ _ épaisseur _ _ oblique ? _&#xD;ru:шриф _ _ жирность _ _ курсив? _&#xD;</translations><inputs><input type="%s">monospace</input><input type="%n">500</input><input type="%b"></input></inputs><script><block s="doReport"><block s="reportNewList"><list><block var="font"/><block var="it"/><block var="bd"/></list></block></block></script></block-definition><block-definition s="run api: %&apos;receiver&apos; . %&apos;method&apos; ( %&apos;inputs&apos; )" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true" initial="1"><options>§_objectsMenu</options></input><input type="%s" readonly="true" irreplaceable="true" initial="1"><options>§_dynamicMenu</options></input><input type="%mult%s"></input></inputs><script><block s="doDeclareVariables"><list><l>block</l></list></block><block s="doSetVar"><l>block</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>label</option></l><block s="reifyReporter"><script></script><list></list></block></block><block var="method"/></list></block></autolambda><list></list></block><custom-block s="%s methods of %s"><l>command</l><block var="receiver"/></custom-block></block></block><block s="doIf"><block s="reportIsA"><block var="block"/><l><option>script</option></l></block><script><block s="doTellTo"><block var="receiver"/><block var="block"/><block var="inputs"/></block></script><list></list></block></script><scripts><script x="10" y="240.24999999999994"><block s="receiveSlotEvent"><l>method</l><l><option>menu</option></l></block><block s="doReport"><block s="reportBlockAttribute"><l><option>label</option></l><custom-block s="%s methods of %s"><l>command</l><block var="receiver"/></custom-block></block></block></script><script x="10" y="322.24999999999994"><block s="receiveSlotEvent"><l>receiver</l><l><option>edited</option></l></block><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportBlockAttribute"><l><option>label</option></l><custom-block s="%s methods of %s"><l>command</l><block var="receiver"/></custom-block></block><block var="method"/></block></block><script><block s="doSetSlot"><l>method</l><l></l></block></script><list></list></block></script><script x="10" y="471.6666666666667"><block s="receiveSlotEvent"><l>method</l><l><option>edited</option></l></block><block s="doDeclareVariables"><list><l>block</l></list></block><block s="doSetVar"><l>block</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>label</option></l><block s="reifyReporter"><script></script><list></list></block></block><block var="method"/></list></block></autolambda><list></list></block><custom-block s="%s methods of %s"><l>command</l><block var="receiver"/></custom-block></block></block><block s="doIf"><block s="reportIsA"><block var="block"/><l><option>script</option></l></block><script><block s="doSetSlot"><l>inputs</l><block s="reportReshape"><block var="inputs"/><list><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block s="reportTextSplit"><block var="block"/><l><option>blocks</option></l></block></block><l>1</l></block></list></block></block></script><list></list></block></script></scripts></block-definition><block-definition s="call api: %&apos;receiver&apos; . %&apos;method&apos; ( %&apos;inputs&apos; )" type="reporter" category="control"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true" initial="1"><options>§_objectsMenu</options></input><input type="%s" readonly="true" irreplaceable="true" initial="1"><options>§_dynamicMenu</options></input><input type="%mult%s"></input></inputs><script><block s="doDeclareVariables"><list><l>block</l></list></block><block s="doSetVar"><l>block</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>label</option></l><block s="reifyReporter"><script></script><list></list></block></block><block var="method"/></list></block></autolambda><list></list></block><custom-block s="%s methods of %s"><l>reporter</l><block var="receiver"/></custom-block></block></block><block s="doIf"><block s="reportIsA"><block var="block"/><l><option>script</option></l></block><script><block s="doTellTo"><block var="receiver"/><block var="block"/><block var="inputs"/></block></script><list></list></block></script><scripts><script x="10" y="234.24999999999994"><block s="receiveSlotEvent"><l>method</l><l><option>menu</option></l></block><block s="doReport"><block s="reportBlockAttribute"><l><option>label</option></l><custom-block s="%s methods of %s"><l>reporter</l><block var="receiver"/></custom-block></block></block></script><script x="10" y="316.24999999999994"><block s="receiveSlotEvent"><l>receiver</l><l><option>edited</option></l></block><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportBlockAttribute"><l><option>label</option></l><custom-block s="%s methods of %s"><l>reporter</l><block var="receiver"/></custom-block></block><block var="method"/></block></block><script><block s="doSetSlot"><l>method</l><l></l></block></script><list></list></block></script><script x="10" y="465.6666666666667"><block s="receiveSlotEvent"><l>method</l><l><option>edited</option></l></block><block s="doDeclareVariables"><list><l>block</l></list></block><block s="doSetVar"><l>block</l><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>label</option></l><block s="reifyReporter"><script></script><list></list></block></block><block var="method"/></list></block></autolambda><list></list></block><custom-block s="%s methods of %s"><l>reporter</l><block var="receiver"/></custom-block></block></block><block s="doIf"><block s="reportIsA"><block var="block"/><l><option>script</option></l></block><script><block s="doSetSlot"><l>inputs</l><block s="reportReshape"><block var="inputs"/><list><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block s="reportTextSplit"><block var="block"/><l><option>blocks</option></l></block></block><l>1</l></block></list></block></block></script><list></list></block></script></scripts></block-definition><block-definition s="%&apos;type&apos; methods of %&apos;sprite&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true" initial="1">command<options>command&#xD;reporter</options></input><input type="%s" readonly="true" initial="1">$_myself<options>§_objectsMenuWithSelf</options></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportIsA"><block s="reportObject"><block var="sprite"/></block><l><option>agent</option></l></block><block s="reportAskFor"><block var="sprite"/><block s="reifyReporter"><autolambda><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><block s="reportNot"><block s="reportBlockAttribute"><l><option>global?</option></l><block s="reifyReporter"><script></script><list></list></block></block></block><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>type</option></l><block s="reifyReporter"><script></script><list></list></block></block><block s="reportListIndex"><block var="type"/><block s="reportNewList"><list><l>command</l><l>reporter</l></list></block></block></list></block><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block s="reportBlockAttribute"><l><option>comment</option></l><block s="reifyReporter"><script></script><list></list></block></block><l><option>word</option></l></block></block><l>private</l></list></block></list></block></autolambda><list></list></block><block s="reportGet"><l><option>blocks</option></l></block></block></autolambda><list></list></block><list></list></block><block s="reportNewList"><list></list></block></block></block></script></block-definition><block-definition s="INFO &quot;My own blocks&quot;" type="command" category="0. My own blocks"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><l>INFO about "My own blocks"</l><l>This category is the right place to keep your own newly developed blocks.&#xD;(For teachers: this makes the correction of student projects much easier, because their results are not scattered over the other categories). </l></custom-block></script></block-definition><block-definition s="read file with filepicker" type="reporter" category="3. Data tools" helper="true"><comment x="0" y="0" w="153.5" collapsed="false">Reads a file using the filepicker.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>ready</l><l>b</l></list></block><block s="doSetVar"><l>ready</l><block s="reportApplyExtension"><l>SciS_readFileWithFilepicker()</l><list></list></block></block><block s="doWaitUntil"><block s="reportListItem"><l>1</l><block s="evaluate"><block var="ready"/><list></list></block></block></block><block s="doReport"><block s="reportListItem"><l>2</l><block s="evaluate"><block var="ready"/><list></list></block></block></block></script></block-definition><block-definition s="create a %&apos;what&apos; ( of %&apos;sprite&apos; ) $nl with name %&apos;spriteName&apos;" type="reporter" category="control"><comment x="0" y="0" w="87" collapsed="false">Creates a new sprite, a duplicate, or a permanent clone.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">duplicate<options>permanent Clone =permanentClone&#xD;duplicate&#xD;new sprite=newSprite</options></input><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input><input type="%txt">spriteName</input></inputs><script><block s="doDeclareVariables"><list><l>existingSprites</l><l>newSprite</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>create sprite/...</l></custom-block></script><list></list></block><block s="doSetVar"><l>what</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><custom-block s="trim %txt by %mult%txt"><block var="what"/><list><l> </l></list></custom-block><l> </l></block></block></block><block s="doSetVar"><l>existingSprites</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>other sprites</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doApplyExtension"><l>SciS_createObject(operation,sprite,spriteName)</l><list><block var="what"/><block var="target"/><block var="spriteName"/></list></block><block s="doForEach"><l>item</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>other sprites</option></l></block></autolambda><list></list></block><list></list></block><script><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block var="existingSprites"/><block var="item"/></block></block><script><block s="doSetVar"><l>newSprite</l><block var="item"/></block></script><list></list></block></script></block><block s="doIf"><block s="reportIsA"><block var="newSprite"/><l><option>sprite</option></l></block><script><custom-block s="change SpriteName of %s to %txt"><block var="newSprite"/><block var="spriteName"/></custom-block><custom-block s="select sprite %s"><block var="target"/></custom-block><block s="doReport"><block var="newSprite"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>something wrong!</l><l>create new sprite of sprite</l></custom-block></script></block></script></block-definition><block-definition s="import Sprite" type="command" category="control"><comment x="0" y="0" w="163.78016826923104" collapsed="false">Imports a stored sprite from a file selected with filepicker.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>ready</l><l>b</l></list></block><block s="doSetVar"><l>ready</l><block s="reportApplyExtension"><l>SciS_importSprite(params)</l><list><block s="reportNewList"><list><l>1</l></list></block></list></block></block><block s="doWaitUntil"><block s="reportListItem"><l>1</l><block s="evaluate"><block var="ready"/><list></list></block></block></block><block s="doApplyExtension"><l>SciS_importSprite(params)</l><list><block s="reportNewList"><list><l>2</l><block s="reportListItem"><l>2</l><block s="evaluate"><block var="ready"/><list></list></block></block></list></block></list></block></script></block-definition><block-definition s="is JavaScript enabled?" type="predicate" category="sensing"><comment x="0" y="0" w="238.3035156249999" collapsed="false">Returns &quot;true&quot; if JavaScript is enabled, else &quot;false&quot;.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>test</l></list></block><custom-block s="safely try %cs then if %upvar %cs"><script><block s="doSetVar"><l>test</l><block s="evaluate"><block s="reportJSFunction"><list></list><l>return &apos;ok&apos;;</l></block><list></list></block></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><l>error</l><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></custom-block></script></block-definition><block-definition s="is key %&apos;n&apos; pressed?" type="predicate" category="sensing"><comment x="0" y="0" w="135.4999999999999" collapsed="false">Returns &quot;true&quot; if the key no. n is pressed, else &quot;false&quot;.</comment><header></header><code></code><translations></translations><inputs><input type="%n">27</input></inputs><script><block s="doReport"><block s="reportVariadicEquals"><list><block var="n"/><block s="reportApplyExtension"><l>SciS_currentKeyPressed()</l><list></list></block></list></block></block></script></block-definition><block-definition s="datetime" type="reporter" category="sensing" space="true"><comment x="0" y="0" w="117.53846153846155" collapsed="false">Reports date and time in standard notation.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>month</l><l>hour</l><l>minute</l><l>second</l><l>day</l><l>f</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>month</l><block s="reportDate"><l><option>month</option></l></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="month"/><l>10</l></list></block><script><block s="doSetVar"><l>month</l><block s="reportJoinWords"><list><l>0</l><block var="month"/></list></block></block></script><list></list></block><block s="doSetVar"><l>day</l><block s="reportDate"><l><option>date</option></l></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="day"/><l>10</l></list></block><script><block s="doSetVar"><l>day</l><block s="reportJoinWords"><list><l>0</l><block var="day"/></list></block></block></script><list></list></block><block s="doSetVar"><l>hour</l><block s="reportDate"><l><option>hour</option></l></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="hour"/><l>10</l></list></block><script><block s="doSetVar"><l>hour</l><block s="reportJoinWords"><list><l>0</l><block var="hour"/></list></block></block></script><list></list></block><block s="doSetVar"><l>minute</l><block s="reportDate"><l><option>minute</option></l></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="minute"/><l>10</l></list></block><script><block s="doSetVar"><l>minute</l><block s="reportJoinWords"><list><l>0</l><block var="minute"/></list></block></block></script><list></list></block><block s="doSetVar"><l>second</l><block s="reportDate"><l><option>second</option></l></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="second"/><l>10</l></list></block><script><block s="doSetVar"><l>second</l><block s="reportJoinWords"><list><l>0</l><block var="second"/></list></block></block></script><list></list></block><block s="doReport"><block s="reportJoinWords"><list><block s="reportDate"><l><option>year</option></l></block><l>-</l><block var="month"/><l>-</l><block var="day"/><l>T</l><block var="hour"/><l>:</l><block var="minute"/><l>:</l><block var="second"/></list></block></block></script></block></script></block-definition><block-definition s="datetime: %&apos;dt&apos; $arrowRight %&apos;time&apos;" type="reporter" category="sensing"><comment x="0" y="0" w="97.6923076923077" collapsed="false">Reports the selected part of the datetime.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt" readonly="true">seconds today<options>Julian Date&#xD;decimal years&#xD;days this year&#xD;hours this year&#xD;minutes this year&#xD;seconds this year&#xD;hours today&#xD;minutes today&#xD;seconds today</options></input></inputs><script><block s="doDeclareVariables"><list><l>h</l><l>m</l><l>s</l><l>hms</l><l>separator</l><l>YYYY</l><l>MM</l><l>DD</l><l>YMD</l><l>monthdays</l><l>days</l><l>JD</l><l>jm</l><l>jy</l><l>i</l><l>p</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>monthdays</l><block s="reportNewList"><list><l>31</l><l>28</l><l>31</l><l>30</l><l>31</l><l>30</l><l>31</l><l>31</l><l>30</l><l>31</l><l>30</l><l>31</l></list></block></block><block s="doSetVar"><l>separator</l><custom-block s="index of %txt in %txt"><l>T</l><block var="dt"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="separator"/><l>0</l></list></block><script><block s="doSetVar"><l>separator</l><custom-block s="index of %txt in %txt"><l> </l><block var="dt"/></custom-block></block></script><list></list></block><block s="doSetVar"><l>YYYY</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><l>1</l><block s="reportDifference"><block var="separator"/><l>7</l></block></custom-block></block><block s="doSetVar"><l>MM</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><block s="reportDifference"><block var="separator"/><l>5</l></block><block s="reportDifference"><block var="separator"/><l>4</l></block></custom-block></block><block s="doSetVar"><l>DD</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><block s="reportDifference"><block var="separator"/><l>2</l></block><block s="reportDifference"><block var="separator"/><l>1</l></block></custom-block></block><block s="doSetVar"><l>h</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><block s="reportVariadicSum"><list><block var="separator"/><l>1</l></list></block><block s="reportVariadicSum"><list><block var="separator"/><l>2</l></list></block></custom-block></block><block s="doSetVar"><l>m</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><block s="reportVariadicSum"><list><block var="separator"/><l>4</l></list></block><block s="reportVariadicSum"><list><block var="separator"/><l>5</l></list></block></custom-block></block><block s="doSetVar"><l>s</l><custom-block s="substring of %txt from %n to %n"><block var="dt"/><block s="reportVariadicSum"><list><block var="separator"/><l>7</l></list></block><block s="reportTextAttribute"><l><option>length</option></l><block var="dt"/></block></custom-block></block><block s="doSetVar"><l>days</l><block var="DD"/></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block var="MM"/><l>1</l></block></list></block><script><block s="doChangeVar"><l>days</l><block s="reportListItem"><block var="i"/><block var="monthdays"/></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportModulus"><block var="YYYY"/><l>4</l></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block var="MM"/><l>2</l></list></block></list></block><script><block s="doChangeVar"><l>days</l><l>1</l></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>Julian Date</l></list></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block var="YYYY"/><l>0</l></list></block><script><block s="doChangeVar"><l>YYYY</l><l>1</l></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="MM"/><l>2</l></list></block><script><block s="doSetVar"><l>jy</l><block var="YYYY"/></block><block s="doSetVar"><l>jm</l><block s="reportVariadicSum"><list><block var="MM"/><l>1</l></list></block></block></script><script><block s="doSetVar"><l>jy</l><block s="reportDifference"><block var="YYYY"/><l>1</l></block></block><block s="doSetVar"><l>jm</l><block s="reportVariadicSum"><list><block var="MM"/><l>13</l></list></block></block></script></block><block s="doSetVar"><l>JD</l><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportMonadic"><l><option>floor</option></l><block s="reportVariadicProduct"><list><l>365.25</l><block var="jy"/></list></block></block><block s="reportMonadic"><l><option>floor</option></l><block s="reportVariadicProduct"><list><l>30.6001</l><block var="jm"/></list></block></block></list></block><block s="reportVariadicSum"><list><block var="DD"/><l>1720995</l></list></block></list></block></block><block s="doIf"><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportVariadicSum"><list><block var="DD"/><block s="reportVariadicProduct"><list><l>31</l><block s="reportVariadicSum"><list><block var="MM"/><block s="reportVariadicProduct"><list><l>12</l><block var="YYYY"/></list></block></list></block></list></block></list></block><block s="reportVariadicSum"><list><l>15</l><block s="reportVariadicProduct"><list><l>31</l><block s="reportVariadicSum"><list><l>10</l><block s="reportVariadicProduct"><list><l>12</l><l>1582</l></list></block></list></block></list></block></list></block></list></block><script><block s="doChangeVar"><l>JD</l><block s="reportVariadicSum"><list><block s="reportDifference"><l>2</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportVariadicProduct"><list><l>0.01</l><block var="jy"/></list></block></block></block><block s="reportMonadic"><l><option>floor</option></l><block s="reportVariadicProduct"><list><block s="reportVariadicProduct"><list><l>0.01</l><l>0.25</l></list></block><block var="jy"/></list></block></block></list></block></block></script><list></list></block><block s="doReport"><block s="reportVariadicSum"><list><block var="JD"/><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportDifference"><block var="h"/><l>12</l></block><block s="reportQuotient"><block var="m"/><l>60</l></block></list></block><block s="reportQuotient"><block var="s"/><l>3600</l></block></list></block><l>24</l></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>decimal years</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block var="YYYY"/><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="days"/><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block var="h"/><block s="reportQuotient"><block var="m"/><l>60</l></block></list></block><block s="reportQuotient"><block var="s"/><l>3600</l></block></list></block><l>24</l></block></list></block><l>365.252199</l></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>days this year</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block var="days"/><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block var="h"/><block s="reportQuotient"><block var="m"/><l>60</l></block></list></block><block s="reportQuotient"><block var="s"/><l>3600</l></block></list></block><l>24</l></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>hours this year</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>24</l><block var="days"/></list></block><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block var="h"/><block s="reportQuotient"><block var="m"/><l>60</l></block></list></block><block s="reportQuotient"><block var="s"/><l>3600</l></block></list></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>minutes this year</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportVariadicProduct"><list><l>24</l><l>60</l></list></block><block var="days"/></list></block><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="h"/><l>60</l></list></block><block var="m"/></list></block><block s="reportQuotient"><block var="s"/><l>60</l></block></list></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>seconds this year</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportVariadicProduct"><list><l>24</l><l>3600</l></list></block><block var="days"/></list></block><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="h"/><l>3600</l></list></block><block s="reportVariadicProduct"><list><block var="m"/><l>60</l></list></block></list></block><block var="s"/></list></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>hours today</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block var="h"/><block s="reportQuotient"><block var="m"/><l>60</l></block></list></block><block s="reportQuotient"><block var="s"/><l>3600</l></block></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="time"/><l>minutes today</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="h"/><l>60</l></list></block><block var="m"/></list></block><block s="reportQuotient"><block var="s"/><l>60</l></block></list></block></block></script><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="h"/><l>3600</l></list></block><block s="reportVariadicProduct"><list><block var="m"/><l>60</l></list></block></list></block><block var="s"/></list></block></block></script></block></script></block></script></block></script></block></script></block></script></block></script></block></script></block></script></block></script></block-definition><block-definition s="input dialog on %&apos;sprite&apos; with title %&apos;title&apos; $nl and items %&apos;items&apos;" type="reporter" category="sensing" space="true"><comment x="0" y="0" w="140.83333333333334" collapsed="false">Input dialog for a list of items. Click item by mouse and then ok. Returns the selected item.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input><input type="%txt">title</input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>result</l><l>height</l><l>width</l><l>clickpoint</l><l>ok</l><l>x</l><l>y</l><l>costume</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>input dialog on ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><l>0</l></block><block s="doSetVar"><l>costume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>height</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListAttribute"><l><option>length</option></l><block var="items"/></block><l>25</l></list></block><l>70</l></list></block></block><block s="doSetVar"><l>width</l><block s="reportTextAttribute"><l><option>length</option></l><block var="title"/></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="items"/></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="items"/></block></block><block var="width"/></list></block><script><block s="doSetVar"><l>width</l><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="items"/></block></block></block></script><list></list></block></script></block><block s="doSetVar"><l>width</l><block s="reportVariadicProduct"><list><l>8</l><block s="reportVariadicSum"><list><block var="width"/><block s="reportTextAttribute"><l><option>length</option></l><l> (click on it)</l></block></list></block></list></block></block><block s="doSetVar"><l>costume</l><block s="reportGet"><l><option>costume</option></l></block></block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set ImagePad line properties style: %txt %br width: %n color: %mult%s fill color: %mult%s on %txt"><l>continuous</l><l>1</l><list><l>black</l></list><list><l>lightGray</l></list><block var="target"/></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><block s="reportJoinWords"><list><block var="title"/><l> (click on it)</l></list></block><list><l>10</l><l>20</l></list><l>18</l><l><bool>true</bool></l><block var="target"/><l><bool>false</bool></l></custom-block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="items"/></block><script><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><block s="reportJoinWords"><list><block var="i"/><l>: </l><block s="reportListItem"><block var="i"/><block var="items"/></block></list></block><list><l>15</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="i"/><l>25</l></list></block><l>30</l></list></block></list><l>18</l><l><bool>true</bool></l><block var="target"/><l><bool>false</bool></l></custom-block></script></block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><l>25</l><block s="reportDifference"><block var="height"/><l>30</l></block></list><list><l>50</l><block s="reportDifference"><block var="height"/><l>5</l></block></list><block var="target"/><l><bool>false</bool></l></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><block var="result"/><list><l>28</l><block s="reportDifference"><block var="height"/><l>12</l></block></list><l>18</l><l><bool>true</bool></l><block var="target"/><l><bool>false</bool></l></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><l>70</l><block s="reportDifference"><block var="height"/><l>30</l></block></list><list><l>100</l><block s="reportDifference"><block var="height"/><l>5</l></block></list><block var="target"/><l><bool>false</bool></l></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><l>ok</l><list><l>75</l><block s="reportDifference"><block var="height"/><l>12</l></block></list><l>18</l><l><bool>true</bool></l><block var="target"/><l><bool>false</bool></l></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block></script></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doUntil"><block var="ok"/><script><block s="show"></block><block s="doIf"><block s="reportMouseDown"></block><script><block s="doWaitUntil"><block s="reportNot"><block s="reportMouseDown"></block></block></block><block s="doWarp"><script><block s="doSetVar"><l>clickpoint</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeCoordinates</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doSetVar"><l>x</l><block s="reportListItem"><l>1</l><block var="clickpoint"/></block></block><block s="doSetVar"><l>y</l><block s="reportListItem"><l>2</l><block var="clickpoint"/></block></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="x"/><l>15</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block s="reportVariadicSum"><list><block var="width"/><l>35</l></list></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="y"/><l>38</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><block s="reportDifference"><block var="height"/><l>35</l></block></list></block></list></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportVariadicSum"><list><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block s="reportDifference"><block var="y"/><l>38</l></block><l>25</l></block></block><l>1</l></list></block></block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><l>27</l><block s="reportDifference"><block var="height"/><l>28</l></block></list><list><l>48</l><block s="reportDifference"><block var="height"/><l>7</l></block></list><block var="target"/><l><bool>false</bool></l></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><block var="result"/><list><l>28</l><block s="reportDifference"><block var="height"/><l>12</l></block></list><l>18</l><l><bool>true</bool></l><block var="target"/><l><bool>false</bool></l></custom-block><block s="show"></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="x"/><l>70</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><l>100</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="y"/><block s="reportDifference"><block var="height"/><l>30</l></block></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block s="reportDifference"><block var="height"/><l>5</l></block></list></block></list></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>true</bool></l></custom-block></script><list></list></block><list></list></block><block s="doSwitchToCostume"><block var="costume"/></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="result"/><l>0</l></list></block><script><block s="doReport"><block s="reportListItem"><block var="result"/><block var="items"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of bounds!</l><l>input dialog on ...</l></custom-block></script></block></script><list></list></block></script></block></script><list></list></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; %&apos;name&apos; of %&apos;table&apos; $arrowRightOutline number" type="reporter" category="other" helper="true"><comment x="0" y="0" w="272.1666666666668" collapsed="false">Reports the row or column number of the row or column with the name entered, or reports an error message. If the the name is a number You can mark this with a  # (e.g. #123).</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">column<options>column&#xD;row</options></input><input type="%s">name</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>firstLine</l><l>data</l><l>i</l><l>n</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>data</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>data</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>row/column ... of ... --&gt; number</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table is empty!</l><l>row/column ... of ... --&gt; number</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table is empty!</l><l>row/column ... of ... --&gt; number</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column</l></list></block><script><block s="doSetVar"><l>firstLine</l><block s="reportListItem"><l>1</l><block var="data"/></block></block><block s="doIf"><block s="reportIsA"><block var="name"/><l><option>number</option></l></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="name"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="name"/><block s="reportListAttribute"><l><option>length</option></l><block var="firstLine"/></block></list></block></list></block><script><block s="doReport"><block var="name"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>row/column ... of ... --&gt; number</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doReport"><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doReport"><block s="reportListAttribute"><l><option>length</option></l><block var="firstLine"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block var="name"/></block><l>#</l></list></block><script><block s="doSetVar"><l>name</l><custom-block s="substring of %txt from %n to %n"><block var="name"/><l>2</l><block s="reportTextAttribute"><l><option>length</option></l><block var="name"/></block></custom-block></block></script><list></list></block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="firstLine"/></block></list></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="i"/><block var="firstLine"/></block><block var="name"/></list></block><script><block s="doSetVar"><l>n</l><block var="i"/></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="n"/><l>0</l></list></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="name"/></block><l>1</l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportUnicode"><block var="name"/></block><block s="reportUnicode"><l>A</l></block></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportUnicode"><block var="name"/></block><block s="reportUnicode"><l>Z</l></block></list></block></list></block></list></block><script><block s="doSetVar"><l>n</l><block s="reportDifference"><block s="reportUnicode"><block var="name"/></block><l>64</l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="firstLine"/></block></list></block><script><block s="doSetVar"><l>n</l><l>0</l></block></script><list></list></block></script><list></list></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><script><block s="doReport"><block var="n"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: name not found!</l><l>row/column ... of ... --&gt; number</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row</l></list></block><script><block s="doIf"><block s="reportIsA"><block var="name"/><l><option>number</option></l></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="name"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="name"/><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block></list></block><script><block s="doReport"><block var="name"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>row/column ... of ... --&gt; number</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doReport"><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doReport"><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block var="name"/></block><l>#</l></list></block><script><block s="doSetVar"><l>name</l><custom-block s="substring of %txt from %n to %n"><block var="name"/><l>2</l><block s="reportTextAttribute"><l><option>length</option></l><block var="name"/></block></custom-block></block></script><list></list></block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="name"/></list></block><script><block s="doSetVar"><l>n</l><block var="i"/></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><script><block s="doReport"><block var="n"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: name not found!</l><l>row/column ... of ... --&gt; number</l></custom-block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: something wrong!</l><l>row/column ... of ... --&gt; number</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; %&apos;n&apos; of %&apos;table&apos; $arrowRightOutline name" type="reporter" category="3. Data tools" helper="true"><comment x="0" y="0" w="141.1904761904761" collapsed="false">Reports the row or column name of the row or column with the number entered, or reports an error message.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">column<options>column&#xD;row</options></input><input type="%n">1</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>firstLine</l><l>data</l><l>c</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>data</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>data</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>table</l></custom-block></block><script><block s="doReport"><l>ERROR: only tables supported!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><l>ERROR: table is empty!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column</l></list></block><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block></list></block></list></block><l>ERROR: index out of range!</l><block s="reportListItem"><block var="n"/><block s="reportListItem"><l>1</l><block var="data"/></block></block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row</l></list></block><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block></list></block><l>ERROR: index out of range!</l><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="n"/><block var="data"/></block></block></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="evaluate predicate %&apos;predicate&apos; with %&apos;param&apos;" type="predicate" category="2. Math tools" helper="true"><comment x="0" y="0" w="118.33333333333329" collapsed="false">Evaluates the predicate with a given parameter.</comment><header></header><code></code><translations></translations><inputs><input type="%s">ringified predicate</input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="predicate"/><l><option>predicate</option></l></block><script><block s="doReport"><block s="evaluate"><block var="predicate"/><list><block var="param"/></list></block></block></script><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block></script></block-definition><block-definition s="evaluate intervals %&apos;intervals&apos; with %&apos;x&apos;" type="predicate" category="2. Math tools" helper="true"><comment x="0" y="0" w="118.65384615384613" collapsed="false">Evaluates the intervals with a given parameter.</comment><header></header><code></code><translations></translations><inputs><input type="%l">ringified predicate</input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportNot"><block s="reportIsA"><block var="x"/><l><option>number</option></l></block></block><block s="reportNot"><custom-block s="is %s a %txt"><block var="intervals"/><l>listOfIntervals</l></custom-block></block></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doForEach"><l>interval</l><block var="intervals"/><script><block s="doSetVar"><l>result</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval"/></block><l>&lt;</l></list></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block var="interval"/></block><block var="x"/></list></block><script><block s="doSetVar"><l>result</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><script><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="interval"/></block><block var="x"/></list></block><script><block s="doSetVar"><l>result</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval"/></block><l>&lt;</l></list></block><script><block s="doIf"><block s="reportVariadicLessThan"><list><block var="x"/><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block><script><block s="doIf"><block var="result"/><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script><script><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block><script><block s="doIf"><block var="result"/><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block-definition><block-definition s="%&apos;a&apos; %&apos;assertion&apos; %&apos;b&apos; ?" type="predicate" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%b">false</input><input type="%s" readonly="true">implies --&gt;<options>implies --&gt;&#xD;is equivalent to &lt;--&gt;</options></input><input type="%b">true</input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="assertion"/><l>implies --&gt;</l></list></block><script><block s="doReport"><block s="reportVariadicOr"><list><block s="reportNot"><block var="a"/></block><block var="b"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="assertion"/><l>is equivalent to &lt;--&gt;</l></list></block><script><block s="doReport"><block s="reportVariadicEquals"><list><block var="a"/><block var="b"/></list></block></block></script><list></list></block><block s="doReport"><l>ERROR: something went wrong!</l></block></script></block-definition><block-definition s="merge intervals %&apos;theIntervals&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="322.5" collapsed="false">Intervals should be of structure [leftLimit,operator1,operator2,rightLimit]</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>n</l><l>m</l><l>interval1</l><l>interval2</l><l>merged?</l><l>leftMarker</l><l>rightMarker</l><l>i</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="theIntervals"/><l>listOfIntervals</l></custom-block></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="theIntervals"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="theIntervals"/></block></script><script><block s="doReport"><l>ERROR: intervals necessary!</l></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="theIntervals"/></block><l>2</l></list></block><script><block s="doReport"><block var="theIntervals"/></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportMap"><block s="reifyReporter"><script></script><list></list></block><block var="theIntervals"/></block></block><block s="doSetVar"><l>n</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block></list></block><script><block s="doSetVar"><l>interval1</l><block s="reportListItem"><block var="n"/><block var="result"/></block><comment w="105.83333333333333" collapsed="false">compare the nth interval with the rest</comment></block><block s="doSetVar"><l>merged?</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>m</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="m"/><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="m"/><block var="n"/></list></block><script><block s="doChangeVar"><l>m</l><l>1</l></block></script><script><block s="doSetVar"><l>interval2</l><block s="reportListItem"><block var="m"/><block var="result"/></block></block><block s="doIfElse"><custom-block s="are intervals %l and %l overlapping?"><block var="interval1"/><block var="interval2"/></custom-block><script><block s="doSetVar"><l>leftMarker</l><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>1</l><block var="interval2"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>2</l><block var="interval1"/></block></list></block><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>1</l><block var="interval2"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval2"/></block><block s="reportListItem"><l>2</l><block var="interval2"/></block></list></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>2</l><block var="interval1"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval2"/></block><block s="reportListItem"><l>2</l><block var="interval2"/></block></list></block></block></block></block><comment w="90" collapsed="false">determine new limits</comment></block><block s="doSetVar"><l>rightMarker</l><block s="reportIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval2"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="interval2"/></block><block s="reportListItem"><l>3</l><block var="interval2"/></block></list></block><block s="reportIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval2"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>3</l><block var="interval1"/></block></list></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>&lt;</l></list></block><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="interval2"/></block><block s="reportListItem"><l>3</l><block var="interval2"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>3</l><block var="interval1"/></block></list></block></block></block></block></block><block s="doSetVar"><l>merged?</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doReplaceInList"><block var="n"/><block var="result"/><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="leftMarker"/></block><block s="reportListItem"><l>2</l><block var="leftMarker"/></block><block s="reportListItem"><l>2</l><block var="rightMarker"/></block><block s="reportListItem"><l>1</l><block var="rightMarker"/></block></list></block><comment w="90" collapsed="false">replace two intervals by the new one</comment></block><block s="doDeleteFromList"><block var="m"/><block var="result"/></block></script><script><block s="doChangeVar"><l>m</l><l>1</l></block></script></block></script></block></script></block><block s="doIf"><block s="reportNot"><block var="merged?"/></block><script><block s="doChangeVar"><l>n</l><l>1</l></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="are intervals %&apos;interval1&apos; and %&apos;interval2&apos; overlapping?" type="predicate" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="interval1"/><l>interval</l></custom-block><custom-block s="is %s a %txt"><block var="interval2"/><l>interval</l></custom-block></list></block></block><script><block s="doReport"><l>ERROR: intervals required!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="interval2"/></block><block s="reportListItem"><l>1</l><block var="interval1"/></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>4</l><block var="interval2"/></block><block s="reportListItem"><l>1</l><block var="interval1"/></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>4</l><block var="interval2"/></block><block s="reportListItem"><l>1</l><block var="interval1"/></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval2"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>≤</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval2"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l></list></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval2"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l></list></block></list></block></list></block></list></block></list></block></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>4</l><block var="interval2"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>1</l><block var="interval2"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="interval2"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval2"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>≤</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval2"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>&lt;</l></list></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval2"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>&lt;</l></list></block></list></block></list></block></list></block></list></block></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script></block-definition><block-definition s="predicate tree %&apos;tree&apos; $arrowRightThin list of intervals" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportListContainsItem"><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportListItem"><l>1</l><block var="tree"/></block></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="tree"/></block><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="tree"/></block><l><option>list</option></l></block><script><block s="doReplaceInList"><l>3</l><block var="tree"/><block s="evaluate"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>3</l><block var="tree"/></block></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="trim %txt by %mult%txt"><block var="value"/><list><l>[</l><l>]</l></list></custom-block></autolambda><list><l>value</l></list></block><block s="reportCDR"><block s="reportListItem"><l>3</l><block var="tree"/></block></block></block></block></block></script><list></list></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l></l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="tree"/></block><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="tree"/></block><l><option>list</option></l></block><script><block s="doReplaceInList"><l>2</l><block var="tree"/><block s="evaluate"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="trim %txt by %mult%txt"><block var="value"/><list><l>[</l><l>]</l></list></custom-block></autolambda><list><l>value</l></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></block></block></block></script><list></list></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l></l></list></block></list></block><script><block s="doReport"><l>ERROR: senseless predicate</l></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l>≤</l><l>≤</l><block s="reportListItem"><l>3</l><block var="tree"/></block></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l>≤</l><l>≤</l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>&lt;</l><l>&lt;</l><block s="reportListItem"><l>3</l><block var="tree"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l>&lt;</l><l>&lt;</l><l>Infinity</l></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>&lt;</l><l>&lt;</l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block><block s="reportNewList"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l>&lt;</l><l>&lt;</l><l>Infinity</l></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>≤</l><l>≤</l><block s="reportListItem"><l>3</l><block var="tree"/></block></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l>≤</l><l>≤</l><l>Infinity</l></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l>≤</l><l>≤</l><l>Infinity</l></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>≤</l><l>≤</l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>≤</l><l>&lt;</l><block s="reportListItem"><l>3</l><block var="tree"/></block></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l>&lt;</l><l>≤</l><l>Infinity</l></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="tree"/></block><l></l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportListItem"><l>3</l><block var="tree"/></block><l>&lt;</l><l>≤</l><l>Infinity</l></list></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>-Infinity</l><l>≤</l><l>&lt;</l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="intersect interval lists %l and %l"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportListItem"><l>2</l><block var="tree"/></block></custom-block><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportListItem"><l>3</l><block var="tree"/></block></custom-block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="merge interval lists %l and %l"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportListItem"><l>2</l><block var="tree"/></block></custom-block><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportListItem"><l>3</l><block var="tree"/></block></custom-block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportConcatenatedLists"><list><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportListItem"><l>2</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>3</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></list></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block><block s="reportNewList"><list><l>not</l><block s="reportListItem"><l>3</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block></list></block></list></block></custom-block></block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="intersect interval lists %&apos;intervals1&apos; and %&apos;intervals2&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>m</l><l>n</l><l>interval</l><l>e</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="intervals1"/><l>listOfIntervals</l></custom-block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals1"/></block><l>0</l></list></block></list></block><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="intervals2"/><l>listOfIntervals</l></custom-block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block><l>0</l></list></block></list></block></list></block></block><script><block s="doReport"><l>ERROR: interval lists required!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals1"/></block><l>1</l></list></block><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block><l>1</l></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>n</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals1"/></block></list></block><script><block s="doSetVar"><l>m</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="m"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block></list></block><script><block s="doSetVar"><l>interval</l><custom-block s="intersect intervals %l %l"><block s="reportListItem"><block var="n"/><block var="intervals1"/></block><block s="reportListItem"><block var="m"/><block var="intervals2"/></block></custom-block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="interval"/></block><l>0</l></list></block><script><block s="doAddToList"><block var="interval"/><block var="result"/></block></script><list></list></block><block s="doChangeVar"><l>m</l><l>1</l></block></script></block><block s="doChangeVar"><l>n</l><l>1</l></block></script></block><block s="doReport"><custom-block s="merge intervals %l"><block var="result"/></custom-block></block></script></block></script></block-definition><block-definition s="merge interval lists %&apos;intervals1&apos; and %&apos;intervals2&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>n</l><l>c</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="intervals1"/><l>listOfIntervals</l></custom-block><custom-block s="is %s a %txt"><block var="intervals2"/><l>listOfIntervals</l></custom-block></list></block></block><script><block s="doReport"><l>ERROR: interval lists required!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals1"/></block><l>1</l></list></block><script><block s="doReport"><block var="intervals2"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block><l>1</l></list></block><script><block s="doReport"><block var="intervals1"/></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportMap"><block s="reifyReporter"><script></script><list></list></block><block var="intervals1"/></block></block><block s="doSetVar"><l>n</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block></list></block><script><block s="doAddToList"><block s="reportListItem"><block var="n"/><block var="intervals2"/></block><block var="result"/></block><block s="doChangeVar"><l>n</l><l>1</l></block></script></block><block s="doReport"><custom-block s="merge intervals %l"><block var="result"/></custom-block></block></script></block></script></block-definition><block-definition s="intersect intervals %&apos;interval1&apos; %&apos;interval2&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="322.5" collapsed="false">Intervals should be of structure [leftLimit,operator1,operator2,rightLimit]</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>leftEdge</l><l>rightEdge</l><l>op1</l><l>op2</l><l>e</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="interval1"/><l>interval</l></custom-block><custom-block s="is %s a %txt"><block var="interval2"/><l>interval</l></custom-block></list></block></block><script><block s="doReport"><l>ERROR: intervals required!</l></block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="are intervals %l and %l overlapping?"><block var="interval1"/><block var="interval2"/></custom-block></block><script><block s="doReport"><block s="reportNewList"><list></list></block><comment w="90" collapsed="false">an empty interval</comment></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>1</l><block var="interval2"/></block></list></block><script><block s="doSetVar"><l>leftEdge</l><block s="reportListItem"><l>1</l><block var="interval2"/></block></block><block s="doSetVar"><l>op1</l><block s="reportListItem"><l>2</l><block var="interval2"/></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>1</l><block var="interval2"/></block></list></block><script><block s="doSetVar"><l>leftEdge</l><block s="reportListItem"><l>1</l><block var="interval2"/></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval2"/></block><l>&lt;</l></list></block></list></block><script><block s="doSetVar"><l>op1</l><l>&lt;</l></block></script><script><block s="doSetVar"><l>op1</l><l>≤</l></block></script></block></script><script><block s="doSetVar"><l>leftEdge</l><block s="reportListItem"><l>1</l><block var="interval1"/></block></block><block s="doSetVar"><l>op1</l><block s="reportListItem"><l>2</l><block var="interval1"/></block></block></script></block></script><comment w="82.00716145833326" collapsed="false">define left edge and operator</comment></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval2"/></block></list></block><script><block s="doSetVar"><l>rightEdge</l><block s="reportListItem"><l>4</l><block var="interval1"/></block></block><block s="doSetVar"><l>op2</l><block s="reportListItem"><l>3</l><block var="interval1"/></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>4</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval2"/></block></list></block><script><block s="doSetVar"><l>rightEdge</l><block s="reportListItem"><l>4</l><block var="interval1"/></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>&lt;</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval2"/></block><l>&lt;</l></list></block></list></block><script><block s="doSetVar"><l>op2</l><l>&lt;</l></block></script><script><block s="doSetVar"><l>op2</l><l>≤</l></block></script></block></script><script><block s="doSetVar"><l>rightEdge</l><block s="reportListItem"><l>4</l><block var="interval2"/></block></block><block s="doSetVar"><l>op2</l><block s="reportListItem"><l>3</l><block var="interval2"/></block></block></script></block></script><comment w="82.00716145833326" collapsed="false">define right edge and operator</comment></block><block s="doReport"><block s="reportNewList"><list><block var="leftEdge"/><block var="op1"/><block var="op2"/><block var="rightEdge"/></list></block></block></script></block></script></block-definition><block-definition s="is interval %&apos;interval&apos; subinterval of interval list %&apos;intervals&apos; ?" type="predicate" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>isSubinterval</l><l>b</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="interval"/><l>interval</l></custom-block></block><script><block s="doReport"><l>ERROR: interval required!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intervals"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="intervals"/><l>listOfIntervals</l></custom-block></block><script><block s="doReport"><l>ERROR: interval list required!</l></block></script><list></list></block><block s="doForEach"><l>item</l><custom-block s="merge intervals %l"><block var="intervals"/></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="intersect intervals %l %l"><block var="interval"/><block var="item"/></custom-block><block var="interval"/></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block-definition><block-definition s="elements of %&apos;elements&apos; not covered by predicate %&apos;predicate&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="269" collapsed="false">Returns all elements of a list not covered by the predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>coveredElements</l><l>b</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>coveredElements</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><custom-block s="evaluate predicate %s with %s"><block var="predicate"/><block var="element"/></custom-block></autolambda><list><l>element</l></list></block><block var="elements"/></block></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListContainsItem"><block var="coveredElements"/><l></l></block></block></autolambda><list></list></block><block var="elements"/></block></block></script></block></script></block-definition><block-definition s="cleaned up set %&apos;set&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="224.6666666666666" collapsed="false">Returns a set only with elements in item 3 not covered by the intervals or the predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block></block><script><block s="doReport"><l>ERROR: parameter is not a set!</l></block></script><list></list></block><block s="doSetVar"><l>result</l><custom-block s="copy of %s"><block var="set"/></custom-block></block><block s="doReplaceInList"><l>3</l><block var="result"/><custom-block s="%s without duplicates"><custom-block s="elements %l not covered by intervals %l"><block s="reportListItem"><l>3</l><block var="result"/></block><block s="reportListItem"><l>4</l><block var="result"/></block></custom-block></custom-block></block><block s="doReplaceInList"><l>3</l><block var="result"/><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><custom-block s="%s without duplicates"><custom-block s="elements %l not covered by predicate %s"><block s="reportListItem"><l>3</l><block var="result"/></block><block s="reportListItem"><l>5</l><block var="result"/></block></custom-block></custom-block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="result"/></block><l></l></list></block><script><block s="doReplaceInList"><l>4</l><block var="result"/><custom-block s="intervals %l not covered by predicate %s"><block s="reportListItem"><l>4</l><block var="result"/></block><block s="reportListItem"><l>5</l><block var="result"/></block></custom-block></block></script><list></list></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="result"/></block></block></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block><l><option>number</option></l></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block><l>≤</l><l>≤</l><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block></list></block><block s="reportListItem"><l>4</l><block var="result"/></block></block><block s="doDeleteFromList"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block></script><script><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block><block s="doReplaceInList"><l>2</l><block var="result"/><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="result"/></block></block><l>0</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>5</l><block var="result"/></block><l></l></list></block></list></block></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="elements %&apos;elements&apos; not covered by intervals %&apos;intervals&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="269" collapsed="false">Returns all elements of a list not covered by the intervals.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>coveredElements</l><l>b</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>coveredElements</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><custom-block s="evaluate intervals %l with %s"><block var="intervals"/><block var="element"/></custom-block></autolambda><list><l>element</l></list></block><block var="elements"/></block></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListContainsItem"><block var="coveredElements"/><l></l></block></block></autolambda><list></list></block><block var="elements"/></block></block></script></block></script></block-definition><block-definition s="elements %&apos;elements&apos; not covered by predicate %&apos;predicate&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>coveredElements</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>coveredElements</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="evaluate"><block var="predicate"/><list><block var="element"/></list></block></autolambda><list><l>element</l></list></block><block var="elements"/></block></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListContainsItem"><block var="coveredElements"/><l></l></block></block></autolambda><list></list></block><block var="elements"/></block></block></script></block></script></block-definition><block-definition s="intervals %&apos;intervals&apos; not covered by predicate %&apos;predicate&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="interval"/></block><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval"/></block><l>≤</l></list></block><block s="reportVariadicNotEquals"><list><block s="reportMonadic"><l><option>abs</option></l><block s="reportListItem"><l>1</l><block var="interval"/></block></block><l>Infinity</l></list></block><block s="evaluate"><block var="predicate"/><list><block s="reportListItem"><l>1</l><block var="interval"/></block></list></block></list></block></block></autolambda><list><l>interval</l></list></block><block var="intervals"/></block></block></script></block-definition><block-definition s="is predicate tree %&apos;predicateTree&apos; translateable to intervals?" type="predicate" category="2. Math tools" helper="true"><comment x="0" y="0" w="110.153846153846" collapsed="false">Test wether the predicate is translatable to a list of intervals.</comment><header></header><code></code><translations></translations><inputs><input type="%l">ringified predicate</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="predicateTree"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block s="reportListItem"><l>1</l><block var="predicateTree"/></block><l>comparisonOperator</l></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="predicateTree"/></block><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block></list></block><script><block s="doReport"><custom-block s="is predicate tree %l translateable to intervals?"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="predicateTree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="predicateTree"/></block><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block></list></block></list></block><script><block s="doReport"><block s="reportVariadicAnd"><list><custom-block s="is predicate tree %l translateable to intervals?"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></custom-block><custom-block s="is predicate tree %l translateable to intervals?"><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></custom-block></list></block></block></script><list></list></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block><l><option>text</option></l></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="predicateTree"/></block><l></l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></block><l>[</l></list></block><block s="reportVariadicEquals"><list><block s="reportLetter"><l><option>last</option></l><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></block><l>]</l></list></block></list></block></list></block><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="predicateTree"/></block><l><option>number</option></l></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="predicateTree"/></block><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></block><l>0</l></list></block><script><block s="doIf"><block s="reportIsA"><block s="evaluate"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></block><block s="reportMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="value"/></block><l>0</l></list></block><script><block s="doReport"><custom-block s="substring of %txt from %n to %n"><block var="value"/><l>2</l><block s="reportDifference"><block s="reportTextAttribute"><l><option>length</option></l><block var="value"/></block><l>1</l></block></custom-block></block></script><list></list></block><block s="doReport"><block var="value"/></block></script><list><l>value</l></list></block><block s="reportCDR"><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></block></block></block><l><option>number</option></l></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script><list></list></block></script><list></list></block></script><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="predicateTree"/></block><l><option>text</option></l></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="predicateTree"/></block><l></l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></block><l>[</l></list></block><block s="reportVariadicEquals"><list><block s="reportLetter"><l><option>last</option></l><block s="reportListItem"><l>3</l><block var="predicateTree"/></block></block><l></l></list></block></list></block></list></block><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block><l><option>number</option></l></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></block><l>0</l></list></block><script><block s="doIf"><block s="reportIsA"><block s="evaluate"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></block><block s="reportMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="value"/></block><l>0</l></list></block><script><block s="doReport"><custom-block s="substring of %txt from %n to %n"><block var="value"/><l>2</l><block s="reportDifference"><block s="reportTextAttribute"><l><option>length</option></l><block var="value"/></block><l>1</l></block></custom-block></block></script><list></list></block><block s="doReport"><block var="value"/></block></script><list><l>value</l></list></block><block s="reportCDR"><block s="reportListItem"><l>2</l><block var="predicateTree"/></block></block></block></block><l><option>number</option></l></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script><list></list></block></script><list></list></block></script><list></list></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="difference of interval %&apos;interval1&apos; and %&apos;interval2&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="322.5" collapsed="false">Intervals should be of structure [leftLimit,operator1,operator2,rightLimit]</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>leftEdge</l><l>rightEdge</l><l>op1</l><l>op2</l><l>intersection</l><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="interval1"/><l>interval</l></custom-block><custom-block s="is %s a %txt"><block var="interval2"/><l>interval</l></custom-block></list></block></block><script><block s="doReport"><l>ERROR: intervals required!</l></block></script><list></list></block><block s="doSetVar"><l>interval1</l><custom-block s="copy of %s"><block var="interval1"/></custom-block></block><block s="doSetVar"><l>interval2</l><custom-block s="copy of %s"><block var="interval2"/></custom-block></block><block s="doSetVar"><l>intersection</l><custom-block s="intersect intervals %l %l"><block var="interval1"/><block var="interval2"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="intersection"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportNewList"><list><block var="interval1"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="interval1"/><block var="intersection"/></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>1</l><block var="intersection"/></block></list></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="intersection"/></block><l>&lt;</l></list></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="intersection"/></block><l>≤</l><l>≤</l><block s="reportListItem"><l>1</l><block var="intersection"/></block></list></block><block var="result"/></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>4</l><block var="intersection"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><script><block s="doSetVar"><l>leftEdge</l><block s="reportListItem"><l>4</l><block var="intersection"/></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="intersection"/></block><l>≤</l></list></block><script><block s="doSetVar"><l>op1</l><l>&lt;</l></block></script><script><block s="doSetVar"><l>op1</l><l>≤</l></block></script></block><block s="doAddToList"><block s="reportNewList"><list><block var="leftEdge"/><block var="op1"/><block s="reportListItem"><l>3</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block var="result"/></block></script><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="intersection"/></block><l>&lt;</l></list></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="intersection"/></block><l>≤</l><l>≤</l><block s="reportListItem"><l>4</l><block var="intersection"/></block></list></block><block var="result"/></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block var="intersection"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="intersection"/></block><l>&lt;</l></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>≤</l><block s="reportListItem"><l>1</l><block var="intersection"/></block></list></block><block var="result"/></block></script><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l><block s="reportListItem"><l>1</l><block var="intersection"/></block></list></block><block var="result"/></block></script></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>4</l><block var="intersection"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><script><block s="doSetVar"><l>leftEdge</l><block s="reportListItem"><l>4</l><block var="intersection"/></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="intersection"/></block><l>≤</l></list></block><script><block s="doSetVar"><l>op1</l><l>&lt;</l></block></script><script><block s="doSetVar"><l>op1</l><l>≤</l></block></script></block><block s="doAddToList"><block s="reportNewList"><list><block var="leftEdge"/><block var="op1"/><block s="reportListItem"><l>3</l><block var="interval1"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block var="result"/></block></script><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval1"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="intersection"/></block><l>&lt;</l></list></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>4</l><block var="intersection"/></block><l>≤</l><l>≤</l><block s="reportListItem"><l>4</l><block var="intersection"/></block></list></block><block var="result"/></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="intersection"/></block><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="interval1"/></block><block s="reportListItem"><l>2</l><block var="interval1"/></block><l>&lt;</l><block s="reportListItem"><l>4</l><block var="interval1"/></block></list></block><block var="result"/></block></script><list></list></block><block s="doReplaceInList"><l>4</l><block var="result"/><custom-block s="merge intervals %l"><block s="reportListItem"><l>4</l><block var="result"/></block></custom-block></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="list of numbers %&apos;numbers&apos; $arrowRightOutline list of intervals" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block var="numbers"/><script><block s="doAddToList"><block s="reportNewList"><list><block var="item"/><l>≤</l><l>≤</l><block var="item"/></list></block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="difference of interval lists %&apos;intervals1&apos; and %&apos;intervals2&apos;" type="reporter" category="2. Math tools" helper="true"><comment x="0" y="0" w="120" collapsed="false">determines intervals1 \ intervals2</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>m</l><l>n</l><l>interval2</l><l>interval1</l><l>difference</l><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="intervals1"/><l>listOfIntervals</l></custom-block><custom-block s="is %s a %txt"><block var="intervals2"/><l>listOfIntervals</l></custom-block></list></block></block><script><block s="doReport"><l>ERROR: two interval lists required!</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="intervals1"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="intervals2"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block var="intervals1"/></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>m</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="m"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals2"/></block></list></block><script><block s="doSetVar"><l>interval2</l><block s="reportListItem"><block var="m"/><block var="intervals2"/></block></block><block s="doSetVar"><l>n</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals1"/></block></list></block><script><block s="doSetVar"><l>interval1</l><block s="reportListItem"><block var="n"/><block var="intervals1"/></block></block><block s="doSetVar"><l>difference</l><custom-block s="difference of interval %l and %l"><block var="interval1"/><block var="interval2"/></custom-block></block><block s="doForEach"><l>interval</l><block var="difference"/><script><block s="doAddToList"><block var="interval"/><block var="result"/></block></script></block><block s="doChangeVar"><l>n</l><l>1</l></block></script></block><block s="doChangeVar"><l>m</l><l>1</l></block></script></block><block s="doReport"><custom-block s="merge intervals %l"><block var="result"/></custom-block></block></script></block></script><scripts><script x="202.33333333333334" y="486.8888888888889"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><custom-block s="intersect intervals %l %l"><block var="interval1"/><block var="interval2"/></custom-block></block><l>0</l></list></block></script></scripts></block-definition><block-definition s="numbers in interval list %&apos;intervals&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="intervals"/><l>listOfIntervals</l></custom-block></block><script><block s="doReport"><l>ERROR: interval list required!</l></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>interval</l><block var="intervals"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="interval"/></block><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval"/></block><l>≤</l></list></block></list></block><script><block s="doAddToList"><block s="reportListItem"><l>1</l><block var="interval"/></block><block var="result"/></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="interval list %&apos;intervals&apos; $arrowRightThin predicate" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>result</l><l>predicate</l><l>i</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="intervals"/><l>listOfIntervals</l></custom-block></block><script><block s="doReport"><l>ERROR: interval list required!</l></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>interval</l><block var="intervals"/><script><block s="doAddToList"><custom-block s="interval %l $arrowRightThin predicate"><block var="interval"/></custom-block><block var="result"/></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>0</l></list></block><script><block s="doReport"><l></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>1</l></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="result"/></block></block></script><list></list></block><block s="doSetVar"><l>predicate</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>1</l><block var="result"/></block><block s="reportListItem"><l>2</l><block var="result"/></block></list></block></block><block s="doSetVar"><l>i</l><l>3</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block></list></block><script><block s="doSetVar"><l>predicate</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block var="predicate"/><block s="reportListItem"><block var="i"/><block var="result"/></block></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="predicate"/></block></script></block></script></block-definition><block-definition s="interval %&apos;interval&apos; $arrowRightThin predicate" type="predicate" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>p1</l><l>p2</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="interval"/><l>interval</l></custom-block></block><script><block s="doReport"><l>ERROR: interval required!</l></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="interval"/></block><l>&lt;</l></list></block><script><block s="doSetVar"><l>p1</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reportListItem"><l>1</l><block var="interval"/></block></list></block></block></script><script><block s="doSetVar"><l>p1</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reportListItem"><l>1</l><block var="interval"/></block></list></block></block></script></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="interval"/></block><l>&lt;</l></list></block><script><block s="doSetVar"><l>p2</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block><l></l><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block></block></script><script><block s="doSetVar"><l>p2</l><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><l></l><block s="reportListItem"><l>4</l><block var="interval"/></block></list></block></block></script></block><block s="doReport"><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block var="p1"/><block var="p2"/></list></block></block></script></block></script></block-definition><block-definition s="extract numbers from interval list %&apos;intervals&apos;" type="reporter" category="2. Math tools" helper="true"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>i</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="intervals"/><l>listOfIntervals</l></custom-block></block><script><block s="doReport"><l>ERROR: interval list required!</l></block></script><list></list></block><block s="doSetVar"><l>intervals</l><custom-block s="copy of %s"><block var="intervals"/></custom-block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="intervals"/></block></list></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="i"/><block var="intervals"/></block></block><block s="reportListItem"><l>4</l><block s="reportListItem"><block var="i"/><block var="intervals"/></block></block></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="i"/><block var="intervals"/></block></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block s="reportListItem"><block var="i"/><block var="intervals"/></block></block><l>≤</l></list></block></list></block><script><block s="doDeleteFromList"><block var="i"/><block var="intervals"/></block></script><script><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block><block s="doReport"><block var="intervals"/></block></script></block></script></block-definition><block-definition s="INFO &quot;Math tools&quot;" type="command" category="2. Math tools"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "Math tools"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks from different mathematical fields.&#xD;From linear algebra there are vectors and matrices that can be created in different ways. The properties of vectors, e.g. minimum, variance or standard deviation, can be determined directly.&#xD;With scalars, vectors, and matrices all arithmetic operations can be performed. With the help of matrices, mappings are realized or systems of equations are solved.&#xD;Complex numbers in Cartesian (cnC) or polar form (cnP) can also be calculated.&#xD;Vectors and complex numbers as well as figures defined by vectors are displayed on a MathPad in two or three dimensions. The MathPad can also show numerical sets.&#xD;From numerical mathematics come blocks for determining the roots of a function, series and series elements, and derivatives. Finite series and integrals are also calculated.&#xD;For frequency analyses, a block for the Fast Fourier Transformation (FFT) as well as its inverse serves. In addition, the frequency spectrum can be output.&#xD;For statistical purposes, blocks of the usual distribution functions are available.&#xD;Sets can be defined by an enumeration of elements, intervals or predicates. After that, blocks are available for all set operations.&#xD;If possible, sets are converted into interval lists. If this does not succeed, then the subset and the equality predicate are not determined in some cases.&#xD;There are some more hidden blocks for dealing with sets, e.g. to merge interval lists, to determine their intersection, to turn predicates into intervals, and so on.&#xD;You can find them in the list "export blocks" from the file menu.</l></custom-block></custom-block></script></block-definition><block-definition s="show global message title: %&apos;title&apos; $nl message: %&apos;message&apos;" type="command" category="looks"><comment x="0" y="0" w="171.99999999999997" collapsed="false">Shows the message with headline in the middle of the window.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">headline</input><input type="%txt">theMessage</input></inputs><script><block s="doWarp"><script><block s="doApplyExtension"><l>SciS_showmessage(title,message)</l><list><block var="title"/><block var="message"/></list></block></script></block></script></block-definition><block-definition s="vector %&apos;items&apos;" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="161.38461538461547" collapsed="false">Reports a vector, built by the items.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%n"></input></inputs><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="items"/><l>row-vector</l></custom-block><script><block s="doReport"><block var="items"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only numbers are allowed in vectors!</l><l>vector ...</l></custom-block></script></block></script></block-definition><block-definition s="random vector dim %&apos;n&apos; $nl range %&apos;min&apos; to %&apos;max&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="98.65934065934077" collapsed="false">Returns a new vector of dimension n with random elements.</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%n">1</input><input type="%n">10</input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportRandom"><block var="min"/><block var="max"/></block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></block></block></script></block-definition><block-definition s="matrix of vectors %&apos;vectors&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="114.67948717948764" collapsed="false">Returns a matrix formed from the input vectors.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%l"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>length</l><l>transposed?</l><l>transposed2?</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="vectors"/></block><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no vectors found!</l><l>matrix of vectors</l></custom-block></script><list></list></block><block s="doSetVar"><l>length</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="vectors"/></block></block></block><block s="doSetVar"><l>transposed?</l><custom-block s="is %s a %txt"><block s="reportListItem"><l>1</l><block var="vectors"/></block><l>column-vector</l></custom-block></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>vector</l><block var="vectors"/><script><block s="doSetVar"><l>transposed2?</l><custom-block s="is %s a %txt"><block var="vector"/><l>column-vector</l></custom-block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block var="transposed?"/><block s="reportNot"><block var="transposed2?"/></block></list></block><block s="reportVariadicAnd"><list><block s="reportNot"><block var="transposed?"/></block><block var="transposed2?"/></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: mixed row and clumn vectors are not allowed!</l><l>matrix of vectors</l></custom-block></script><script><block s="doIf"><block var="transposed2?"/><script><block s="doSetVar"><l>vector</l><custom-block s="transpose %s"><block var="vector"/></custom-block></block></script><list></list></block></script></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="vector"/></block><block var="length"/></list></block><script><block s="doAddToList"><block var="vector"/><block var="result"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different types of vectors!</l><l>matrix of vectors</l></custom-block></script></block></script></block><block s="doIf"><block var="transposed?"/><script><block s="doSetVar"><l>result</l><custom-block s="transpose %s"><block var="result"/></custom-block></block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="random %&apos;n&apos; x %&apos;m&apos; matrix $nl range %&apos;min&apos; to %&apos;max&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="129.76299579326923" collapsed="false">Returns a new nxm-matrix with random elements.</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%n">2</input><input type="%n">1</input><input type="%n">10</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="m"/><l>1</l></list></block></list></block><script><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doFor"><l>i</l><l>1</l><block var="m"/><script><block s="doAddToList"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportRandom"><block var="min"/><block var="max"/></block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="transpose %&apos;data&apos;" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="114.83909545553388" collapsed="false">Creates the transpose of a vector, matrix, or table.</comment><header></header><code></code><translations></translations><inputs><input type="%s">vector or matrix</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: vector or matrix required!</l><l>transpose vector or matrix</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block var="data"/></block></script><script><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>SciS_transpose(data)</l><list><block var="data"/></list></block></block><block s="doIf"><block s="reportIsA"><block var="result"/><l><option>text</option></l></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><block var="result"/><l>transpose vector or matrix</l></custom-block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; of %&apos;data&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="211.42857142857147" collapsed="false">Determines a property of a matrix or vector.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">min<options>min&#xD;max&#xD;minpos&#xD;maxpos&#xD;number&#xD;sum&#xD;mean&#xD;median&#xD;variance&#xD;standard-deviation&#xD;softmax</options></input><input type="%s">matrix or vector</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>mean</l><l>sum</l><l>isVector</l><l>dim</l><l>posX</l><l>posY</l><l>pos</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only lists supported!</l><l>... of matrix or vector</l></custom-block></script><list></list></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIfElse"><custom-block s="is %s a %txt"><block var="data"/><l>vector</l></custom-block><script><block s="doSetVar"><l>isVector</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doIf"><custom-block s="is %s a %txt"><block var="data"/><l>column-vector</l></custom-block><script><block s="doSetVar"><l>data</l><custom-block s="transpose %s"><block var="data"/></custom-block></block></script><list></list></block></script><script><block s="doSetVar"><l>isVector</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>1</l></list></block><script><block s="doSetVar"><l>dim</l><l>0</l></block></script><script><block s="doSetVar"><l>dim</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block></block></script></block><block s="doSetVar"><l>data</l><block s="reportListAttribute"><l><option>flatten</option></l><block var="data"/></block></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>softmax</l></list></block><script><block s="doIfElse"><block var="isVector"/><script><block s="doSetVar"><l>sum</l><block s="reportVariadicSum"><block s="reportMonadic"><l><option>e^</option></l><block var="data"/></block></block></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportMonadic"><l><option>e^</option></l><l></l></block><block var="sum"/></block></autolambda><list></list></block><block var="data"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: softmax is only defined for vectors!</l><l>... of matrix or vector</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>median</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportListAttribute"><l><option>sorted</option></l><block var="data"/></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportModulus"><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>2</l></block><l>1</l></list></block><script><block s="doReport"><block s="reportListItem"><block s="reportRound"><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>2</l></block></block><block var="result"/></block></block></script><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportListItem"><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>2</l></block><block var="result"/></block><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>2</l></block><l>1</l></list></block><block var="result"/></block></list></block><l>2</l></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>min</l></list></block><script><block s="doReport"><block s="reportVariadicMin"><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>max</l></list></block><script><block s="doReport"><block s="reportVariadicMax"><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>number</l></list></block><script><block s="doReport"><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>sum</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>mean</l></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicSum"><block var="data"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>minpos</l></list></block><script><block s="doIfElse"><block var="isVector"/><script><block s="doReport"><block s="reportListIndex"><block s="reportVariadicMin"><block var="data"/></block><block var="data"/></block></block></script><script><block s="doSetVar"><l>pos</l><block s="reportListIndex"><block s="reportVariadicMin"><block var="data"/></block><block var="data"/></block></block><block s="doSetVar"><l>posX</l><block s="reportModulus"><block var="pos"/><block var="dim"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="posX"/><l>0</l></list></block><script><block s="doSetVar"><l>posX</l><block var="dim"/></block></script><list></list></block><block s="doSetVar"><l>posY</l><l>1</l></block><block s="doUntil"><block s="reportVariadicLessThanOrEquals"><list><block var="pos"/><block var="dim"/></list></block><script><block s="doChangeVar"><l>pos</l><block s="reportMonadic"><l><option>neg</option></l><block var="dim"/></block></block><block s="doChangeVar"><l>posY</l><l>1</l></block></script></block><block s="doReport"><block s="reportNewList"><list><block var="posX"/><block var="posY"/></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>maxpos</l></list></block><script><block s="doIfElse"><block var="isVector"/><script><block s="doReport"><block s="reportListIndex"><block s="reportVariadicMax"><block var="data"/></block><block var="data"/></block></block></script><script><block s="doSetVar"><l>pos</l><block s="reportListIndex"><block s="reportVariadicMax"><block var="data"/></block><block var="data"/></block></block><block s="doSetVar"><l>posX</l><block s="reportModulus"><block var="pos"/><block var="dim"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="posX"/><l>0</l></list></block><script><block s="doSetVar"><l>posX</l><block var="dim"/></block></script><list></list></block><block s="doSetVar"><l>posY</l><l>1</l></block><block s="doUntil"><block s="reportVariadicLessThanOrEquals"><list><block var="pos"/><block var="dim"/></list></block><script><block s="doChangeVar"><l>pos</l><block s="reportMonadic"><l><option>neg</option></l><block var="dim"/></block></block><block s="doChangeVar"><l>posY</l><l>1</l></block><block s="doReport"><block s="reportNewList"><list><block var="posX"/><block var="posY"/></list></block></block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>variance</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>standard-deviation</l></list></block></list></block><script><block s="doSetVar"><l>mean</l><block s="reportQuotient"><block s="reportVariadicSum"><block var="data"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block></block><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>SciS_variance(data,mean)</l><list><block var="data"/><block var="mean"/></list></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>variance</l></list></block><script><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>standard-deviation</l></list></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block var="result"/><l>NaN</l></list></block><script><block s="doReport"><block s="reportMonadic"><l><option>sqrt</option></l><block var="result"/></block></block></script><script><block s="doReport"><l>NaN</l></block></script></block></script><list></list></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown option!</l><l>... of matrix or vector</l></custom-block></script></block></script></block-definition><block-definition s="linear operation %&apos;a&apos; %&apos;op&apos; %&apos;b&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="80.41758241758271" collapsed="false">Linear operations with scalars, vectors and matrices.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s" readonly="true">*<options>+&#xD;-&#xD;*&#xD;X</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>isAtransposed?</l><l>isBtransposed?</l><l>dimA</l><l>dimB</l><l>row</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>op</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="op"/><l> </l></block></block></block><block s="doIf"><block s="reportIsA"><block var="a"/><l><option>number</option></l></block><script><block s="doIf"><block s="reportIsA"><block var="b"/><l><option>number</option></l><comment w="119.45205479452062" collapsed="false">number number operation</comment></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>+</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block var="a"/><block var="b"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>-</l></list></block><script><block s="doReport"><block s="reportDifference"><block var="a"/><block var="b"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="a"/><block var="b"/></list></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between numbers!</l><l>linear operation</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>vector</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="a"/><block var="b"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between number and vector!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>matrix</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="a"/><block var="b"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between number and matrix!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation with a number!</l><l>linear operation</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="a"/><l>vector</l></custom-block><script><block s="doIf"><block s="reportIsA"><block var="b"/><l><option>number</option></l></block><script><block s="doReport"><custom-block s="linear operation %s %s %s"><block var="b"/><block var="op"/><block var="a"/></custom-block><comment w="125.59523809523816" collapsed="false">vector number operation.</comment></block></script><list></list></block><block s="doSetVar"><l>isAtransposed?</l><custom-block s="is %s a %txt"><block var="a"/><l>column-vector</l></custom-block></block><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>vector</l></custom-block><script><block s="doSetVar"><l>isBtransposed?</l><custom-block s="is %s a %txt"><block var="b"/><l>column-vector</l></custom-block></block><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="a"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different length of vectors!</l><l>linear operation</l></custom-block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>+</l></list></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block var="isAtransposed?"/><block var="isBtransposed?"/></list></block><block s="reportVariadicAnd"><list><block s="reportNot"><block var="isAtransposed?"/></block><block s="reportNot"><block var="isBtransposed?"/></block></list></block></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block var="a"/><block var="b"/></list></block></block></script><list><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different types of vectors!</l><l>linear operation</l></custom-block></script></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>-</l></list></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block var="isAtransposed?"/><block var="isBtransposed?"/></list></block><block s="reportVariadicAnd"><list><block s="reportNot"><block var="isAtransposed?"/></block><block s="reportNot"><block var="isBtransposed?"/></block></list></block></list></block><script><block s="doReport"><block s="reportDifference"><block var="a"/><block var="b"/></block></block></script><list><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different types of vectors!</l><l>linear operation</l></custom-block></script></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doIf"><block var="isAtransposed?"/><script><block s="doSetVar"><l>a</l><custom-block s="transpose %s"><block var="a"/></custom-block></block></script><list></list></block><block s="doIf"><block var="isBtransposed?"/><script><block s="doSetVar"><l>b</l><custom-block s="transpose %s"><block var="b"/></custom-block></block></script><list></list></block><block s="doReport"><block s="reportCombine"><block s="reportVariadicProduct"><list><block var="a"/><block var="b"/></list></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="op"/><l>X</l></list></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block var="isAtransposed?"/><block var="isBtransposed?"/></list></block><block s="reportVariadicAnd"><list><block s="reportNot"><block var="isAtransposed?"/></block><block s="reportNot"><block var="isBtransposed?"/></block></list></block></list></block><script><block s="doIf"><block var="isAtransposed?"/><script><block s="doSetVar"><l>a</l><custom-block s="transpose %s"><block var="a"/></custom-block></block></script><list></list></block><block s="doIf"><block var="isBtransposed?"/><script><block s="doSetVar"><l>b</l><custom-block s="transpose %s"><block var="b"/></custom-block></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="a"/></block><l>3</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block><l>3</l></list></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="a"/></block><block s="reportListItem"><l>3</l><block var="b"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="a"/></block><block s="reportListItem"><l>2</l><block var="b"/></block></list></block></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="a"/></block><block s="reportListItem"><l>1</l><block var="b"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="a"/></block><block s="reportListItem"><l>3</l><block var="b"/></block></list></block></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="a"/></block><block s="reportListItem"><l>2</l><block var="b"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="a"/></block><block s="reportListItem"><l>1</l><block var="b"/></block></list></block></block></list></block></block><block s="doIf"><block var="isAtransposed?"/><script><block s="doSetVar"><l>result</l><custom-block s="transpose %s"><block var="result"/></custom-block></block></script><list></list></block><block s="doReport"><block var="result"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong dimension of vectors!</l><l>linear operation</l></custom-block></script></block></script><list><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different types of vectors!</l><l>linear operation</l></custom-block></script></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong dimension of vectors!</l><l>linear operation</l></custom-block></script></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal vector operation!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>matrix</l></custom-block><script><block s="doIf"><custom-block s="is %s a %txt"><block var="a"/><l>column-vector</l></custom-block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: the vector should be a row vector!</l><l>linear operation</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="a"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block></list></block><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block></list></block><script><block s="doReport"><block s="reportCombine"><custom-block s="transpose %s"><block s="reportVariadicProduct"><list><block var="a"/><block s="reportListAttribute"><l><option>columns</option></l><block var="b"/></block></list></block></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between vector and matrix!</l><l>linear operation</l></custom-block></script></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation!</l><l>linear operation</l></custom-block></script><list></list><comment w="119.45205479452062" collapsed="false">vector matrix operation</comment></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation!</l><l>linear operation</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="a"/><l>matrix</l></custom-block><script><block s="doIf"><block s="reportIsA"><block var="b"/><l><option>number</option></l><comment w="119.45205479452062" collapsed="false">matrix number operation</comment></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doReport"><block s="reportVariadicProduct"><list><block var="a"/><block var="b"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between number and matrix!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>vector</l></custom-block><script><block s="doIf"><custom-block s="is %s a %txt"><block var="b"/><l>column-vector</l></custom-block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="a"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block></list></block><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block></list></block><script><block s="doReport"><block s="reportCombine"><custom-block s="transpose %s"><block s="reportVariadicProduct"><list><block var="a"/><custom-block s="transpose %s"><block var="b"/></custom-block></list></block></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between matrix and vector!</l><l>linear operation</l></custom-block></script></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation!</l><l>linear operation</l></custom-block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: the vector should be a column vector!</l><l>linear operation</l></custom-block></script><list></list><comment w="119.45205479452062" collapsed="false">matrix vector operation</comment></block><block s="doIfElse"><custom-block s="is %s a %txt"><block var="b"/><l>matrix</l><comment w="119.45205479452062" collapsed="false">matrix matrix operation</comment></custom-block><script><block s="doSetVar"><l>dimA</l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="a"/></block></block><block s="doSetVar"><l>dimB</l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="b"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>+</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="dimA"/><block var="dimB"/></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block var="a"/><block var="b"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different dimensions!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>-</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="dimA"/><block var="dimB"/></list></block><script><block s="doReport"><block s="reportDifference"><block var="a"/><block var="b"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: different dimensions!</l><l>linear operation</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="dimA"/></block><block s="reportListItem"><l>1</l><block var="dimB"/></block></list></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportCombine"><block s="reportListAttribute"><l><option>columns</option></l><block s="reportVariadicProduct"><list><block var="row"/><block s="reportListAttribute"><l><option>columns</option></l><block var="b"/></block></list></block></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></script><list><l>row</l></list></block><block var="a"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong dimensions!</l><l>linear operation</l></custom-block></script></block></script><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation between matrices</l><l>linear operation</l></custom-block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation</l><l>linear operation</l></custom-block></script></block></script></block-definition><block-definition s="apply %&apos;matrix&apos; to %&apos;points&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="179.4761904761905" collapsed="false">Applies a mapping matrix to an object that is given as a matrix of points.</comment><header></header><code></code><translations></translations><inputs><input type="%s">matrix</input><input type="%s">list of points</input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="points"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: object as matrix of points required!</l><l>apply ... to list of points</l></custom-block></script><script><block s="doIfElse"><block s="reportNot"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="points"/></block><l>0</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: at least one point required!</l><l>apply ... to list of points</l></custom-block></script><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="matrix"/><l>matrix</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="matrix"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="points"/></block></block></list></block><script><block s="doReport"><custom-block s="transpose %s"><custom-block s="linear operation %s %s %s"><block var="matrix"/><l>*</l><custom-block s="transpose %s"><block var="points"/></custom-block></custom-block></custom-block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong dimension of mapping matrix!</l><l>apply ... to list of points</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: mapping matrix required!</l><l>apply ... to list of points</l></custom-block></script></block></script></block></script></block></script></block></script></block-definition><block-definition s="solve %&apos;A&apos; *x= %&apos;b&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="219.04761904761926" collapsed="false">Solves a linear system of max. 50 equations.</comment><header></header><code></code><translations></translations><inputs><input type="%s">matrix</input><input type="%s">column vector</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>matrix</l><l>found</l><l>x</l><l>nonzero</l><l>help</l><l>solved</l><l>j</l><l>k</l><l>d</l><l>r</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="A"/><l>matrix</l></custom-block><comment w="137.85714285714286" collapsed="false">some tests for correct data</comment></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing matrix!</l><l>solve A*x=b</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="b"/><l>column-vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing column-vector!</l><l>solve A*x=b</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="A"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix is empty!</l><l>solve A*x=b</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="A"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block var="b"/></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong dimension of vector!</l><l>solve A*x=b</l></custom-block></script><list></list></block><block s="doSetVar"><l>b</l><custom-block s="transpose %s"><block var="b"/></custom-block></block><block s="doSetVar"><l>matrix</l><block s="reportMap"><block s="reifyReporter"><script></script><list></list></block><block var="A"/></block><comment w="191.5707465277778" collapsed="false">create matrix with attached column b</comment></block><block s="doSetVar"><l>solved</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="A"/></block><l>50</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix too large!</l><l>solve A*x=b</l></custom-block></script><list></list></block><custom-block s="add %s %s to %s"><l>column</l><block var="b"/><block var="A"/><comment w="191.5707465277778" collapsed="false">create matrix with attached column b</comment></custom-block><block s="doSetVar"><l>d</l><block s="reportListAttribute"><l><option>length</option></l><block var="matrix"/></block><comment w="106.71245659722217" collapsed="false">Try to solve matrix</comment></block><block s="doSetVar"><l>r</l><l>1</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="r"/><block var="d"/></list></block><block s="reportNot"><block var="solved"/></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>nonzero</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block><comment w="137.82649739583348" collapsed="false">find nonzero element</comment></block><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block var="found"/><block s="reportVariadicGreaterThan"><list><block var="nonzero"/><block var="d"/></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="nonzero"/><block var="matrix"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doChangeVar"><l>nonzero</l><l>1</l></block></script></block></script></block><block s="doIfElse"><block s="reportNot"><block var="found"/></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no solution found!</l><l>solve A*x=b</l></custom-block></script><script><block s="doSetVar"><l>matrix</l><block s="reportMap"><block s="reifyReporter"><script><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block var="row"/></block></block><block s="doReplaceInList"><block var="r"/><block var="row"/><block s="reportListItem"><block var="nonzero"/><block var="row"/></block></block><block s="doReplaceInList"><block var="nonzero"/><block var="row"/><block var="help"/></block><block s="doReport"><block var="row"/></block></script><list><l>row</l></list></block><block var="matrix"/></block><comment w="90" collapsed="false">swap rows</comment></block></script></block></script><list></list></block><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><comment w="90" collapsed="false">normalize row</comment></block><block s="doReplaceInList"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block><l>1</l></block><block s="doSetVar"><l>k</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block s="reportVariadicSum"><list><block var="d"/><l>1</l></list></block></list></block><script><block s="doReplaceInList"><block var="k"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block><block s="reportQuotient"><block s="reportListItem"><block var="k"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><block var="help"/></block></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doSetVar"><l>k</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block var="d"/></list></block><script><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="k"/><block var="r"/></list></block><script><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block></block></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="help"/><l>0</l></list></block><script><block s="doReplaceInList"><block var="r"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block><l>0</l></block><block s="doSetVar"><l>j</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="j"/><block s="reportVariadicSum"><list><block var="d"/><l>1</l></list></block></list></block><script><block s="doReplaceInList"><block var="j"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block><block s="reportDifference"><block s="reportListItem"><block var="j"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block></block><block s="reportVariadicProduct"><list><block var="help"/><block s="reportListItem"><block var="j"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block></list></block></block></block><block s="doChangeVar"><l>j</l><l>1</l></block></script></block></script><list></list></block></script><list></list></block><block s="doChangeVar"><l>k</l><l>1</l></block></script><comment w="90" collapsed="false">diagonalize</comment></block><block s="doChangeVar"><l>r</l><l>1</l></block></script></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportListItem"><l><option>last</option></l><l/></block></block></script><list></list></block><block var="matrix"/></block></block></script></block></script></block-definition><block-definition s="apply Gauss method to %&apos;A&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="228.14285714285742" collapsed="false">Reports a list of matrix A in triangle form, the rank of A, column change and column positions.</comment><header></header><code></code><translations></translations><inputs><input type="%s">matrix</input></inputs><script><block s="doDeclareVariables"><list><l>Ab</l><l>rank</l><l>row</l><l>found</l><l>help</l><l>i</l><l>c</l><l>columchange</l><l>column positions</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="A"/><l>matrix</l></custom-block><comment w="137.85714285714286" collapsed="false">some tests for correct data</comment></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: this is not a matrix!</l><l>aooly Gauss method ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="A"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix is empty!</l><l>aooly Gauss method ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>Ab</l><block s="reportMap"><block s="reifyReporter"><script></script><list></list></block><block var="A"/></block><comment w="186.6028794642858" collapsed="false">a copy of A is used to let A unchanged</comment></block><block s="doSetVar"><l>rank</l><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block></block><block s="doSetVar"><l>row</l><l>1</l></block><block s="doSetVar"><l>columchange</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>column positions</l><block s="reportNumbers"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="Ab"/></block></block></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="row"/><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block></list></block><block s="reportVariadicLessThan"><list><block var="rank"/><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block></list></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></block><l>0</l></list><comment w="155" collapsed="false">find a non zero pivot element</comment></block><script><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>i</l><block s="reportVariadicSum"><list><block var="row"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block></list></block><block var="found"/></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="i"/><block var="Ab"/></block></block><l>0</l></list></block></block><script><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="i"/><block var="Ab"/></block></block><block s="doReplaceInList"><block var="i"/><block var="Ab"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></block><block s="doReplaceInList"><block var="row"/><block var="Ab"/><block var="help"/></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script><comment w="90" collapsed="false">search downwards</comment></block><block s="doIf"><block s="reportNot"><block var="found"/></block><script><block s="doSetVar"><l>i</l><block s="reportVariadicSum"><list><block var="row"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="Ab"/></block></block><l>1</l></block></list></block><block var="found"/></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="i"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></block><l>0</l></list></block></block><script><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doFor"><l>column</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block><script><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="i"/><block s="reportListItem"><block var="column"/><block var="Ab"/></block></block></block><block s="doReplaceInList"><block var="i"/><block s="reportListItem"><block var="column"/><block var="Ab"/></block><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="column"/><block var="Ab"/></block></block></block><block s="doReplaceInList"><block var="row"/><block s="reportListItem"><block var="column"/><block var="Ab"/></block><block var="help"/></block><block s="doSetVar"><l>columchange</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="row"/><block var="column positions"/></block></block><block s="doReplaceInList"><block var="row"/><block var="column positions"/><block s="reportListItem"><block var="i"/><block var="column positions"/></block></block><block s="doReplaceInList"><block var="i"/><block var="column positions"/><block var="help"/></block></script></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script><comment w="90" collapsed="false">search to the right</comment></block></script><list></list></block></script><list></list></block><block s="doSetVar"><l>c</l><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></block></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="c"/><l>0</l></list></block></block><script><block s="doReplaceInList"><block var="row"/><block var="Ab"/><block s="reportQuotient"><block s="reportListItem"><block var="row"/><block var="Ab"/></block><block var="c"/></block></block><block s="doSetVar"><l>i</l><block s="reportVariadicSum"><list><block var="row"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="Ab"/></block></list></block><script><block s="doSetVar"><l>c</l><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="i"/><block var="Ab"/></block></block></block><block s="doReplaceInList"><block var="i"/><block var="Ab"/><block s="reportDifference"><block s="reportListItem"><block var="i"/><block var="Ab"/></block><block s="reportVariadicProduct"><list><block var="c"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></list></block></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><script><block s="doSetVar"><l>rank</l><block s="reportDifference"><block var="row"/><l>1</l></block></block></script></block><block s="doChangeVar"><l>row</l><l>1</l></block></script></block><block s="doSetVar"><l>row</l><block var="rank"/></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block var="row"/><l>1</l></list></block><script><block s="doSetVar"><l>i</l><block s="reportDifference"><block var="row"/><l>1</l></block></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block var="i"/><l>1</l></list></block><script><block s="doSetVar"><l>c</l><block s="reportListItem"><block var="row"/><block s="reportListItem"><block var="i"/><block var="Ab"/></block></block></block><block s="doReplaceInList"><block var="i"/><block var="Ab"/><block s="reportDifference"><block s="reportListItem"><block var="i"/><block var="Ab"/></block><block s="reportVariadicProduct"><list><block var="c"/><block s="reportListItem"><block var="row"/><block var="Ab"/></block></list></block></block></block><block s="doChangeVar"><l>i</l><l>-1</l></block></script></block><block s="doChangeVar"><l>row</l><l>-1</l></block></script><comment w="137.85714285714286" collapsed="false">transform to diagonal form E</comment></block><block s="doReport"><block s="reportNewList"><list><block var="Ab"/><block var="rank"/><block var="columchange"/><block var="column positions"/></list></block></block></script></block></script></block-definition><block-definition s="polynomial interpolation for %&apos;data&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="139.41454664057406" collapsed="false">Calculates the coefficients of the interpolation polynomial for a 2xn-matrix of points.</comment><header></header><code></code><translations></translations><inputs><input type="%s">list of points</input></inputs><script><block s="doDeclareVariables"><list><l>matrix</l><l>found</l><l>x</l><l>row</l><l>help</l><l>n</l><l>solved</l><l>j</l><l>k</l><l>d</l><l>r</l><l>nonzero</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix required!</l><l>polynomial interpolation for ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: not enough points!</l><l>polynomial interpolation for ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>2</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 2-dimensional points required!</l><l>polynomial interpolation for ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>matrix</l><block s="reportNewList"><list></list></block><comment w="191.5707465277778" collapsed="false">create matrix of powers of x and y-value</comment></block><block s="doSetVar"><l>solved</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>50</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: too many points!</l><l>polynomial interpolation for ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>data</l><block s="reportListAttribute"><l><option>sorted</option></l><block var="data"/></block></block><block s="doFor"><l>i</l><l>1</l><block var="n"/><script><block s="doSetVar"><l>row</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>j</l><block s="reportDifference"><block var="n"/><l>1</l></block></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block var="j"/><l>0</l></list></block><script><block s="doSetVar"><l>x</l><l>1</l></block><block s="doSetVar"><l>k</l><block var="j"/></block><block s="doUntil"><block s="reportVariadicLessThanOrEquals"><list><block var="k"/><l>0</l></list></block><script><block s="doSetVar"><l>x</l><block s="reportVariadicProduct"><list><block var="x"/><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block></list></block></block><block s="doChangeVar"><l>k</l><l>-1</l></block></script></block><block s="doAddToList"><block var="x"/><block var="row"/></block><block s="doChangeVar"><l>j</l><l>-1</l></block></script></block><block s="doAddToList"><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="row"/></block><block s="doAddToList"><block var="row"/><block var="matrix"/></block></script></block><block s="doSetVar"><l>d</l><block s="reportListAttribute"><l><option>length</option></l><block var="matrix"/></block><comment w="106.71245659722217" collapsed="false">Try to solve matrix</comment></block><block s="doSetVar"><l>r</l><l>1</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="r"/><block var="d"/></list></block><block s="reportNot"><block var="solved"/></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>nonzero</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block><comment w="137.82649739583348" collapsed="false">find nonzero element</comment></block><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block var="found"/><block s="reportVariadicGreaterThan"><list><block var="nonzero"/><block var="d"/></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="nonzero"/><block var="matrix"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>found</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doChangeVar"><l>nonzero</l><l>1</l></block></script></block></script></block><block s="doIfElse"><block s="reportNot"><block var="found"/></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no solution found!</l><l>polynomial interpolation for ...</l></custom-block></script><script><block s="doSetVar"><l>matrix</l><block s="reportMap"><block s="reifyReporter"><script><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block var="row"/></block></block><block s="doReplaceInList"><block var="r"/><block var="row"/><block s="reportListItem"><block var="nonzero"/><block var="row"/></block></block><block s="doReplaceInList"><block var="nonzero"/><block var="row"/><block var="help"/></block><block s="doReport"><block var="row"/></block></script><list><l>row</l></list></block><block var="matrix"/></block><comment w="90" collapsed="false">swap rows</comment></block></script></block></script><list></list></block><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><comment w="90" collapsed="false">normalize row</comment></block><block s="doReplaceInList"><block var="r"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block><l>1</l></block><block s="doSetVar"><l>k</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block s="reportVariadicSum"><list><block var="d"/><l>1</l></list></block></list></block><script><block s="doReplaceInList"><block var="k"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block><block s="reportQuotient"><block s="reportListItem"><block var="k"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block><block var="help"/></block></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doSetVar"><l>k</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block var="d"/></list></block><script><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="k"/><block var="r"/></list></block><script><block s="doSetVar"><l>help</l><block s="reportListItem"><block var="r"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block></block></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="help"/><l>0</l></list></block><script><block s="doReplaceInList"><block var="r"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block><l>0</l></block><block s="doSetVar"><l>j</l><block s="reportVariadicSum"><list><block var="r"/><l>1</l></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="j"/><block s="reportVariadicSum"><list><block var="d"/><l>1</l></list></block></list></block><script><block s="doReplaceInList"><block var="j"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block><block s="reportDifference"><block s="reportListItem"><block var="j"/><block s="reportListItem"><block var="k"/><block var="matrix"/></block></block><block s="reportVariadicProduct"><list><block var="help"/><block s="reportListItem"><block var="j"/><block s="reportListItem"><block var="r"/><block var="matrix"/></block></block></list></block></block></block><block s="doChangeVar"><l>j</l><l>1</l></block></script></block></script><list></list></block></script><list></list></block><block s="doChangeVar"><l>k</l><l>1</l></block></script><comment w="90" collapsed="false">diagonaize</comment></block><block s="doChangeVar"><l>r</l><l>1</l></block></script></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportListItem"><l><option>last</option></l><l/></block></block></script><list></list></block><block var="matrix"/></block></block></script></block></script></block-definition><block-definition s="%&apos;p&apos; ( %&apos;x&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="124.41780821917837" collapsed="false">Calculates the value of a polynomial for input x.</comment><header></header><code></code><translations></translations><inputs><input type="%s">polynomial as list of coefficients</input><input type="%n">1</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>grade</l><l>result</l><l>i</l></list></block><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="p"/><l>row-vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no polynomial found!</l><l>polynomial(x)=...</l></custom-block></script><script><block s="doSetVar"><l>grade</l><block s="reportListAttribute"><l><option>length</option></l><block var="p"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="grade"/><l>0</l></list></block><script><block s="doReport"><l>0</l></block></script><list></list></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="grade"/><l>1</l></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="p"/></block></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="p"/></block><block var="x"/></list></block><block s="reportListItem"><l>2</l><block var="p"/></block></list></block></block><block s="doSetVar"><l>i</l><l>3</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="grade"/></list></block><script><block s="doSetVar"><l>result</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="result"/><block var="x"/></list></block><block s="reportListItem"><block var="i"/><block var="p"/></block></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="affine transformation of %&apos;data&apos; $nl by %&apos;originalPoints&apos; --&gt; %&apos;targetPoints&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="96.94142127403848" collapsed="false">Applies an affine transformation to a list of points.&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%s">list of points</input><input type="%s">3 original points</input><input type="%s">3 target points</input></inputs><script><block s="doDeclareVariables"><list><l>a11</l><l>a12</l><l>a13</l><l>a21</l><l>a22</l><l>a23</l><l>S</l><l>P1</l><l>P2</l><l>P3</l><l>Q1</l><l>Q2</l><l>Q3</l><l>ok</l><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: at least one point required!</l><l>affine transformation of ...</l></custom-block></script><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>2</l></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimension should be 2!</l><l>affine transformation of ...</l></custom-block></script><list></list></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of points as data required!</l><l>affine transformation of ...</l></custom-block></script></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doIfElse"><block s="reportIsA"><block var="originalPoints"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="originalPoints"/></block><l>3</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 3 original points required!</l><l>affine transformation of ...</l></custom-block></script><script><block s="doFor"><l>i</l><l>1</l><l>3</l><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><block var="i"/><block var="originalPoints"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="originalPoints"/></block></block><l>2</l></list></block></list></block></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of original points  required!</l><l>affine transformation of ...</l></custom-block></script></block><block s="doIfElse"><block s="reportIsA"><block var="targetPoints"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="targetPoints"/></block><l>3</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 3 target points required!</l><l>affine transformation of ...</l></custom-block></script><script><block s="doFor"><l>i</l><l>1</l><l>3</l><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><block var="i"/><block var="targetPoints"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="targetPoints"/></block></block><l>2</l></list></block></list></block></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of target points  required!</l><l>affine transformation of ...</l></custom-block></script></block><block s="doIf"><block s="reportNot"><block var="ok"/></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimensions should be 2!</l><l>affine transformation of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>P1</l><block s="reportListItem"><l>1</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>P2</l><block s="reportListItem"><l>2</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>P3</l><block s="reportListItem"><l>3</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>Q1</l><block s="reportListItem"><l>1</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>Q2</l><block s="reportListItem"><l>2</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>Q3</l><block s="reportListItem"><l>3</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>S</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="P2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="P3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="P1"/></block></block></list></block></list></block></list></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="S"/><l>0</l></list></block></block><script><block s="doSetVar"><l>a11</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q2"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q3"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q1"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a12</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q3"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q1"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q2"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a21</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q2"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q3"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q1"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a22</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q3"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q1"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q2"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a13</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></list></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></list></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></list></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a23</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></list></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></list></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></list></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="a11"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="a12"/></list></block></list></block><block var="a13"/></list></block><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="a21"/></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="i"/><block var="data"/></block></block><block var="a22"/></list></block></list></block><block var="a23"/></list></block></list></block><block var="result"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: denominator is zero</l><l>affine transformation of ...</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;re&apos; + %&apos;im&apos; * i" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="122.28571428571438" collapsed="false">Reports a complex number in Cartesian form.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">3</input></inputs><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block var="re"/><block var="im"/></list></block></block></script></block-definition><block-definition s="%&apos;r&apos; * e^i %&apos;phi&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="106.42857142857126" collapsed="false">Reports a complex number in polar form.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">30</input></inputs><script><block s="doReport"><block s="reportNewList"><list><l>cnP</l><block var="r"/><block var="phi"/></list></block></block></script></block-definition><block-definition s="%&apos;z&apos; $arrowRightThin %&apos;selection&apos; - form" type="reporter" category="2. Math tools"><comment x="0" y="0" w="130.71428571428555" collapsed="false">Reports a complex number in polar or Cartesian form.</comment><header></header><code></code><translations></translations><inputs><input type="%s">complex number</input><input type="%txt" readonly="true">polar<options>polar&#xD;Cartesian</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>polar</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-polar-form</l></custom-block><script><block s="doReport"><block var="z"/></block></script><script><block s="doReport"><block s="reportNewList"><list><l>cnP</l><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportListItem"><l>2</l><block var="z"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z"/></block><block s="reportListItem"><l>3</l><block var="z"/></block></list></block></list></block></block><block s="reportMonadic"><l><option>atan</option></l><block s="reportQuotient"><block s="reportListItem"><l>3</l><block var="z"/></block><block s="reportListItem"><l>2</l><block var="z"/></block></block></block></list></block></block></script></block></script><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-Cartesian-form</l></custom-block><script><block s="doReport"><block var="z"/></block></script><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block></list></block></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: complex number expected!</l><l>complex number --&gt; complex number</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; of a %&apos;z&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="191.42857142857125" collapsed="false">Reports properties of complex numbers.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">real-part<options>absolute-value&#xD;real-part&#xD;imaginary-part&#xD;phase&#xD;conjugate</options></input><input type="%s">complex number</input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number</l></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>absolute-value</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-polar-form</l></custom-block><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="z"/></block></block></script><script><block s="doReport"><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportListItem"><l>2</l><block var="z"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z"/></block><block s="reportListItem"><l>3</l><block var="z"/></block></list></block></list></block></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>real-part</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-Cartesian-form</l></custom-block><script><block s="doReport"><block s="reportListItem"><l>2</l><block var="z"/></block></block></script><script><block s="doReport"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>imaginary-part</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-Cartesian-form</l></custom-block><script><block s="doReport"><block s="reportListItem"><l>3</l><block var="z"/></block></block></script><script><block s="doReport"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>phase</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-polar-form</l></custom-block><script><block s="doReport"><block s="reportListItem"><l>3</l><block var="z"/></block></block></script><script><block s="doReport"><block s="reportMonadic"><l><option>atan</option></l><block s="reportQuotient"><block s="reportListItem"><l>3</l><block var="z"/></block><block s="reportListItem"><l>2</l><block var="z"/></block></block></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>conjugate</l></list></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="z"/><l>complex-number-polar-form</l></custom-block><script><block s="doReport"><block s="reportNewList"><list><l>cnP</l><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>neg</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportListItem"><l>2</l><block var="z"/></block><block s="reportMonadic"><l><option>neg</option></l><block s="reportListItem"><l>3</l><block var="z"/></block></block></list></block></block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown operator!</l><l>... of complex number</l></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: complex number expected!</l><l>... of complex number</l></custom-block></script></block></script></block></script></block-definition><block-definition s="complex operation %&apos;z1&apos; %&apos;op&apos; %&apos;z2&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="240" collapsed="false">Reports arithmetic results of two complex numbers.</comment><header></header><code></code><translations></translations><inputs><input type="%s">z1</input><input type="%s" readonly="true">+<options>+&#xD;-&#xD;*&#xD;/</options></input><input type="%s">z2</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>denominator</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="z1"/><l>complex-number</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: first argument is not a complex number</l><l>complex operation ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="z2"/><l>complex-number</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second argument is not a complex number</l><l>complex operation ...</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="z1"/><l>complex-number-polar-form</l></custom-block><script><block s="doSetVar"><l>z1</l><block s="reportNewList"><list><l>cnC</l><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>3</l><block var="z1"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>3</l><block var="z1"/></block></block></list></block></list></block></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="z2"/><l>complex-number-polar-form</l></custom-block><script><block s="doSetVar"><l>z2</l><block s="reportNewList"><list><l>cnC</l><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z2"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>3</l><block var="z2"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z2"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>3</l><block var="z2"/></block></block></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>+</l></list></block><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>-</l></list></block><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></block><block s="reportDifference"><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>*</l></list></block><script><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>/</l></list></block><script><block s="doSetVar"><l>denominator</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z2"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z2"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block></list></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="denominator"/><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: denominator is zero!</l><l>complex operation ...</l></custom-block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><l>cnC</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block></list></block><block var="denominator"/></block><block s="reportQuotient"><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>3</l><block var="z1"/></block><block s="reportListItem"><l>2</l><block var="z2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="z1"/></block><block s="reportListItem"><l>3</l><block var="z2"/></block></list></block></block><block var="denominator"/></block></list></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a MathPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="2. Math tools" space="true"><comment x="0" y="0" w="142.5" collapsed="false">Creates a new  empty costume of the specified size and color and sets local properties</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%txt" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><block var="color"/><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>MathPad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfData</l><l>unknown</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>onlyPoints</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>withGrid?</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>dimensions</l><l>3</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xMin</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xMax</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yMin</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yMax</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>zMin</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>zMax</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>startPoint</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_MathpadAddAxes(costume,properties)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></list></block></script></block></script><scripts><comment x="491.5000000000003" y="85.16666666666666" w="181.49372863769622" collapsed="false">costume attributes and line attributes same as SketchPad:&#xD;&#xD;other attributes:&#xD;- draw only ponts, not arrows&#xD;- dimension of coordinate system&#xD;- max. value on scales&#xD;- start point of arrows</comment></scripts></block-definition><block-definition s="new dictionary" type="reporter" category="lists" space="true"><comment x="0" y="0" w="140.66666666666666" collapsed="false">Reports an empty dictionary.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportNewList"><list><block s="reportNewList"><list><l>key</l><l>value</l></list></block></list></block></block></script></block-definition><block-definition s="%&apos;color&apos; as %&apos;colortype&apos;" type="reporter" category="pen"><comment x="0" y="0" w="192.952380952381" collapsed="false">Reports an RGB-value specified by name, number, tree or four values, or list. Default value is gray.</comment><header></header><code></code><translations></translations><inputs><input type="%s">gray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%txt" readonly="true">RGB-value<options>RGB-value&#xD;RGBA-value</options></input></inputs><script><block s="doDeclareVariables"><list><l>colors</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>colors</l><block s="reportNewList"><list><block s="reportNewList"><list><l>black</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportNewList"><list><l>red</l><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block></list></block><block s="reportNewList"><list><l>green</l><block s="reportNewList"><list><l>0</l><l>255</l><l>0</l></list></block></list></block><block s="reportNewList"><list><l>blue</l><block s="reportNewList"><list><l>0</l><l>0</l><l>255</l></list></block></list></block><block s="reportNewList"><list><l>gray</l><block s="reportNewList"><list><l>180</l><l>180</l><l>180</l></list></block></list></block><block s="reportNewList"><list><l>orange</l><block s="reportNewList"><list><l>255</l><l>165</l><l>0</l></list></block></list></block><block s="reportNewList"><list><l>cyan</l><block s="reportNewList"><list><l>0</l><l>255</l><l>255</l></list></block></list></block><block s="reportNewList"><list><l>magenta</l><block s="reportNewList"><list><l>255</l><l>0</l><l>255</l></list></block></list></block><block s="reportNewList"><list><l>yellow</l><block s="reportNewList"><list><l>255</l><l>255</l><l>0</l></list></block></list></block><block s="reportNewList"><list><l>white</l><block s="reportNewList"><list><l>255</l><l>255</l><l>255</l></list></block></list></block><block s="reportNewList"><list><l>lightGray</l><block s="reportNewList"><list><l>230</l><l>230</l><l>230</l></list></block></list></block></list></block></block><block s="doIf"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doIf"><custom-block s="is %s a %txt"><block var="color"/><l>vector</l></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>3</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="colortype"/><l>RGB-value</l></list></block><script><block s="doReport"><block var="color"/></block></script><script><block s="doReport"><block s="reportConcatenatedLists"><list><block var="color"/><block s="reportNewList"><list><l>255</l></list></block></list></block></block></script></block></script><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>4</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="colortype"/><l>RGB-value</l></list></block><script><block s="doReport"><custom-block s="subsection of %s in %s from %br %s %s to %s %s"><l>list-data</l><block s="reportNewList"><list><l>1</l><l>2</l><l>3</l><l>4</l></list></block><l>1</l><l>1</l><l>3</l><l>1</l></custom-block></block></script><script><block s="doReport"><block var="color"/></block></script></block></script><l><bool>true</bool></l><script><block s="doReport"><custom-block s="%s as %txt"><l>gray</l><block var="colortype"/></custom-block></block></script></list></block></script><list><l><bool>true</bool></l><script><block s="doReport"><custom-block s="%s as %txt"><l>gray</l><block var="colortype"/></custom-block></block></script></list></block></script><list><block s="reportIsA"><block var="color"/><l><option>number</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportListItem"><block var="color"/><block var="colors"/></block></block><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doReport"><custom-block s="%s as %txt"><block s="reportListItem"><l>2</l><block var="color"/></block><block var="colortype"/></custom-block></block></script><script><block s="doReport"><custom-block s="%s as %txt"><l>gray</l><block var="colortype"/></custom-block></block></script></block></script><block s="reportIsA"><block var="color"/><l><option>text</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportListItem"><block var="color"/><block var="colors"/></block></block><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doReport"><custom-block s="%s as %txt"><block var="color"/><block var="colortype"/></custom-block></block></script><script><block s="doReport"><custom-block s="%s as %txt"><l>gray</l><block var="colortype"/></custom-block></block></script></block></script><l><bool>true</bool></l><script><block s="doReport"><custom-block s="%s as %txt"><l>gray</l><block var="colortype"/></custom-block></block></script></list></block></script></block></script></block-definition><block-definition s="new costume size: %&apos;width&apos; %&apos;height&apos; %&apos;color&apos;" type="reporter" category="looks" space="true"><comment x="0" y="0" w="126.4531901041667" collapsed="false">Returns an empty costume of the given width and height with background color given as text or list.</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%s" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>color</l><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_newcostume(w,h,color)</l><list><block var="width"/><block var="height"/><block var="color"/></list></block></block></script></block></script></block-definition><block-definition s="is variable %&apos;varname&apos; in the scope of %&apos;sprite&apos; ?" type="predicate" category="variables"><comment x="0" y="0" w="118.6666666666668" collapsed="false">Reports true if the varname is part of the scope of the sprite. the varname is not used case-sensitive!</comment><header></header><code></code><translations></translations><inputs><input type="%s">varname</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite or stage required!</l><l>thisBlock</l></custom-block></script><list></list></block><block s="doReport"><block s="reportListContainsItem"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>var_names(scope)</l><list><l></l></list></block></autolambda><list></list></block><list><l>sprite</l></list></block><block var="varname"/></block></block></script></block></script></block-definition><block-definition s="set MathPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="2. Math tools"><comment x="0" y="0" w="105.83333333333333" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">dimensions<options>typeOfConfiguration&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;MathPad properties={&#xD;type of data=typeOfData&#xD;draw only points, not arrows=onlyPoints&#xD;dimensions&#xD;max value on scales=maxValue&#xD;min value on scales=minValue&#xD;start point for arrows=startPoint&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as MathPad!</l><l>set MathPadProperty</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Missing variable "myProperties"!</l><l>set MathPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="MathPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="86.11904761904775" collapsed="false">Returns the value of a property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">dimensions<options>typeOfConfiguration&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;MathPad properties={&#xD;type of data=typeOfData&#xD;draw only points, not arrows=onlyPoints&#xD;dimensions&#xD;max value on scales=maxValue&#xD;min value on scales=minValue&#xD;start point for arrows=startPoint&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as MathPad!</l><l>MathPadProperty ...</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>MathPadProperty ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set MathPad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; offsets: %&apos;leftOffset&apos; %&apos;upperOffset&apos; $nl with close-button %&apos;closeButton&apos; left? %&apos;left?&apos; size %&apos;size&apos; on %&apos;sprite&apos;" type="command" category="2. Math tools"><comment x="0" y="0" w="124.32706197102944" collapsed="false">a simple way to set some costume attributes:&#xD;1: width&#xD;2: height&#xD;3: back color red&#xD;4: back color green&#xD;5: back color blue&#xD;6: left offset for MathPad&#xD;    position on stage&#xD;7: upper offset for MathPad&#xD;    position on stage&#xD;8: close-button properties</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%n">0</input><input type="%n">0</input><input type="%b">true</input><input type="%b">false</input><input type="%n">15</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as MathPad!</l><l>set MathPad costume properties</l></custom-block></script><list></list></block><custom-block s="configure %s as a MathPad width: %n height: %n %br color: %txt with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block><block var="closeButton"/><block var="left?"/><block var="size"/></custom-block><block s="doReplaceInList"><l>offsets</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></block></script></block></script></block-definition><block-definition s="set MathPad properties lineWidth: %&apos;lineWidth&apos; onlyPoints? %&apos;onlyPoints&apos; grid? %&apos;withGrid?&apos; $nl dimension: %&apos;dimensions&apos; xMin: %&apos;xMin&apos; xMax: %&apos;xMax&apos; yMin: %&apos;yMin&apos; yMax: %&apos;yMax&apos; $nl zMin: %&apos;zMin&apos; zMax: %&apos;zMax&apos; startPoint: %&apos;x&apos; %&apos;y&apos; %&apos;z&apos; on %&apos;sprite&apos;" type="command" category="2. Math tools"><comment x="0" y="0" w="160.99372863769568" collapsed="false">a simple way to set some MathPad attributes:&#xD;1: line width&#xD;2: draw only ponts, not arrows&#xD;3: dimension of coordinate system&#xD;4: max. value on scales&#xD;5: start point of arrows</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%b">false</input><input type="%b"></input><input type="%n">3</input><input type="%n">-10</input><input type="%n">10</input><input type="%n">-10</input><input type="%n">10</input><input type="%n">-10</input><input type="%n">10</input><input type="%n">0</input><input type="%n">0</input><input type="%n">0</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>oldDimensions</l><l>oldXmax</l><l>oldXmin</l><l>oldYmin</l><l>oldYmax</l><l>oldZmin</l><l>oldZmax</l><l>oldWithGrid?</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as MathPad!</l><l>set MathPad properties</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="xMin"/><block var="xMax"/></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block var="yMin"/><block var="yMax"/></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block var="zMin"/><block var="zMax"/></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Irregular ranges!</l><l>set MathPad properties</l></custom-block></script><list></list></block><block s="doSetVar"><l>oldDimensions</l><block s="reportListItem"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldXmax</l><block s="reportListItem"><l>xMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldXmin</l><block s="reportListItem"><l>xMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldYmax</l><block s="reportListItem"><l>yMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldYmin</l><block s="reportListItem"><l>yMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldZmin</l><block s="reportListItem"><l>zMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldZmax</l><block s="reportListItem"><l>zMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doSetVar"><l>oldWithGrid?</l><block s="reportListItem"><l>withGrid?</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block><block s="doReplaceInList"><l>lineWidth</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="lineWidth"/></block><block s="doReplaceInList"><l>onlyPoints</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="onlyPoints"/></block><block s="doReplaceInList"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="dimensions"/></block><block s="doReplaceInList"><l>xMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="xMin"/></block><block s="doReplaceInList"><l>xMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="xMax"/></block><block s="doReplaceInList"><l>yMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="yMin"/></block><block s="doReplaceInList"><l>yMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="yMax"/></block><block s="doReplaceInList"><l>zMin</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="zMin"/></block><block s="doReplaceInList"><l>zMax</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="zMax"/></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="dimensions"/><l>3</l></list></block><script><block s="doReplaceInList"><l>startPoint</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportNewList"><list><block var="x"/><block var="y"/><block var="z"/></list></block></block></script><list><block s="reportVariadicEquals"><list><block var="dimensions"/><l>2</l></list></block><script><block s="doReplaceInList"><l>startPoint</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script><block s="reportVariadicNotEquals"><list><block var="dimensions"/><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Irregular dimension!</l><l>set MathPad properties</l></custom-block></script></list></block><block s="doReplaceInList"><l>withGrid?</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="withGrid?"/></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicNotEquals"><list><block var="oldDimensions"/><block var="dimensions"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldXmax"/><block var="xMax"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldXmin"/><block var="xMin"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldYmax"/><block var="yMax"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldYmin"/><block var="yMin"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldZmin"/><block var="zMin"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldZmax"/><block var="zMax"/></list></block><block s="reportVariadicNotEquals"><list><block var="oldWithGrid?"/><block var="withGrid?"/></list></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><custom-block s="MathPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="MathPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="MathPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_MathpadAddAxes(costume,properties)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="plot %&apos;choice&apos; %&apos;data&apos; color: %&apos;color&apos; on MathPad %&apos;sprite&apos; $nl Change startpoint? %&apos;changeStartpoint&apos;" type="command" category="2. Math tools"><comment x="0" y="0" w="164.4999999999994" collapsed="false">Draws a vector, complex number, or object of points from the start point stored in the properties.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">vector<options>vector&#xD;complex-number&#xD;line-to&#xD;object-of</options></input><input type="%l"></input><input type="%s" readonly="true">black<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as MathPad!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Data are required as list!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><custom-block s="set MathPadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><block var="choice"/></custom-block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>object-of</l></list></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>1</l></list></block><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>At least two points necessary!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong dimension!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_MathPadPlot(costume,data,color,properties,choice)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block var="data"/><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="choice"/></list></block></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>complex-number</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>cnC</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>cnP</l></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Complex number required!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><l>2</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong dimension!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>cnP</l></list></block><script><block s="doSetVar"><l>data</l><block s="reportNewList"><list><l>cnC</l><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="data"/></block><block s="reportMonadic"><l><option>cos</option></l><block s="reportListItem"><l>3</l><block var="data"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="data"/></block><block s="reportMonadic"><l><option>sin</option></l><block s="reportListItem"><l>3</l><block var="data"/></block></block></list></block></list></block></block></script><list></list></block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><block s="reportListItem"><l>2</l><block var="data"/></block><block s="reportListItem"><l>3</l><block var="data"/></block></list></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_MathPadPlot(costume,data,color,properties,choice)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block var="data"/><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="choice"/></list></block></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_MathpadAddAxes(costume,properties)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>vector</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>line-to</l></list></block></list></block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Vector required!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong dimension!</l><l>plot ... on MathPad</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is %s a %txt"><block var="data"/><l>column-vector</l></custom-block><script><block s="doSetVar"><l>data</l><custom-block s="transpose %s"><block var="data"/></custom-block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_MathPadPlot(costume,data,color,properties,choice)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block var="data"/><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="choice"/></list></block></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block var="changeStartpoint"/><block s="reportVariadicNotEquals"><list><block var="choice"/><l>object-of</l></list></block></list></block><script><block s="doReplaceInList"><l>startPoint</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="data"/></block></script><list></list></block></script></block></script></block-definition><block-definition s="plot set %&apos;set&apos; setname: %&apos;setname&apos; $nl color: %&apos;color&apos; linewidth: %&apos;linewidth&apos; level(1..5): %&apos;level&apos; on MathPad %&apos;sprite&apos; $nl" type="command" category="2. Math tools"><comment x="0" y="0" w="124.49999999999937" collapsed="false">Draws members of a set.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%txt">set1</input><input type="%s" readonly="true">black<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%n">1</input><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>width</l><l>height</l><l>properties</l><l>dl</l><l>x</l><l>xmin</l><l>xmax</l><l>x0</l><l>leftOffset</l><l>upperOffset</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>MathPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as MathPad!</l><l>plot set</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Set required!</l><l>plot set</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>dimensions</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><l>1</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Dimension should be "1"!</l><l>plot set</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportListContainsItem"><block s="reportNumbers"><l>1</l><l>5</l></block><block var="level"/></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong level!</l><l>plot set</l></custom-block></script><list></list></block><block s="doSetVar"><l>properties</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doSetVar"><l>width</l><block s="reportListItem"><l>width</l><block var="properties"/></block></block><block s="doSetVar"><l>height</l><block s="reportListItem"><l>height</l><block var="properties"/></block></block><block s="doSetVar"><l>xmin</l><block s="reportListItem"><l>xMin</l><block var="properties"/></block></block><block s="doSetVar"><l>xmax</l><block s="reportListItem"><l>xMax</l><block var="properties"/></block></block><block s="doSetVar"><l>leftOffset</l><block s="reportListItem"><l>1</l><block s="reportListItem"><l>offsets</l><block var="properties"/></block></block></block><block s="doSetVar"><l>upperOffset</l><block s="reportListItem"><l>2</l><block s="reportListItem"><l>offsets</l><block var="properties"/></block></block></block><block s="doSetVar"><l>dl</l><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportDifference"><block var="height"/><l>30</l></block><l>5</l></block></block></block><block s="doSetVar"><l>level</l><block s="reportVariadicSum"><list><l>30</l><block s="reportVariadicProduct"><list><block var="dl"/><block var="level"/></list></block></list></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>neg</option></l><block var="xmin"/></block><block var="width"/></list></block><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block></block></block><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportIsA"><l></l><l><option>number</option></l></block></autolambda><list></list></block><block var="color"/></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>3</l></list></block><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>255</l><l>0</l><l>2</l></list></block></block></script><list></list></block></script><script><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>text</option></l></block><script><block s="doSetVar"><l>color</l><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="color"/><l></l></list></block><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>255</l><l>0</l><l>230</l></list></block></block></script><list></list></block></script><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>255</l><l>0</l><l>230</l></list></block></block></script></block></script></block><custom-block s="set MathPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><block var="color"/></custom-block><custom-block s="set MathPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><block var="linewidth"/></custom-block><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_MathPadPlotSet(set,setname,properties,atY,costume)</l><list><block var="set"/><block var="setname"/><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportVariadicSum"><list><block s="reportDifference"><block var="height"/><block var="level"/></block><block var="upperOffset"/><l>20</l></list></block><custom-block s="costume of %s"><block var="target"/></custom-block></list></block></block></script></block></script></block-definition><block-definition s="MathPad Example: vektor addition" type="command" category="2. Math tools" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as a MathPad width: %n height: %n %br color: %txt with close-button %b left? %b size: %n"><l>theStage</l><l>400</l><l>300</l><l>lightGray</l><l><bool>true</bool></l><l><bool>true</bool></l><l>15</l></custom-block><custom-block s="plot %s %l color: %s on MathPad %txt %br Change startpoint? %b"><l>vector</l><custom-block s="linear operation %s %s %s"><custom-block s="vector %mult%n"><list><l>3</l><l>4</l><l>0</l></list></custom-block><l>+</l><custom-block s="vector %mult%n"><list><l>-5</l><l>0</l><l>4</l></list></custom-block></custom-block><l>red</l><l>theStage</l><l><bool>false</bool></l></custom-block><custom-block s="plot %s %l color: %s on MathPad %txt %br Change startpoint? %b"><l>vector</l><custom-block s="vector %mult%n"><list><l>3</l><l>4</l><l>0</l></list></custom-block><l>green</l><l>theStage</l><l><bool>true</bool></l></custom-block><custom-block s="plot %s %l color: %s on MathPad %txt %br Change startpoint? %b"><l>vector</l><custom-block s="vector %mult%n"><list><l>-5</l><l>0</l><l>4</l></list></custom-block><l>blue</l><l>theStage</l><l><bool>false</bool></l></custom-block></script></block-definition><block-definition s="MathPad Example: affine transformation" type="command" category="2. Math tools"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>triangle</l><l>image</l><l>sourcePoints</l><l>targetPoints</l></list></block><block s="doSetVar"><l>triangle</l><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>8</l><l>1</l></list></block><block s="reportNewList"><list><l>2</l><l>5</l></list></block></list></block></block><block s="doSetVar"><l>sourcePoints</l><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>1</l></list></block><block s="reportNewList"><list><l>1</l><l>0</l></list></block></list></block></block><block s="doSetVar"><l>targetPoints</l><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l></list></block><block s="reportNewList"><list><l>0</l><l>-1</l></list></block><block s="reportNewList"><list><l>-1</l><l>0</l></list></block></list></block></block><custom-block s="configure %s as a MathPad width: %n height: %n %br color: %txt with close-button %b left? %b size: %n"><l>thisSprite</l><l>500</l><l>400</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set MathPad properties lineWidth: %n onlyPoints? %b grid? %b %br dimension: %n xMin: %n xMax: %n yMin: %n yMax: %n %br zMin: %n zMax: %n startPoint: %n %n %n on %txt"><l>1</l><l><bool>false</bool></l><l><bool>true</bool></l><l>2</l><l>-10</l><l>10</l><l>-10</l><l>10</l><l>-10</l><l>10</l><l>0</l><l>0</l><l>0</l><l>thisSprite</l></custom-block><custom-block s="plot %s %l color: %s on MathPad %txt %br Change startpoint? %b"><l>object-of</l><block var="triangle"/><l>red</l><l>thisSprite</l><l><bool>false</bool></l></custom-block><block s="doSetVar"><l>image</l><custom-block s="affine transformation of %s %br by %s --&gt; %s"><block var="triangle"/><block var="sourcePoints"/><block var="targetPoints"/></custom-block></block><custom-block s="plot %s %l color: %s on MathPad %txt %br Change startpoint? %b"><l>object-of</l><block var="image"/><l>blue</l><l>thisSprite</l><l><bool>false</bool></l></custom-block></script></block-definition><block-definition s="MathPad Example: set operations" type="command" category="2. Math tools"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>set1</l><l>set2</l></list></block><block s="doSetVar"><l>set1</l><custom-block s="set of {x| %repRing }"><block s="reifyReporter"><autolambda><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><l></l><l>-5</l></list></block><block s="reportVariadicLessThan"><list><l></l><l>7</l></list></block></list></block></autolambda><list></list></block></custom-block></block><block s="doSetVar"><l>set2</l><custom-block s="set of {x| %repRing }"><block s="reifyReporter"><autolambda><block s="reportVariadicEquals"><list><block s="reportModulus"><l></l><l>2</l></block><l>0</l></list></block></autolambda><list></list></block></custom-block></block><custom-block s="configure %s as a MathPad width: %n height: %n %br color: %txt with close-button %b left? %b size: %n"><l>thisSprite</l><l>600</l><l>300</l><l>lightGray</l><l><bool>true</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set MathPad properties lineWidth: %n onlyPoints? %b grid? %b %br dimension: %n xMin: %n xMax: %n yMin: %n yMax: %n %br zMin: %n zMax: %n startPoint: %n %n %n on %txt"><l>1</l><l><bool>false</bool></l><l><bool>true</bool></l><l>1</l><l>-20</l><l>20</l><l>-10</l><l>10</l><l>-10</l><l>10</l><l>0</l><l>0</l><l>0</l><l>thisSprite</l></custom-block><custom-block s="plot set %l setname: %txt %br color: %s linewidth: %n level(1..5): %n on MathPad %txt %br"><block var="set1"/><l>set1: (x&gt;-5)&amp;&amp;(x&lt;7)</l><l>red</l><l>1</l><l>4</l><l>thisSprite</l></custom-block><custom-block s="plot set %l setname: %txt %br color: %s linewidth: %n level(1..5): %n on MathPad %txt %br"><block var="set2"/><l>set2: even numbers</l><l>red</l><l>2</l><l>3</l><l>thisSprite</l></custom-block><custom-block s="plot set %l setname: %txt %br color: %s linewidth: %n level(1..5): %n on MathPad %txt %br"><custom-block s="%s %s %s"><block var="set1"/><l>∩</l><block var="set2"/></custom-block><l>se1 ∩ set2</l><l>red</l><l>2</l><l>2</l><l>thisSprite</l></custom-block><custom-block s="plot set %l setname: %txt %br color: %s linewidth: %n level(1..5): %n on MathPad %txt %br"><custom-block s="%s %s %s"><block var="set1"/><l>∪</l><block var="set2"/></custom-block><l>se1 ∪ set2</l><l>red</l><l>1</l><l>1</l><l>thisSprite</l></custom-block></script></block-definition><block-definition s="rename costume %&apos;costume&apos; to %&apos;newName&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Changes the name of a costume.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a costume</input><input type="%txt">new costume name</input></inputs><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><block s="reportIsA"><block var="newName"/><l><option>text</option></l></block></list></block><script><block s="doApplyExtension"><l>SciS_renameCostume(costume,newName)</l><list><block var="costume"/><block var="newName"/></list></block></script><list><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: costume required!</l><l>rename costume</l></custom-block></script></list></block></script></block-definition><block-definition s="add key %&apos;key&apos; value %&apos;value&apos; to dictionary %&apos;dictionary&apos;" type="command" category="lists"><comment x="0" y="0" w="79.33333333333333" collapsed="false">Adds or replaces an entry in a dictionary.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="dictionary"/><l>dictionary</l></custom-block><script><block s="doIfElse"><block s="reportIsA"><block var="key"/><l><option>number</option></l></block><script><block s="doIfElse"><block s="reportListContainsItem"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>false</bool></l></custom-block><block var="key"/></block><script><block s="doReplaceInList"><block s="reportListIndex"><block var="key"/><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>true</bool></l></custom-block></block><block var="dictionary"/><block s="reportNewList"><list><block var="key"/><block var="value"/></list></block></block></script><script><block s="doAddToList"><block s="reportNewList"><list><block var="key"/><block var="value"/></list></block><block var="dictionary"/></block></script></block></script><script><block s="doReplaceInList"><block var="key"/><block var="dictionary"/><block var="value"/></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dictionary required!</l><l>add key/value to dictionary</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set %&apos;varname&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="variables"><comment x="0" y="0" w="94.66666666666667" collapsed="false">Sets a local variable of a sprite to the specified value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">varname</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s">anyValue</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSetVar"><l></l><l></l></block></script><list></list></block><list><block var="varname"/><block var="value"/></list></block></script></block></script></block-definition><block-definition s="get %&apos;varname&apos; of sprite %&apos;spritename&apos;" type="reporter" category="variables"><comment x="0" y="0" w="90" collapsed="false">Reports the value of a local variable.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">varname</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="spritename"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="spritename"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="spritename"/></block></block></block></block><block s="doIf"><custom-block s="is variable %s in the scope of %s ?"><block var="varname"/><block var="target"/></custom-block><script><block s="doReport"><block s="reportAttributeOf"><block var="varname"/><block var="target"/></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: variable don&apos;t exist.</l><l>get ... of sprite</l></custom-block></script></block></script></block-definition><block-definition s="value of key %&apos;key&apos; in dictionary %&apos;dictionary&apos;" type="reporter" category="lists"><comment x="0" y="0" w="95.33333333333333" collapsed="false">Reports the value assigned to the key.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="dictionary"/><l>dictionary</l></custom-block><script><block s="doIfElse"><block s="reportIsA"><block var="key"/><l><option>number</option></l></block><script><block s="doIfElse"><block s="reportListContainsItem"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>false</bool></l></custom-block><block var="key"/></block><script><block s="doReport"><block s="reportListItem"><l>2</l><block s="reportListItem"><block s="reportListIndex"><block var="key"/><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>true</bool></l></custom-block></block><block var="dictionary"/></block></block></block></script><script><block s="doReport"><l></l></block></script></block></script><script><block s="doReport"><block s="reportListItem"><block var="key"/><block var="dictionary"/></block></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dictionary required!</l><l>value of key in dictionary</l></custom-block></script></block></script></block></script></block-definition><block-definition s="replace value of key %&apos;key&apos; in dictionary %&apos;dictionary&apos; with %&apos;new value&apos;" type="command" category="lists"><comment x="0" y="0" w="90" collapsed="false">Replaces the value assigned to the key with a new value.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="dictionary"/><l>dictionary</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><custom-block s="value of key %s in dictionary %l"><block var="key"/><block var="dictionary"/></custom-block><l></l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown key!</l><l>replace value in dictionary</l></custom-block></script><script><custom-block s="add key %s value %s to dictionary %l"><block var="key"/><block var="new value"/><block var="dictionary"/></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dictionary required!</l><l>add key/value to dictionary</l></custom-block></script></block></script></block></script></block-definition><block-definition s="remove entry of key %&apos;key&apos; in dictionary %&apos;dictionary&apos;" type="command" category="lists"><comment x="0" y="0" w="90" collapsed="false">Removes the entry of a key.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="dictionary"/><l>dictionary</l></custom-block><script><block s="doIfElse"><block s="reportIsA"><block var="key"/><l><option>number</option></l></block><script><block s="doIf"><block s="reportListContainsItem"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>false</bool></l></custom-block><block var="key"/></block><script><block s="doDeleteFromList"><block s="reportListIndex"><block var="key"/><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="dictionary"/><l><bool>true</bool></l></custom-block></block><block var="dictionary"/></block></script><list></list></block></script><script><block s="doDeleteFromList"><block var="key"/><block var="dictionary"/></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dictionary required!</l><l>remove entry in dictionary</l></custom-block></script></block></script></block></script></block-definition><block-definition s="read dictionary from JSON file" type="reporter" category="lists"><comment x="0" y="0" w="98" collapsed="false">Reports the content of a selected file.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><custom-block s="read %s -file with filepicker"><l>JSON</l></custom-block></block></script></block-definition><block-definition s="write dictionary %&apos;dictionary&apos; to JSON file %&apos;filename&apos;" type="command" category="lists"><comment x="0" y="0" w="90" collapsed="false">Stores a dictionary as a JSON file.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s">filename<options>filename&#xD;filepicker</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="dictionary"/><l>dictionary</l></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="filename"/><l>filepicker</l></list></block><script><block s="doSetVar"><l>filename</l><block s="reportListItem"><l>1</l><custom-block s="select %s with filepicker"><l>file</l></custom-block></block></block></script><list></list></block><custom-block s="write %s to %s -file %txt"><block var="dictionary"/><l>JSON</l><block var="filename"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dictionary required!</l><l>write dictionary</l></custom-block></script></block></script></block></script></block-definition><block-definition s="copy of costume %&apos;theCostume&apos;" type="reporter" category="looks"><comment x="0" y="0" w="143.66666666666657" collapsed="false">Reports a copy of a costume.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a costume</input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="theCostume"/><l><option>costume</option></l></block><script><block s="doReport"><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="theCostume"/></block><block s="reportGetImageAttribute"><l><option>width</option></l><block var="theCostume"/></block><block s="reportGetImageAttribute"><l><option>height</option></l><block var="theCostume"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: costume required!</l><l>copy of costume</l></custom-block></script></block></script></block-definition><block-definition s="costume of %&apos;sprite&apos;" type="reporter" category="looks"><comment x="0" y="0" w="154.1666666666665" collapsed="false">Reports the costume of a sprite or the stage.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>costume</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite or stage required!</l><l>costume of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>costume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doIfElse"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><script><block s="doReport"><block var="costume"/></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="costume"/><l>0</l></list></block><script><block s="doReport"><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><l>white</l></custom-block></block></script><list></list></block><block s="doReport"><block var="costume"/></block></script></block></script></block-definition><block-definition s="show %&apos;aList&apos; as dialog" type="command" category="looks" space="true"><comment x="0" y="0" w="172.76888020833348" collapsed="false">Displays a list in a dialog window.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doApplyExtension"><l>SciS_showAsDialog(theList)</l><list><block var="aList"/></list></block></script></block-definition><block-definition s="close all open dialog windows" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">This command closes all open dialog windows in a brutal way. ;-)</comment><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="safely try %cs then if %upvar %cs"><script><block s="doSwitchToScene"><l><option>next</option></l><list></list></block></script><l>error</l><script></script></custom-block></script></block-definition><block-definition s="layer" type="reporter" category="looks" space="true"><comment x="0" y="0" w="90" collapsed="false">Reports the current layer of a sprite.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_layer()</l><list></list></block></block></script></block-definition><block-definition s="set layer to %&apos;n&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Sets the layer of a sprite.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">0</input></inputs><script><block s="doWarp"><script><block s="goToLayer"><l><option>back</option></l></block><block s="goBack"><block s="reportMonadic"><l><option>neg</option></l><block var="n"/></block></block></script></block></script></block-definition><block-definition s="set cursor %&apos;which&apos;" type="command" category="looks" space="true"><comment x="0" y="0" w="214.0712239583334" collapsed="false">Selects the specified costume for the cursor.</comment><header></header><code></code><translations></translations><inputs><input type="%s">pointer<options>auto&#xD;cell&#xD;copy&#xD;crosshair&#xD;default&#xD;grab&#xD;grabbing&#xD;help&#xD;move&#xD;not-allowed&#xD;pointer&#xD;progress&#xD;text&#xD;wait&#xD;zoom-in&#xD;zoom-out&#xD;n-resize&#xD;s-resize&#xD;e-resize&#xD;w-resize&#xD;ne-resize&#xD;se-resize&#xD;nw-resize&#xD;sw-resize</options></input></inputs><script><block s="doApplyExtension"><l>SciS_setCursor(cur,proc)</l><list><block var="which"/><l></l></list><comment w="183.8461538461538" collapsed="false">Many thanks to helicoptur on the Snap! user forum!</comment></block></script></block-definition><block-definition s="is %&apos;data&apos; a %&apos;choice&apos;" type="predicate" category="operators"><comment x="0" y="0" w="212.35029354207427" collapsed="false">Test on vector, matrix, table, predicate, interval, list of intervals, set, dictionary or complex-number.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%txt" readonly="true">vector<options>vector&#xD;row-vector&#xD;column-vector&#xD;matrix&#xD;table&#xD;dictionary&#xD;complex-number&#xD;complex-number-Cartesian-form&#xD;complex-number-polar-form&#xD;set&#xD;comparisonOperator&#xD;interval&#xD;listOfIntervals&#xD;numericalList</options></input></inputs><script><block s="doDeclareVariables"><list><l>width</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>comparisonOperator</l></list></block><script><block s="doReport"><block s="reportListContainsItem"><block s="reportNewList"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThanOrEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l></l></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block></list></block><block var="data"/></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>vector</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doIf"><custom-block s="is %s a %txt"><block var="data"/><l>row-vector</l></custom-block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doReport"><custom-block s="is %s a %txt"><block var="data"/><l>column-vector</l></custom-block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row-vector</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_isType(data,selection)</l><list><block var="data"/><l>row-vector</l></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column-vector</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_isType(data,selection)</l><list><block var="data"/><l>column-vector</l></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>matrix</l></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_isType(data,selection)</l><list><block var="data"/><l>matrix</l></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>table</l></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="data"/><block s="reportNewList"><list></list></block></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_isType(data,selection)</l><list><block var="data"/><l>table</l></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>dictionary</l></list></block><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 s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><block s="reportNewList"><list><l>key</l><l>value</l></list></block></list></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="data"/><l>table</l></custom-block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>2</l></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>interval</l></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>4</l></list></block><script><block s="doReport"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>4</l><block var="data"/></block><l><option>number</option></l></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><block s="reportListItem"><l>4</l><block var="data"/></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="data"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="data"/></block><l>&lt;</l></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="data"/></block><l>≤</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>3</l><block var="data"/></block><l>&lt;</l></list></block></list></block></list></block></block></script><list></list></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>complex-number</l></list></block><script><block s="doReport"><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="data"/><l>complex-number-Cartesian-form</l></custom-block><custom-block s="is %s a %txt"><block var="data"/><l>complex-number-polar-form</l></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>complex-number-Cartesian-form</l></list></block><script><block s="doReport"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>3</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>cnC</l></list></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="data"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="data"/></block><l><option>number</option></l></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>complex-number-polar-form</l></list></block><script><block s="doReport"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>3</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>cnP</l></list></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="data"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="data"/></block><l><option>number</option></l></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>listOfIntervals</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><script><block s="doForEach"><l>item</l><block var="data"/><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="item"/><l>interval</l></custom-block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>set</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="data"/></block><l>set</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>5</l></list></block></list></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="data"/></block><l><option>Boolean</option></l></block><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="data"/></block><l><option>list</option></l></block><custom-block s="is %s a %txt"><block s="reportListItem"><l>4</l><block var="data"/></block><l>listOfIntervals</l></custom-block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>5</l><block var="data"/></block><l></l></list></block><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="data"/></block><l><option>predicate</option></l></block></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>numericalList</l></list></block><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 s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportIsA"><l></l><l><option>number</option></l></block></block></autolambda><list></list></block><block var="data"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block-definition><block-definition s="random" type="reporter" category="operators" space="true"><comment x="0" y="0" w="88.99989905108039" collapsed="false">Returns a random number between 0 and 1.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportRandom"><l>0.0000000000000000000001</l><l>1</l></block></block></script></block-definition><block-definition s="𝝅" type="reporter" category="operators"><comment x="0" y="0" w="65.33333333333333" collapsed="false">Reports Pi.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><l>3.141592653589793</l></block></script></block-definition><block-definition s="e" type="reporter" category="operators"><comment x="0" y="0" w="122.33333333333326" collapsed="false">Reports Euler&apos;s number.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportMonadic"><l><option>e^</option></l><l>1</l></block></block></script></block-definition><block-definition s="%&apos;n&apos; !" type="reporter" category="operators"><comment x="0" y="0" w="106.66666666666667" collapsed="false">The factorial function.</comment><header></header><code></code><translations></translations><inputs><input type="%n"></input></inputs><script><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="n"/><l>0</l></list></block><l>1</l><block s="reportVariadicProduct"><list><block var="n"/><custom-block s="%n !"><block s="reportDifference"><block var="n"/><l>1</l></block></custom-block></list></block></block></block></script></block-definition><block-definition s="( %&apos;n&apos; ) $nl ( %&apos;k&apos; )" type="reporter" category="operators"><comment x="0" y="0" w="93.3589743589743" collapsed="false">Reports a binomial coefficient.</comment><header></header><code></code><translations></translations><inputs><input type="%n">5</input><input type="%n">3</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportVariadicProduct"><list><l>2</l><block var="k"/></list></block><block var="n"/></list></block><script><block s="doSetVar"><l>k</l><block s="reportDifference"><block var="n"/><block var="k"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="k"/><l>1</l></list></block><script><block s="doReport"><l>1</l></block></script><list></list></block><block s="doSetVar"><l>result</l><l>1</l></block><block s="doSetVar"><l>n</l><block s="reportVariadicSum"><list><block var="n"/><l>1</l></list></block></block><block s="doFor"><l>i</l><l>1</l><block var="k"/><script><block s="doSetVar"><l>result</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="result"/><block s="reportDifference"><block var="n"/><block var="i"/></block></list></block><block var="i"/></block></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="round %&apos;x&apos; to %&apos;n&apos; digits" type="reporter" category="operators"><comment x="0" y="0" w="127.00000000000003" collapsed="false">Rounds value x to n digits.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1.2357</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>basis</l><l>absval</l><l>expon</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>absval</l><block s="reportMonadic"><l><option>abs</option></l><block var="x"/></block></block><block s="doSetVar"><l>basis</l><block s="reportMonadic"><l><option>10^</option></l><block s="reportVariadicProduct"><list><l>-1</l><block var="n"/></list></block></block></block><block s="doSetVar"><l>expon</l><block s="reportRound"><block s="reportMonadic"><l><option>log</option></l><block var="absval"/></block></block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="absval"/><block var="basis"/></list></block><script><block s="doSetVar"><l>basis</l><block s="reportMonadic"><l><option>10^</option></l><block var="expon"/></block></block><block s="doReport"><block s="reportJoinWords"><list><block s="reportQuotient"><block s="reportRound"><block s="reportVariadicProduct"><list><block s="reportQuotient"><block var="x"/><block var="basis"/></block><block s="reportMonadic"><l><option>10^</option></l><block var="n"/></block></list></block></block><block s="reportMonadic"><l><option>10^</option></l><block var="n"/></block></block><l>e</l><block var="expon"/></list></block></block></script><script><block s="doReport"><block s="reportQuotient"><block s="reportRound"><block s="reportVariadicProduct"><list><block var="x"/><block s="reportMonadic"><l><option>10^</option></l><block var="n"/></block></list></block></block><block s="reportMonadic"><l><option>10^</option></l><block var="n"/></block></block></block></script></block></script></block></script></block-definition><block-definition s="replace %&apos;choice&apos; %&apos;substring&apos; with %&apos;replacement&apos; in %&apos;aString&apos;" type="reporter" category="operators" space="true"><comment x="0" y="0" w="99.8076923076923" collapsed="false">Reports a string with replacement instead of substring.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">all<options>all&#xD;first</options></input><input type="%txt">this</input><input type="%txt">that</input><input type="%txt">thisString</input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_stringOperations(operation,params)</l><list><l>replace</l><block s="reportNewList"><list><block var="choice"/><block var="substring"/><block var="replacement"/><block var="aString"/></list></block></list></block></block></script></block-definition><block-definition s="index of %&apos;substring&apos; in %&apos;aString&apos;" type="reporter" category="operators"><comment x="0" y="0" w="119.2307692307692" collapsed="false">Reports the index of first appearance of substring in string.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">ring</input><input type="%txt">thisString</input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>txt_indexof(sub, txt)</l><list><block var="substring"/><block var="aString"/></list></block></block></script></block-definition><block-definition s="root of %&apos;term&apos; $nl starting at %&apos;x0&apos; by Newton´s method" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="117.50000000000014" collapsed="false">Returns a root of an equation calculated with Newton&apos;s method.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing">ringified term</input><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>epsilon</l><l>i</l><l>f</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>root of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>epsilon</l><l>0.00001</l></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doIfElse"><block s="reportIsA"><block s="evaluate"><block var="term"/><list><block var="x0"/></list></block><l><option>number</option></l></block><script><block s="doSetVar"><l>f</l><block s="evaluate"><block var="term"/><list><block var="x0"/></list></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><l>1000</l></list></block><block s="reportVariadicLessThan"><list><block s="reportMonadic"><l><option>abs</option></l><block var="f"/></block><block s="reportVariadicProduct"><list><block var="epsilon"/><block var="epsilon"/></list></block></list></block></list></block><script><block s="doChangeVar"><l>x0</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="f"/><block var="epsilon"/></list></block><block s="reportDifference"><block var="f"/><block s="evaluate"><block var="term"/><list><block s="reportVariadicSum"><list><block var="x0"/><block var="epsilon"/></list></block></list></block></block></block></block><block s="doIfElse"><block s="reportIsA"><block s="evaluate"><block var="term"/><list><block var="x0"/></list></block><l><option>number</option></l></block><script><block s="doSetVar"><l>f</l><block s="evaluate"><block var="term"/><list><block var="x0"/></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: function not defined for this value</l><l>root of ...</l></custom-block></script></block></script></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><l>1000</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no root found!</l><l>root of ...</l></custom-block></script><script><block s="doReport"><block var="x0"/></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: function not defined for this value</l><l>root of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="sequence element %&apos;term&apos; ( %&apos;n&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="92.66666666666667" collapsed="false">Reports an element of a sequence.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing">ringified term</input><input type="%n">1</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>sequence element ...</l></custom-block></script><list></list></block><block s="doReport"><block s="evaluate"><block var="term"/><list><block var="n"/></list></block></block></script></block></script></block-definition><block-definition s="first %&apos;n&apos; elements of sequence %&apos;term&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="123.33333333333334" collapsed="false">Returns a list of the first n elements of a sequence.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%repRing">ringified term</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>first n elements of sequence...</l></custom-block></script><list></list></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="evaluate"><block var="term"/><list><l></l></list></block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></block></block></script></block></script></block-definition><block-definition s="sequence of secant slopes for %&apos;term&apos; $nl at %&apos;x0&apos; calculated with sequence %&apos;sequence&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="164.33333333333331" collapsed="false">Returns a list of secant slopes calculated with the given sequence.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing">ringified term</input><input type="%n">2</input><input type="%s">1/n</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>sequence of secant slopes</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sequence"/><l>1/n</l></list></block><script><block s="doSetVar"><l>sequence</l><custom-block s="first %n elements of sequence %repRing"><l>100</l><block s="reifyReporter"><autolambda><block s="reportQuotient"><l>1</l><l></l></block></autolambda><list></list></block></custom-block></block></script><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="sequence"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of sequence elements required!</l><l>sequence of secant slopes</l></custom-block></script><list></list></block></script></block><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><block s="reportDifference"><block s="evaluate"><block var="term"/><list><block s="reportVariadicSum"><list><block var="x0"/><block var="element"/></list></block></list></block><block s="evaluate"><block var="term"/><list><block var="x0"/></list></block></block><block var="element"/></block></autolambda><list><l>element</l></list></block><block var="sequence"/></block></block></script></block></script></block-definition><block-definition s="derivative %&apos;term&apos; ´( %&apos;x&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="126.49999999999999" collapsed="false">Reports the secant slope &quot;nearby&quot; the given point.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing">ringified term</input><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>epsilon</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>derivative ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>epsilon</l><l>0.00001</l></block><block s="doReport"><block s="reportQuotient"><block s="reportDifference"><block s="evaluate"><block var="term"/><list><block s="reportVariadicSum"><list><block var="x"/><block var="epsilon"/></list></block></list></block><block s="evaluate"><block var="term"/><list><block var="x"/></list></block></block><block var="epsilon"/></block></block></script></block></script></block-definition><block-definition s="%&apos;n&apos; $nl ∑ %&apos;term&apos; $nl %&apos;i&apos; = %&apos;i0&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="106.6666666666667" collapsed="false">Returns a finite sum.</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%repRing">ringified term</input><input type="%upvar"></input><input type="%n">0</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>∑ of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="term"/><block s="reifyReporter"><script></script><list></list></block></list></block><script><block s="doSetVar"><l>term</l><block s="reifyReporter"><autolambda><block s="reportDifference"><l>0</l><l>0</l></block></autolambda><list></list></block></block></script><list></list></block><block s="doSetVar"><l>result</l><l>0</l></block><block s="doSetVar"><l>i</l><block var="i0"/></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="n"/></list></block><script><block s="doSetVar"><l>result</l><block s="reportVariadicSum"><list><block var="result"/><block s="evaluate"><block var="term"/><list><block var="i"/></list></block></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="%&apos;b&apos; $nl ∫ %&apos;term&apos; dx $nl %&apos;a&apos; $nl calculated with %&apos;n&apos; intervals" type="reporter" category="2. Math tools"><comment x="0" y="0" w="160.50000000000003" collapsed="false">Returns the integral of a term calculated with n trapezoids.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%repRing">ringified term</input><input type="%n">1</input><input type="%n">100</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>dx</l><l>x1</l><l>x2</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="term"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified term required!</l><l>∫...dx</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="a"/><block var="b"/></list></block><script><block s="doReport"><l>0</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="n"/><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: n should be a positive value!</l><l>∫...dx</l></custom-block></script><list></list></block><block s="doSetVar"><l>dx</l><block s="reportQuotient"><block s="reportDifference"><block var="b"/><block var="a"/></block><block var="n"/></block></block><block s="doSetVar"><l>x1</l><block var="a"/></block><block s="doReport"><block s="reportCombine"><block s="reportMap"><block s="reifyReporter"><script><block s="doSetVar"><l>x2</l><block s="reportVariadicSum"><list><block var="x1"/><block var="dx"/></list></block></block><block s="doSetVar"><l>result</l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="evaluate"><block var="term"/><list><block var="x2"/></list></block><block s="evaluate"><block var="term"/><list><block var="x1"/></list></block></list></block><l>2</l></block><block var="dx"/></list></block></block><block s="doSetVar"><l>x1</l><block var="x2"/></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="reportNumbers"><l>1</l><block var="n"/></block></block><block s="reifyReporter"><autolambda><block s="reportVariadicSum"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block></script></block></script></block-definition><block-definition s="%&apos;function&apos; of %&apos;data&apos; sampled with %&apos;f&apos; Hz" type="reporter" category="2. Math tools"><comment x="0" y="0" w="208.99999999999991" collapsed="false">Reports either &#xD;- data Fourier transformed to frequency-space&#xD;- &quot;raw&quot; FFT (Fast Forier Transformation) data formatted as SciSnap! complex numbers&#xD;- or iFFT real data</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">frequency_spectrum<options>frequency_spectrum&#xD;complex_FFTdata&#xD;iFFT_of_FFTdata</options></input><input type="%l"></input><input type="%n">100</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data available!</l><l>... sampled with ... Hz</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="function"/><l>iFFT_of_FFTdata</l></list></block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: complex data required!</l><l>... sampled with ... Hz</l></custom-block></script><list></list></block></script><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: vector required!</l><l>... sampled with ... Hz</l></custom-block></script><list></list></block></script></block><block s="doReport"><block s="evaluate"><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>SciS_FFTops(data,freq,choice)</l><list></list></block></autolambda><list></list></block><list><custom-block s="copy of %s"><block var="data"/></custom-block><block var="f"/><block var="function"/></list></block></block></script></block></script></block-definition><block-definition s="b(N= %&apos;N&apos; p= %&apos;p&apos; k= %&apos;k&apos; )" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="208.46899739583327" collapsed="false">Reports coefficient of the binomial distribution b(N,p,k)=(N choose k)*p^k(1-p)^(N-k)</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%n">0.1</input><input type="%n">2</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="k"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="k"/><block var="N"/></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="p"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="p"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportVariadicProduct"><list><custom-block s="( %n ) %br ( %n )"><block var="N"/><block var="k"/></custom-block><block s="reportVariadicProduct"><list><block s="reportPower"><block var="p"/><block var="k"/></block><block s="reportPower"><block s="reportDifference"><l>1</l><block var="p"/></block><block s="reportDifference"><block var="N"/><block var="k"/></block></block></list></block></list></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>b(...)</l></custom-block></script></block></script></block-definition><block-definition s="B x= %&apos;x&apos; (N= %&apos;N&apos; p= %&apos;p&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="189.1666666666667" collapsed="false">Reports binomial distribution B(N,p,k).</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">10</input><input type="%n">0.1</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>k</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="x"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block var="N"/></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="p"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="p"/><l>1</l></list></block></list></block></list></block><script><block s="doSetVar"><l>result</l><l>0</l></block><block s="doSetVar"><l>k</l><l>0</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block var="x"/></list></block><script><block s="doChangeVar"><l>result</l><block s="reportVariadicProduct"><list><custom-block s="( %n ) %br ( %n )"><block var="N"/><block var="k"/></custom-block><block s="reportVariadicProduct"><list><block s="reportPower"><block var="p"/><block var="k"/></block><block s="reportPower"><block s="reportDifference"><l>1</l><block var="p"/></block><block s="reportDifference"><block var="N"/><block var="k"/></block></block></list></block></list></block></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>B(...)</l></custom-block></script></block></script></block-definition><block-definition s="h(N= %&apos;N&apos; M= %&apos;M&apos; n= %&apos;n&apos; k= %&apos;k&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="128.63566406249993" collapsed="false">Reports coefficient of the hypergeometric distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%n">3</input><input type="%n">5</input><input type="%n">2</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="M"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="M"/><block var="N"/></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="n"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block var="N"/></list></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="k"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="k"/><block var="n"/></list></block></list></block></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><custom-block s="( %n ) %br ( %n )"><block var="M"/><block var="k"/></custom-block><custom-block s="( %n ) %br ( %n )"><block s="reportDifference"><block var="N"/><block var="M"/></block><block s="reportDifference"><block var="n"/><block var="k"/></block></custom-block></list></block><custom-block s="( %n ) %br ( %n )"><block var="N"/><block var="n"/></custom-block></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>h(...)</l></custom-block></script></block></script></block-definition><block-definition s="H x= %&apos;x&apos; (N= %&apos;N&apos; M= %&apos;M&apos; n= %&apos;n&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="81.50000000000001" collapsed="false">Reports hypergeometric distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">10</input><input type="%n">3</input><input type="%n">5</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>k</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="x"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block var="N"/></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="M"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="M"/><block var="N"/></list></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="n"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block var="N"/></list></block></list></block></list></block><script><block s="doSetVar"><l>result</l><l>0</l></block><block s="doSetVar"><l>k</l><l>0</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block var="x"/></list></block><script><block s="doChangeVar"><l>result</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><custom-block s="( %n ) %br ( %n )"><block var="M"/><block var="k"/></custom-block><custom-block s="( %n ) %br ( %n )"><block s="reportDifference"><block var="N"/><block var="M"/></block><block s="reportDifference"><block var="n"/><block var="k"/></block></custom-block></list></block><custom-block s="( %n ) %br ( %n )"><block var="N"/><block var="n"/></custom-block></block></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>H(...)</l></custom-block></script></block></script></block-definition><block-definition s="p(θ= %&apos;theta&apos; k= %&apos;k&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="119.63566406249996" collapsed="false">Reports coefficient of the Poisson distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">0.05</input><input type="%n">2</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="theta"/></list></block><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="k"/></list></block></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportPower"><block var="theta"/><block var="k"/></block><block s="reportMonadic"><l><option>e^</option></l><block s="reportMonadic"><l><option>neg</option></l><block var="theta"/></block></block></list></block><custom-block s="%n !"><block var="k"/></custom-block></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>p(...)</l></custom-block></script></block></script></block-definition><block-definition s="P x= %&apos;x&apos; p(θ= %&apos;theta&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="76.16666666666667" collapsed="false">Reports Poisson distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">0.05</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>k</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="x"/></list></block><block s="reportVariadicLessThanOrEquals"><list><l>0</l><block var="theta"/></list></block></list></block><script><block s="doSetVar"><l>result</l><l>0</l></block><block s="doSetVar"><l>k</l><l>0</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="k"/><block var="x"/></list></block><script><block s="doChangeVar"><l>result</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportPower"><block var="theta"/><block var="k"/></block><block s="reportMonadic"><l><option>e^</option></l><block s="reportMonadic"><l><option>neg</option></l><block var="theta"/></block></block></list></block><custom-block s="%n !"><block var="k"/></custom-block></block></block><block s="doChangeVar"><l>k</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>P(...)</l></custom-block></script></block></script></block-definition><block-definition s="pareto (xmin= %&apos;xmin&apos; k= %&apos;k&apos; x= %&apos;x&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="115.63566406250024" collapsed="false">Reports coefficient of the Pareto distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">3</input><input type="%n">2</input></inputs><script><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="x"/><block var="xmin"/></list></block><script><block s="doReport"><l>0</l></block></script><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="k"/><block s="reportPower"><block var="xmin"/><block var="k"/></block></list></block><block s="reportPower"><block var="x"/><block s="reportVariadicSum"><list><block var="k"/><l>1</l></list></block></block></block></block></script></block></script></block-definition><block-definition s="n (x= %&apos;x&apos; μ= %&apos;mue&apos; σ= %&apos;sigma&apos; )" type="reporter" category="2. Math tools"><comment x="0" y="0" w="110.16666666666679" collapsed="false">Reports coefficient of the normal distribution.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">0</input><input type="%n">1</input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportMonadic"><l><option>e^</option></l><block s="reportVariadicProduct"><list><l>-0.5</l><block s="reportPower"><block s="reportQuotient"><block s="reportDifference"><block var="x"/><block var="mue"/></block><block var="sigma"/></block><l>2</l></block></list></block></block><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicProduct"><list><l>2</l><custom-block s="𝝅"></custom-block></list></block></block><block var="sigma"/></list></block></block></block></script></block-definition><block-definition s="𝜙" type="reporter" category="2. Math tools" space="true"><comment x="0" y="0" w="90" collapsed="false">The empty set.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><custom-block s="set of { %mult%s }"><list></list></custom-block></block></script></block-definition><block-definition s="|R" type="reporter" category="2. Math tools"><comment x="0" y="0" w="148.07692307692318" collapsed="false">The real (computer-) numbers.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><custom-block s="set of {x| %n %txt x %s %s }"><l>-Infinity</l><l>≤</l><l>≤</l><l>Infinity</l></custom-block></block></script></block-definition><block-definition s="set of { %&apos;elements&apos; }" type="reporter" category="2. Math tools"><comment x="0" y="0" w="192.6738932291671" collapsed="false">Returns a set by listing the elements, predicates, and defined intervals. The three sections are treated as a disjunction: Elements belong to the set if they are enumerated, lie within intervals, or satisfy the predicate. If possible, they are defined by intervals.&#xD;The sequence is: &lt;set&gt;&lt;isNumerical&gt;&lt;list of elements&gt;&lt;list of intervals&gt;&lt;predicate&gt;.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><l>set</l><l></l><custom-block s="%s without duplicates"><block var="elements"/></custom-block><block s="reportNewList"><list></list></block><l></l></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="result"/></block></block></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block><l><option>number</option></l></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block><l>≤</l><l>≤</l><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block></list></block><block s="reportListItem"><l>4</l><block var="result"/></block></block><block s="doDeleteFromList"><block var="i"/><block s="reportListItem"><l>3</l><block var="result"/></block></block></script><script><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block><block s="doReplaceInList"><l>2</l><block var="result"/><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="result"/></block></block><l>0</l></list></block></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="set of {x| %&apos;leftLimit&apos; %&apos;op1&apos; x %&apos;op2&apos; %&apos;rightLimit&apos; }" type="reporter" category="2. Math tools"><comment x="0" y="0" w="200.8405598958334" collapsed="false">Creation of a set by one numerical interval. &#xD;Predicates and elements should be defined by other blocks. &#xD;Returns a set by listing the elements, predicates, and defined intervals. The three sections are treated as a disjunction: Elements belong to the set if they are enumerated, lie within intervals, or satisfy the predicate. If possible, they are defined by intervals.&#xD;The sequence is: &lt;set&gt;&lt;isNumerical&gt;&lt;list of elements&gt;&lt;list of intervals&gt;&lt;predicate&gt;.</comment><header></header><code></code><translations></translations><inputs><input type="%n">-Infinity<options>-Infinity</options></input><input type="%txt" readonly="true">≤<options>≤&#xD;&lt;</options></input><input type="%s" readonly="true">≤<options>≤&#xD;&lt;</options></input><input type="%s">Infinity<options>Infinity</options></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="leftLimit"/><l><option>number</option></l></block><block s="reportIsA"><block var="rightLimit"/><l><option>number</option></l></block></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="leftLimit"/><block var="rightLimit"/></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: that defines no interval!</l><l>set of {x...}</l></custom-block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><l>set</l><block s="reportBoolean"><l><bool>true</bool></l></block><block s="reportNewList"><list></list></block><block s="reportNewList"><list><block s="reportNewList"><list><block var="leftLimit"/><block var="op1"/><block var="op2"/><block var="rightLimit"/></list></block></list></block><l></l></list></block></block></script></block></script></block-definition><block-definition s="set of {x| %&apos;predicate&apos; }" type="reporter" category="2. Math tools"><comment x="0" y="0" w="213.72311197916727" collapsed="false">Creation of a set by a predicate. &#xD;Intervals and elements should be defined by other blocks. If possible the predicate is translated to a list of intervals. &#xD;Returns a set by listing the elements, predicates, and defined intervals. The three sections are treated as a disjunction: Elements belong to the set if they are enumerated, lie within intervals, or satisfy the predicate. If possible, they are defined by intervals.&#xD;The sequence is: &lt;set&gt;&lt;isNumerical&gt;&lt;list of elements&gt;&lt;list of intervals&gt;&lt;predicate&gt;.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing">ringified predicate</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>predicateTree</l></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="predicate"/><l><option>predicate</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: parameter is not a predicate!</l><l>set of ... predicate</l></custom-block></script><list></list></block><block s="doSetVar"><l>predicateTree</l><block s="reportTextSplit"><block var="predicate"/><l><option>blocks</option></l></block></block><block s="doIfElse"><custom-block s="is predicate tree %l translateable to intervals?"><block var="predicateTree"/></custom-block><script><block s="doReport"><block s="reportNewList"><list><l>set</l><block s="reportBoolean"><l><bool>true</bool></l></block><block s="reportNewList"><list></list></block><custom-block s="predicate tree %l $arrowRightThin list of intervals"><block var="predicateTree"/></custom-block><l></l></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><l>set</l><block s="reportBoolean"><l><bool>false</bool></l></block><block s="reportNewList"><list></list></block><block s="reportNewList"><list></list></block><block var="predicate"/></list></block></block></script></block></script></block></script></block-definition><block-definition s="is %&apos;element&apos; ε %&apos;set&apos; ?" type="predicate" category="2. Math tools"><comment x="0" y="0" w="124.90476190476211" collapsed="false">Reports whether &quot;element&quot; is element of &quot;set&quot;.</comment><header></header><code></code><translations></translations><inputs><input type="%s">element</input><input type="%s">set</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicAnd"><list><custom-block s="is %s numerical?"><block var="set"/></custom-block><custom-block s="is %s a %txt"><block var="element"/><l>complex-number</l></custom-block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><custom-block s="%s of a %s"><l>imaginary-part</l><block var="element"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>element</l><custom-block s="%s of a %s"><l>real-part</l><block var="element"/></custom-block></block></script><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script><list></list></block></script></block><block s="doIfElse"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_isElementOfSet(set,element,proc)</l><list><block var="set"/><block var="element"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: set required!</l><l>is ... ε ...</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;set1&apos; %&apos;op&apos; %&apos;set2&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="194.40476190476184" collapsed="false">Reports the intersection, union, difference, or cross product of two sets.</comment><header></header><code></code><translations></translations><inputs><input type="%s">set1</input><input type="%s" readonly="true">∩<options>∩&#xD;∪&#xD;\&#xD;X</options></input><input type="%s">set2</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set1"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: first parameter is not a set!</l><l>set operation</l></custom-block></script><list></list><comment w="107.14285714285722" collapsed="false">are these two sets?</comment></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set2"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second parameter is not a set!</l><l>set operation</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>∪</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><l>set</l><block s="reportVariadicAnd"><list><block s="reportListItem"><l>2</l><block var="set1"/></block><block s="reportListItem"><l>2</l><block var="set2"/></block></list></block><block s="reportConcatenatedLists"><list><block s="reportListItem"><l>3</l><block var="set1"/></block><block s="reportListItem"><l>3</l><block var="set2"/></block></list></block><custom-block s="merge intervals %l"><block s="reportConcatenatedLists"><list><block s="reportListItem"><l>4</l><block var="set1"/></block><block s="reportListItem"><l>4</l><block var="set2"/></block></list></block></custom-block><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set2"/></block><l><option>predicate</option></l></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block></block><block s="reportListItem"><l>5</l><block var="set2"/></block></block></list></block></block><block s="doReport"><custom-block s="cleaned up set %l"><block var="result"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>∩</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><l>set</l><block s="reportVariadicAnd"><list><block s="reportListItem"><l>2</l><block var="set1"/></block><block s="reportListItem"><l>2</l><block var="set2"/></block></list></block><block s="reportConcatenatedLists"><list><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><block s="reportListContainsItem"><block s="reportListItem"><l>3</l><block var="set1"/></block><block var="element"/></block><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><block var="set1"/></block><block var="element"/></custom-block><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="evaluate"><block s="reportListItem"><l>5</l><block var="set1"/></block><list><block var="element"/></list></block><block s="reportBoolean"><l><bool>false</bool></l></block></block></list></block></autolambda><list><l>element</l></list></block><block s="reportListItem"><l>3</l><block var="set2"/></block></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><l/></block><block var="element"/></custom-block><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="evaluate"><block s="reportListItem"><l>5</l><block var="set1"/></block><list><block var="element"/></list></block><block s="reportBoolean"><l><bool>false</bool></l></block></block></list></block></autolambda><list><l>element</l></list></block><block s="reportListItem"><l>3</l><block var="set1"/></block></block></list></block><l></l><l></l></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set2"/></block><l><option>predicate</option></l></block></list></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set1"/></block></block><l>0</l></list></block><script><block s="doReplaceInList"><l>5</l><block var="set1"/><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block></list></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block></block></block><block s="doReplaceInList"><l>4</l><block var="set1"/><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set2"/></block></block><l>0</l></list></block><script><block s="doReplaceInList"><l>5</l><block var="set2"/><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set2"/></block><l><option>predicate</option></l></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set2"/></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></list></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></block></block><block s="doReplaceInList"><l>4</l><block var="set2"/><block s="reportNewList"><list></list></block></block></script><list></list></block></script><list></list></block><block s="doReplaceInList"><l>4</l><block var="result"/><custom-block s="intersect interval lists %l and %l"><block s="reportListItem"><l>4</l><block var="set1"/></block><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></block><block s="doReplaceInList"><l>5</l><block var="result"/><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set1"/></block><l><option>predicate</option></l></block><block s="reportIfElse"><block s="reportIsA"><block s="reportListItem"><l>5</l><block var="set2"/></block><l><option>predicate</option></l></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block><l></l></block><l></l></block></block><block s="doReport"><custom-block s="cleaned up set %l"><block var="result"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>\</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><l>set</l><block s="reportVariadicAnd"><list><block s="reportListItem"><l>2</l><block var="set1"/></block><block s="reportListItem"><l>2</l><block var="set2"/></block></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportListContainsItem"><block s="reportListItem"><l>3</l><block var="set2"/></block><block var="element"/></block><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><block var="set2"/></block><block var="element"/></custom-block></list></block></block></autolambda><list><l>element</l></list></block><block s="reportListItem"><l>3</l><block var="set1"/></block></block><block s="reportNewList"><list></list></block><l></l></list></block><comment w="118" collapsed="false">Listed elements are from set1, but not listed in set2 or part of the intervals of set2 ...</comment></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set2"/></block><l></l></list></block><script><block s="doReplaceInList"><l>3</l><block var="result"/><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="evaluate"><block s="reportListItem"><l>5</l><block var="set2"/></block><list><block var="value"/></list></block></block></autolambda><list><l>value</l></list></block><block s="reportListItem"><l>3</l><block var="result"/></block></block><comment w="179.33333333333334" collapsed="false">... or covered by the predicate of set2.</comment></block></script><list></list></block><block s="doReplaceInList"><l>4</l><block var="result"/><custom-block s="difference of interval lists %l and %l"><block s="reportListItem"><l>4</l><block var="set1"/></block><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block><comment w="267.3333333333333" collapsed="false">interval list of set1 and nor covered from interval list of set2</comment></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set2"/></block><l></l></list></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set1"/></block><l></l></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set1"/></block></block><l>0</l></list></block><script><block s="doReplaceInList"><l>5</l><block var="result"/><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicOr"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block></list></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block></list></block></block></script><script><block s="doReplaceInList"><l>5</l><block var="result"/><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set1"/></block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block></list></block></block></script></block></script><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set1"/></block></block><l>0</l></list></block><script><block s="doReplaceInList"><l>5</l><block var="result"/><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><l/><l/></list></block></autolambda><list></list></block><custom-block s="interval list %l $arrowRightThin predicate"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block></list></block></block><block s="doReplaceInList"><l>4</l><block var="result"/><block s="reportNewList"><list></list></block></block></script><script><block s="doReplaceInList"><l>5</l><block var="result"/><block s="reportJoinWords"><list><block s="reifyPredicate"><autolambda><block s="reportNot"><l/></block></autolambda><list></list></block><block s="reportListItem"><l>5</l><block var="set2"/></block></list></block></block></script></block></script></block></script><list></list><comment w="396.6666666666667" collapsed="false">If set2 has a predicate, we have to transform the interval list of set1 into a predicate.</comment></block><block s="doReport"><custom-block s="cleaned up set %l"><block var="result"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>X</l></list></block><script><block s="doSetVar"><l>set1</l><custom-block s="copy of %s"><block var="set1"/></custom-block></block><block s="doSetVar"><l>set2</l><custom-block s="copy of %s"><block var="set2"/></custom-block></block><block s="doReplaceInList"><l>3</l><block var="set1"/><block s="reportConcatenatedLists"><list><block s="reportListItem"><l>3</l><block var="set1"/></block><custom-block s="numbers in interval list %l"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block></list></block></block><block s="doReplaceInList"><l>3</l><block var="set2"/><block s="reportConcatenatedLists"><list><block s="reportListItem"><l>3</l><block var="set2"/></block><custom-block s="numbers in interval list %l"><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></list></block></block><block s="doReplaceInList"><l>4</l><block var="set1"/><custom-block s="extract numbers from interval list %l"><block s="reportListItem"><l>4</l><block var="set1"/></block></custom-block></block><block s="doReplaceInList"><l>4</l><block var="set2"/><custom-block s="extract numbers from interval list %l"><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set1"/></block></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set2"/></block></block><l>0</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: impossible operation with infinite sets!</l><l>set operation</l></custom-block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><l>set</l><block s="reportVariadicAnd"><list><block s="reportListItem"><l>2</l><block var="set1"/></block><block s="reportListItem"><l>2</l><block var="set2"/></block></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportListAttribute"><l><option>flatten</option></l><l/></block></autolambda><list></list></block><block s="reportCrossproduct"><list><block s="reportListItem"><l>3</l><block var="set1"/></block><block s="reportListItem"><l>3</l><block var="set2"/></block></list></block></block><block s="reportNewList"><list></list></block><l></l></list></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="is %&apos;set1&apos; ⊆ %&apos;set2&apos; ?" type="predicate" category="2. Math tools"><comment x="0" y="0" w="108.57142857142861" collapsed="false">Is set1 subset of set2?</comment><header></header><code></code><translations></translations><inputs><input type="%s">set1</input><input type="%s">set2</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>notCoveredIntervals</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set1"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: first parameter is not a set!</l><l>is set1 ⊆ set2</l></custom-block></script><list></list><comment w="107.14285714285722" collapsed="false">are these two sets?</comment></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set2"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second parameter is not a set!</l><l>is set1 ⊆ set2</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set1"/></block><l></l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: question cann&apos;t be answered yet for unreducible predicates in set1!</l><l>is set1 ⊆ set2</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set2"/></block><l></l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: question cann&apos;t be answered yet for unreducible predicates in set2!</l><l>is set1 ⊆ set2</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>5</l><block var="set2"/></block><l></l></list></block><script><block s="doSetVar"><l>notCoveredIntervals</l><custom-block s="intervals %l not covered by predicate %s"><block s="reportListItem"><l>4</l><block var="set1"/></block><block s="reportListItem"><l>5</l><block var="set2"/></block></custom-block></block></script><script><block s="doSetVar"><l>notCoveredIntervals</l><block s="reportListItem"><l>4</l><block var="set1"/></block></block></script></block><block s="doForEach"><l>interval</l><block var="notCoveredIntervals"/><script><block s="doIf"><block s="reportNot"><custom-block s="is interval %l subinterval of interval list %l ?"><block var="interval"/><block s="reportListItem"><l>4</l><block var="set2"/></block></custom-block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doForEach"><l>element</l><block s="reportListItem"><l>3</l><block var="set1"/></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><custom-block s="evaluate predicate %s with %s"><block s="reportListItem"><l>5</l><block var="set2"/></block><block var="element"/></custom-block><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><block var="set2"/></block><block var="element"/></custom-block><block s="reportListContainsItem"><block s="reportListItem"><l>3</l><block var="set2"/></block><block var="element"/></block></list></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block><comment w="144.2857142857143" collapsed="false">item is not element of set2</comment></block></script><list></list></block></script><comment w="116.16666666666674" collapsed="false">Compare elements</comment></block><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script></block></script></block-definition><block-definition s="is %&apos;set1&apos; = %&apos;set2&apos; ?" type="predicate" category="2. Math tools"><comment x="0" y="0" w="142.3076923076923" collapsed="false">Are theses two sets equal?</comment><header></header><code></code><translations></translations><inputs><input type="%s">set1</input><input type="%s">set2</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set1"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: first parameter is not a set!</l><l>ist set1 = set2</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set2"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second parameter is not a set!</l><l>ist set1 = set2</l></custom-block></script><list></list></block><block s="doReport"><block s="reportVariadicAnd"><list><custom-block s="is %s ⊆ %s ?"><block var="set1"/><block var="set2"/></custom-block><custom-block s="is %s ⊆ %s ?"><block var="set2"/><block var="set1"/></custom-block></list></block></block></script></block></script></block-definition><block-definition s="%&apos;n&apos; elements ε |N of %&apos;set&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="187.91208791208803" collapsed="false">Reports up to n elements of a set. Numers are natural numbers smaller than maxSetValue in SciSnap!-properties.</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%s">set</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second parameter is not a set!</l><l>n elements of set</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportListItem"><l>3</l><block var="set"/></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="set"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>i</l><l>0</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><custom-block s="SciSnap! global property %s"><l>maxSetValue</l></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>2</l><block var="n"/></list></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="set"/></block></block></list></block></list></block></list></block><script><block s="doIf"><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><block var="set"/></block><block var="i"/></custom-block><script><block s="doAddToList"><block var="i"/><block var="result"/></block></script><list></list></block><block s="doIf"><custom-block s="evaluate predicate %s with %s"><block s="reportListItem"><l>5</l><block var="set"/></block><block var="i"/></custom-block><script><block s="doAddToList"><block var="i"/><block var="result"/></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script><comment w="135.71428571428572" collapsed="false">maxSetValue should be close to infinity ;-)</comment></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportListIndex"><block var="value"/><block var="list"/></block><block var="index"/></list></block></autolambda><list><l>value</l><l>index</l><l>list</l></list></block><block var="result"/></block><comment w="57.14285714285713" collapsed="false">clean up</comment></block><block s="doUntil"><block s="reportVariadicLessThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="result"/></block><block var="n"/></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="result"/></block></script></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="result"/></block><l><option>list</option></l></block><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><l/></block><block s="reportListItem"><l>1</l><l/></block></list></block></autolambda><list></list></block></list></block></block></script><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></list></block></block></script></block></script></block></script></block-definition><block-definition s="section %&apos;choice&apos; of %&apos;set&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="200.38095238095238" collapsed="false">Reports the enumerated elements and numbers written as intervals of the set.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">elements<options>elements&#xD;intervals&#xD;predicate</options></input><input type="%s">this set</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: parameter is not a set!</l><l>... of set</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>elements</l></list></block><script><block s="doReport"><block s="reportConcatenatedLists"><list><block s="reportListItem"><l>3</l><block var="set"/></block><custom-block s="numbers in interval list %l"><block s="reportListItem"><l>4</l><block var="set"/></block></custom-block></list></block></block></script><list><block s="reportVariadicEquals"><list><block var="choice"/><l>intervals</l></list></block><script><block s="doReport"><block s="reportListItem"><l>4</l><block var="set"/></block></block></script><block s="reportVariadicEquals"><list><block var="choice"/><l>predicate</l></list></block><script><block s="doReport"><block s="reportListItem"><l>5</l><block var="set"/></block></block></script><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong option!</l><l>... of set</l></custom-block></script></list></block></script></block></script></block-definition><block-definition s="%&apos;type&apos; edge of interval %&apos;interval&apos;" type="reporter" category="2. Math tools"><comment x="0" y="0" w="131.5" collapsed="false">Returns the value of the left or right edge of an interval.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">left<options>left&#xD;right</options></input><input type="%s"></input></inputs><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="interval"/><l>interval</l></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="type"/><l>left</l></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="interval"/></block></block></script><script><block s="doReport"><block s="reportListItem"><l>4</l><block var="interval"/></block></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: interval missing!</l><l>left edge of interval</l></custom-block></script></block></script></block-definition><block-definition s="element %&apos;element&apos; $arrowRightOutline text" type="reporter" category="2. Math tools"><comment x="0" y="0" w="138.24542124542145" collapsed="false">Reports simple types, sets and lists as string.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>is first element</l><l>elements</l><l>i</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportIsA"><block var="element"/><l><option>number</option></l></block><script><block s="doReport"><block s="reportJoinWords"><list><l></l><block var="element"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block var="element"/><l><option>Boolean</option></l></block><script><block s="doIfElse"><block var="element"/><script><block s="doReport"><l>true</l></block></script><script><block s="doReport"><l>false</l></block></script></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block var="element"/><l><option>text</option></l></block><script><block s="doReport"><block var="element"/></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block var="element"/><l><option>list</option></l></block><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="element"/><l>set</l></custom-block><script><block s="doSetVar"><l>result</l><l>{</l></block><block s="doSetVar"><l>is first element</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>elements</l><block s="reportListItem"><l>3</l><block var="element"/></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>4</l><block var="element"/></block></block><l>0</l></list></block><script><block s="doSetVar"><l>i</l><l>0</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><custom-block s="SciSnap! global property %s"><l>maxSetValue</l></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="elements"/></block><block s="reportVariadicSum"><list><l>40</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="element"/></block></block></list></block></list></block></list></block><script><block s="doIf"><custom-block s="evaluate intervals %l with %s"><block s="reportListItem"><l>4</l><block var="element"/></block><block var="i"/></custom-block><script><block s="doAddToList"><block var="i"/><block var="elements"/></block></script><list></list></block><block s="doIf"><custom-block s="evaluate predicate %s with %s"><block s="reportListItem"><l>5</l><block var="element"/></block><block var="i"/></custom-block><script><block s="doAddToList"><block var="i"/><block var="result"/></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script><comment w="135.71428571428572" collapsed="false">maxSetValue should be close to infinity ;-)</comment></block></script><list></list></block><block s="doSetVar"><l>elements</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportListIndex"><block var="value"/><block var="list"/></block><block var="index"/></list></block></autolambda><list><l>value</l><l>index</l><l>list</l></list></block><block var="elements"/></block></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="elements"/></block><l>20</l></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="elements"/></block></script></block><block s="doForEach"><l>item</l><block var="elements"/><script><block s="doIfElse"><block var="is first element"/><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><custom-block s="element %s $arrowRightOutline text"><block var="item"/></custom-block></list></block></block><block s="doSetVar"><l>is first element</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>,</l><custom-block s="element %s $arrowRightOutline text"><block var="item"/></custom-block></list></block></block></script></block></script></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="elements"/></block><l>18</l></list></block><script><block s="doReport"><block s="reportJoinWords"><list><block var="result"/><l>,...}</l></list></block></block></script><script><block s="doReport"><block s="reportJoinWords"><list><block var="result"/><l>}</l></list></block></block></script></block></script><script><block s="doSetVar"><l>result</l><l>[</l></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="element"/></block><l>20</l></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="element"/></block></script></block><block s="doSetVar"><l>is first element</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doForEach"><l>item</l><block var="element"/><script><block s="doIfElse"><block var="is first element"/><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><custom-block s="element %s $arrowRightOutline text"><block var="item"/></custom-block></list></block></block><block s="doSetVar"><l>is first element</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>,</l><custom-block s="element %s $arrowRightOutline text"><block var="item"/></custom-block></list></block></block></script></block></script></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="element"/></block><l>18</l></list></block><script><block s="doReport"><block s="reportJoinWords"><list><block var="result"/><l>,...]</l></list></block></block></script><script><block s="doReport"><block s="reportJoinWords"><list><block var="result"/><l>]</l></list></block></block></script></block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no simple type!</l><l>elements --&gt; text</l></custom-block></script></block></script></block-definition><block-definition s="text %&apos;text&apos; $arrowRightOutline elements" type="reporter" category="2. Math tools"><comment x="0" y="0" w="124.00000000000004" collapsed="false">Converts a string to a list of elements.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">1,2,[3,4],{6,7,8..12}</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>inputlist</l><l>element</l><l>substring</l><l>i</l><l>element1</l><l>element2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>text</l><block s="reportTextSplit"><block var="text"/><l>,</l></block></block><block s="doUntil"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="text"/></block><l>1</l></list></block><script><block s="doSetVar"><l>element</l><custom-block s="replace %txt %txt with %txt in %txt"><l>all</l><l> </l><l></l><block s="reportListItem"><l>1</l><block var="text"/></block></custom-block></block><block s="doDeleteFromList"><l>1</l><block var="text"/></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="element"/></block><l>0</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="element"/><l><option>number</option></l><comment w="90" collapsed="false">find numbers</comment></block><script><block s="doAddToList"><block var="element"/><block var="result"/></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="element"/><l>true</l></list><comment w="90" collapsed="false">find booleans</comment></block><script><block s="doAddToList"><block s="reportBoolean"><l><bool>true</bool></l></block><block var="result"/></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="element"/><l>false</l></list></block><script><block s="doAddToList"><block s="reportBoolean"><l><bool>false</bool></l></block><block var="result"/></block></script><script><block s="doSetVar"><l>i</l><custom-block s="index of %txt in %txt"><l>.</l><block var="element"/></custom-block><comment w="110.6666666666667" collapsed="false">find number intervals</comment></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><l>0</l></list></block><script><block s="doSetVar"><l>element1</l><custom-block s="substring of %txt from %n to %n"><block var="element"/><l>1</l><block s="reportDifference"><block var="i"/><l>1</l></block></custom-block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportLetter"><block s="reportVariadicSum"><list><block var="i"/><l>1</l></list></block><block var="element"/></block><l>.</l></list></block><script><block s="doSetVar"><l>element2</l><custom-block s="substring of %txt from %n to %n"><block var="element"/><block s="reportVariadicSum"><list><block var="i"/><l>2</l></list></block><block s="reportTextAttribute"><l><option>length</option></l><block var="element"/></block></custom-block></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="element1"/><l><option>number</option></l></block><block s="reportIsA"><block var="element2"/><l><option>number</option></l></block></list></block><script><block s="doSetVar"><l>i</l><block var="element1"/></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="element2"/></list></block><script><block s="doAddToList"><block var="i"/><block var="result"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing number close to ".."</l><l>text --&gt; elements</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing "."</l><l>text --&gt; elements</l></custom-block></script></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block var="element"/></block><l>[</l></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="index of %txt in %txt"><l>]</l><block var="element"/></custom-block><l>0</l></list></block><script><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="text"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>]</l><block s="reportListItem"><l>1</l><block var="text"/></block></custom-block><l>0</l></list></block></list></block><script><block s="doSetVar"><l>element</l><block s="reportJoinWords"><list><block var="element"/><l>,</l><block s="reportListItem"><l>1</l><block var="text"/></block></list></block></block><block s="doDeleteFromList"><l>1</l><block var="text"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>]</l><block s="reportListItem"><l>1</l><block var="text"/></block></custom-block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="index of %txt in %txt"><l>]</l><block var="element"/></custom-block><l>0</l></list></block></list></block><script><block s="doSetVar"><l>element</l><block s="reportJoinWords"><list><block var="element"/><l>,</l><block s="reportListItem"><l>1</l><block var="text"/></block></list></block></block><block s="doDeleteFromList"><l>1</l><block var="text"/></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>]</l><block var="element"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>i</l><custom-block s="index of %txt in %txt"><l>]</l><block var="element"/></custom-block></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><l>2</l></list></block><script><block s="doAddToList"><custom-block s="text %txt $arrowRightOutline elements"><custom-block s="substring of %txt from %n to %n"><block var="element"/><l>2</l><block s="reportDifference"><block var="i"/><l>1</l></block></custom-block></custom-block><block var="result"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing "]"</l><l>text --&gt; elements</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing "]"</l><l>text --&gt; elements</l></custom-block></script></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportLetter"><l>1</l><block var="element"/></block><l>{</l></list><comment w="90" collapsed="false">find sets</comment></block><script><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="index of %txt in %txt"><l>}</l><block var="element"/></custom-block><l>0</l></list></block><script><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="text"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>}</l><block s="reportListItem"><l>1</l><block var="text"/></block></custom-block><l>0</l></list></block></list></block><script><block s="doSetVar"><l>element</l><block s="reportJoinWords"><list><block var="element"/><l>,</l><block s="reportListItem"><l>1</l><block var="text"/></block></list></block></block><block s="doDeleteFromList"><l>1</l><block var="text"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>}</l><block s="reportListItem"><l>1</l><block var="text"/></block></custom-block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="index of %txt in %txt"><l>}</l><block var="element"/></custom-block><l>0</l></list></block></list></block><script><block s="doSetVar"><l>element</l><block s="reportJoinWords"><list><block var="element"/><l>,</l><block s="reportListItem"><l>1</l><block var="text"/></block></list></block></block><block s="doDeleteFromList"><l>1</l><block var="text"/></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>}</l><block var="element"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>i</l><custom-block s="index of %txt in %txt"><l>}</l><block var="element"/></custom-block></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><l>2</l></list></block><script><block s="doSetVar"><l>element1</l><block s="reportNewList"><list><l>set</l><l></l><block s="reportNewList"><list></list></block><block s="reportNewList"><list></list></block><l></l></list></block></block><block s="doReplaceInList"><l>3</l><block var="element1"/><custom-block s="text %txt $arrowRightOutline elements"><custom-block s="substring of %txt from %n to %n"><block var="element"/><l>2</l><block s="reportDifference"><block var="i"/><l>1</l></block></custom-block></custom-block></block><block s="doReplaceInList"><l>2</l><block var="element1"/><custom-block s="is %s a %txt"><block s="reportListItem"><l>3</l><block var="element1"/></block><l>numericalList</l></custom-block></block><block s="doAddToList"><block var="element1"/><block var="result"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing "}"</l><l>text --&gt; elements</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing "}"</l><l>text --&gt; elements</l></custom-block></script></block></script><script><block s="doAddToList"><block var="element"/><block var="result"/><comment w="171.99999999999997" collapsed="false">other elements interpreted as string</comment></block></script></block></script><comment w="90" collapsed="false">find lists</comment></block></script></block></script></block></script></block></script></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="INFO &quot;Data tools&quot;" type="command" category="3. Data tools"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "Data tools"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks to deal with data, mainly organized as tables.&#xD;Data can be imported from different sources, or can be created in different ways. If they are imported to the SciSnap!Data-variable, some properties - i.e. min, max, numer of columns, ... -&#xD;are determined and saved in SciSnap!Properties. The access to table elements can be performed by indices or labels in the first row or column - i.e. data(name, 33).&#xD;Blocks to work with parts of tables are available - i.e. to get subsections. For tables and subsection properties like ranges, mean, covariance or correlations can be calculated.&#xD;To tables some methods of machine learning can be applied - i.e. regression line calculation, k-means-clustering with different metrics, k-next-neighbours, DBSCAN or ID3 decision tree. &#xD;You can also perform pooling operations, calculate the entropy, or use convolution kernels i.e. for image operations like edge detection.&#xD;If the content of a table is numerical, so the table is a matrix, you can use the blocks of the Math-tools.</l></custom-block></custom-block></script></block-definition><block-definition s="empty table" type="reporter" category="3. Data tools" space="true"><comment x="0" y="0" w="114.1666666666667" collapsed="false">Returns an empty table.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script></block-definition><block-definition s="copy of %&apos;data&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="198.83333333333326" collapsed="false">Reports the copy of a list or an empty list.</comment><header></header><code></code><translations></translations><inputs><input type="%s">table or list</input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_copyOf(theList)</l><list><block var="data"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables or lists can be copied!</l><l>copy of ...</l></custom-block></script></block></script></block-definition><block-definition s="data %&apos;data&apos; as %&apos;type&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="90" collapsed="false">Type conversions</comment><header></header><code></code><translations></translations><inputs><input type="%s">table or list</input><input type="%s" readonly="true">CSV<options>DATAASTEXT&#xD;CSV&#xD;JSON</options></input></inputs><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_convertData(data,type)</l><list><block var="data"/><block var="type"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables or lists can be converted!</l><l>data ... as ...</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;n&apos; x %&apos;m&apos; table $nl initialized with %&apos;value&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="101.66666666666679" collapsed="false">Reports a new table initialized with value.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">3</input><input type="%s">a value</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>row</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>row</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="n"/><script><block s="doAddToList"><block var="value"/><block var="row"/></block></script></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="m"/><script><block s="doAddToList"><custom-block s="copy of %s"><block var="row"/></custom-block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="%&apos;n&apos; by %&apos;m&apos; table $nl with labels: %&apos;labels&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="98.5" collapsed="false">Reports a table with labeled columns.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">3</input><input type="%mult%txt"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>row</l><l>i</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>row</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportIsA"><block var="labels"/><l><option>list</option></l></block><script><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="n"/></list></block><script><block s="doIfElse"><block s="reportVariadicLessThanOrEquals"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="labels"/></block></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="labels"/></block></block><l>0</l></list></block><script><block s="doAddToList"><block s="reportListItem"><block var="i"/><block var="labels"/></block><block var="row"/></block></script><script><block s="doAddToList"><l>...</l><block var="row"/></block></script></block></script><script><block s="doAddToList"><l>...</l><block var="row"/></block></script></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doAddToList"><block var="row"/><block var="result"/></block><block s="doSetVar"><l>row</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="n"/><script><block s="doAddToList"><l></l><block var="row"/></block></script></block><block s="doRepeat"><block var="m"/><script><block s="doAddToList"><custom-block s="copy of %s"><block var="row"/></custom-block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: labels required!</l><l>new ... table with labels</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;n&apos; random points with ranges x: %&apos;xmin&apos; %&apos;xmax&apos; $nl y: %&apos;ymin&apos; %&apos;ymax&apos; inside of a %&apos;shape&apos;" type="reporter" category="3. Data tools" space="true"><comment x="0" y="0" w="197.04212454212438" collapsed="false">Reports randomly distributed points in the form of a rectangle, circle, or ring.</comment><header></header><code></code><translations></translations><inputs><input type="%n">100</input><input type="%n">-100</input><input type="%n">100</input><input type="%n">-100</input><input type="%n">100</input><input type="%s" readonly="true">square<options>square&#xD;circle&#xD;ring</options></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>r</l><l>alpha</l><l>d</l><l>x0</l><l>y0</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="shape"/><l>square</l></list></block><script><block s="doRepeat"><block var="n"/><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportRandom"><block var="xmin"/><block var="xmax"/></block><block s="reportRandom"><block var="ymin"/><block var="ymax"/></block></list></block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="shape"/><l>circle</l></list></block><script><block s="doSetVar"><l>r</l><block s="reportQuotient"><custom-block s="%s of %s"><l>min</l><block s="reportNewList"><list><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block></block><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="ymax"/><block var="ymin"/></block></block></list></block></custom-block><l>2</l></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="xmin"/><block var="xmax"/></list></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="ymin"/><block var="ymax"/></list></block><l>2</l></block></block><block s="doRepeat"><block var="n"/><script><block s="doSetVar"><l>alpha</l><block s="reportVariadicProduct"><list><l>360</l><custom-block s="random"></custom-block></list></block></block><block s="doSetVar"><l>d</l><block s="reportVariadicProduct"><list><block var="r"/><custom-block s="random"></custom-block></list></block></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="d"/><block s="reportMonadic"><l><option>sin</option></l><block var="alpha"/></block></list></block><block var="x0"/></list></block></block><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="d"/><block s="reportMonadic"><l><option>cos</option></l><block var="alpha"/></block></list></block><block var="y0"/></list></block></block></list></block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="shape"/><l>ring</l></list></block><script><block s="doSetVar"><l>r</l><block s="reportQuotient"><custom-block s="%s of %s"><l>min</l><block s="reportNewList"><list><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block></block><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="ymax"/><block var="ymin"/></block></block></list></block></custom-block><l>2</l></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="xmin"/><block var="xmax"/></list></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="ymin"/><block var="ymax"/></list></block><l>2</l></block></block><block s="doRepeat"><block var="n"/><script><block s="doSetVar"><l>alpha</l><block s="reportVariadicProduct"><list><l>360</l><custom-block s="random"></custom-block></list></block></block><block s="doSetVar"><l>d</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="r"/><block s="reportVariadicSum"><list><custom-block s="random"></custom-block><l>2</l></list></block></list></block><l>3</l></block></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="d"/><block s="reportMonadic"><l><option>sin</option></l><block var="alpha"/></block></list></block><block var="x0"/></list></block></block><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="d"/><block s="reportMonadic"><l><option>cos</option></l><block var="alpha"/></block></list></block><block var="y0"/></list></block></block></list></block><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block></script></block></script></block-definition><block-definition s="%&apos;n&apos; random points near a straight line $nl x-range %&apos;xmin&apos; %&apos;xmax&apos; gradient %&apos;m&apos; $nl y-axis-intercept %&apos;b&apos; range %&apos;delta&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="182.266797129811" collapsed="false">Creates new random data in the specified ranges swaying by a straight.</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%n">-5</input><input type="%n">5</input><input type="%n">1</input><input type="%n">0</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>data</l><l>x</l><l>y</l><l>diff</l><l>i</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>data</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>diff</l><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="n"/></list></block><script><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><custom-block s="random"></custom-block><block var="diff"/></list></block><block var="xmin"/></list></block></block><block s="doSetVar"><l>y</l><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="m"/><block var="x"/></list></block><block s="reportVariadicProduct"><list><block var="delta"/><block s="reportDifference"><custom-block s="random"></custom-block><l>0.5</l></block></list></block></list></block><block var="b"/></list></block></block><block s="doAddToList"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block><block var="data"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="data"/></block></script></block></script></block-definition><block-definition s="%&apos;n&apos; random points near %&apos;f&apos; $nl between %&apos;xmin&apos; and %&apos;xmax&apos; range %&apos;range&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="130.68681318681342" collapsed="false">Generates a list of points &quot;near&quot; a given graph.</comment><header></header><code></code><translations></translations><inputs><input type="%n">20</input><input type="%repRing"></input><input type="%n">-5</input><input type="%n">5</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>x</l><l>y</l><l>data</l><l>random</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="f"/><l><option>reporter</option></l></block><script><block s="doSetVar"><l>data</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="n"/><script><block s="doSetVar"><l>random</l><custom-block s="random"></custom-block></block><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="xmax"/><block var="xmin"/></block><block var="random"/></list></block><block var="xmin"/></list></block></block><block s="doSetVar"><l>y</l><block s="evaluate"><block var="f"/><list><block var="x"/></list></block></block><block s="doSetVar"><l>random</l><custom-block s="random"></custom-block></block><block s="doAddToList"><block s="reportNewList"><list><block var="x"/><block s="reportVariadicSum"><list><block var="y"/><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="random"/><l>0.5</l></block><block var="range"/></list></block></list></block></list></block><block var="data"/></block></script></block><block s="doReport"><block var="data"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: reporter with ring required!</l><l>n random points near ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; %&apos;name&apos; of %&apos;data&apos; with first item? %&apos;WithFirstItem&apos;" type="reporter" category="3. Data tools" space="true"><comment x="0" y="0" w="277.16666666666663" collapsed="false">Reports the row or column of a table identified by number or name, or reports an error message. If the the name is a number You can mark this with a  # (e.g. #123).</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">row<options>row&#xD;column</options></input><input type="%s">numberOrName<options>first&#xD;last&#xD;numberOrName</options></input><input type="%s">SciSnap!Data</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>table</l><l>result</l><l>n</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>table</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>table</l><block var="data"/></block></script></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="table"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>row/column of data</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row</l></list></block><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="name"/><block var="table"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block var="table"/></block></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>row/column of data</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block var="table"/></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: row index out of range!</l><l>row/column of data</l></custom-block></script><script><block s="doSetVar"><l>result</l><custom-block s="copy of %s"><block s="reportListItem"><block var="n"/><block var="table"/></block></custom-block></block><block s="doIf"><block s="reportNot"><block var="WithFirstItem"/></block><script><block s="doDeleteFromList"><l>1</l><block var="result"/></block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column</l></list></block><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="name"/><block var="table"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="table"/></block></block></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>row/column of data</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="table"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>row/column of data</l></custom-block></script><script><block s="doSetVar"><l>result</l><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportListItem"><block var="n"/><l/></block></block></script><list></list></block><block var="table"/></block></block><block s="doIf"><block s="reportNot"><block var="WithFirstItem"/></block><script><block s="doDeleteFromList"><l>1</l><block var="result"/></block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: something wrong!</l><l>row/column of data</l></custom-block></script></block></script></block-definition><block-definition s="add %&apos;choice&apos; %&apos;newContent&apos; to %&apos;table&apos;" type="command" category="3. Data tools"><comment x="0" y="0" w="147.61904761904785" collapsed="false">Adds a row, a column, or  column headers to a table.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">row<options>row&#xD;column&#xD;column-headers</options></input><input type="%s">a list</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>tablewidth</l><l>item</l><l>target</l><l>i</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>target</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>target</l><block var="table"/></block></script></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="target"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>add ... to ..</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="target"/></block><l>0</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="newContent"/><l><option>list</option></l></block><script><block s="doAddToList"><block var="newContent"/><block var="target"/></block></script><script><block s="doAddToList"><block s="reportNewList"><list><block var="newContent"/></list></block><block var="target"/></block></script></block></script><script><block s="doSetVar"><l>tablewidth</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="target"/></block></block></block><block s="doIfElse"><block s="reportIsA"><block var="newContent"/><l><option>list</option></l></block><script><block s="doSetVar"><l>item</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="tablewidth"/></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="newContent"/></block></list></block><script><block s="doAddToList"><l></l><block var="item"/></block></script><script><block s="doAddToList"><block s="reportListItem"><block var="i"/><block var="newContent"/></block><block var="item"/></block></script></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><script><block s="doSetVar"><l>item</l><block s="reportNewList"><list><block var="newContent"/></list></block></block><block s="doSetVar"><l>i</l><l>2</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="tablewidth"/></list></block><script><block s="doAddToList"><l></l><block var="item"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block><block s="doAddToList"><block var="item"/><block var="target"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="newContent"/><l><option>list</option></l></block></block><script><block s="doSetVar"><l>newContent</l><block s="reportNewList"><list><block var="newContent"/></list></block></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="target"/></block><l>0</l></list></block><script><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="newContent"/></block></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportListItem"><block var="i"/><block var="newContent"/></block></list></block><block var="target"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><script><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="target"/></block></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="newContent"/></block></list></block><script><block s="doAddToList"><l></l><block s="reportListItem"><block var="i"/><block var="target"/></block></block></script><script><block s="doAddToList"><block s="reportListItem"><block var="i"/><block var="newContent"/></block><block s="reportListItem"><block var="i"/><block var="target"/></block></block></script></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column-headers</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="target"/></block><l>0</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="newContent"/><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="newContent"/></block><l>0</l></list></block><script><block s="doAddToList"><block var="newContent"/><block var="target"/></block></script><list></list></block></script><script><block s="doAddToList"><block s="reportNewList"><list><block var="newContent"/></list></block><block var="target"/></block></script></block></script><script><block s="doSetVar"><l>tablewidth</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="target"/></block></block></block><block s="doIfElse"><block s="reportIsA"><block var="newContent"/><l><option>list</option></l></block><script><block s="doSetVar"><l>item</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="tablewidth"/></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="newContent"/></block></list></block><script><block s="doAddToList"><l>...</l><block var="item"/></block></script><script><block s="doAddToList"><block s="reportListItem"><block var="i"/><block var="newContent"/></block><block var="item"/></block></script></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><script><block s="doSetVar"><l>item</l><block s="reportNewList"><list><block var="newContent"/></list></block></block><block s="doSetVar"><l>i</l><l>2</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="tablewidth"/></list></block><script><block s="doAddToList"><l>...</l><block var="item"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script></block><block s="doInsertInList"><block var="item"/><l>1</l><block var="target"/></block></script></block></script><list></list></block></script></block></script></block-definition><block-definition s="delete %&apos;choice&apos; %&apos;name&apos; of %&apos;data&apos;" type="command" category="3. Data tools"><comment x="0" y="0" w="159.6666666666666" collapsed="false">Deletes a row or column of a table. identified by number or name, or reports an error message. If the the name is a number You can mark this with a  # (e.g. #123).</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">row<options>row&#xD;column</options></input><input type="%s">numberOrName<options>first&#xD;last&#xD;numberOrName</options></input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>table</l><l>result</l><l>n</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>table</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>table</l><block var="data"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="table"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only data in tables are deletable!</l><l>delete ... of table</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>row</l></list></block><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="name"/><block var="table"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block var="table"/></block></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block><script><block s="doDeleteFromList"><block var="n"/><block var="table"/></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>column</l></list></block><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="name"/><block var="table"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>first</l></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="name"/><l>last</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="table"/></block></block></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>delete ... of table</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="table"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>delete ... of table</l></custom-block></script><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="table"/></block></block><l>1</l></list></block><block s="reportVariadicEquals"><list><block var="n"/><l>1</l></list></block></list></block><script><block s="doDeleteFromList"><l><option>all</option></l><block var="table"/></block></script><script><block s="doSetVar"><l>result</l><block s="reportMap"><block s="reifyReporter"><script><block s="doDeleteFromList"><block var="n"/><block var="item"/></block><block s="doReport"><l></l></block></script><list><l>item</l></list></block><block var="table"/></block></block></script></block></script></block></script><list></list></block></script></block></script></block-definition><block-definition s="element %&apos;xName&apos; %&apos;yName&apos; of %&apos;table&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="130.83333333333306" collapsed="false">Reports the element a position x|y of a table, identified by numbers or names.</comment><header></header><code></code><translations></translations><inputs><input type="%s">numberOrName</input><input type="%s">numberOrName</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>x</l><l>y</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>element of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>x</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="xName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="x"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>element of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>y</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="yName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="y"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>element of ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="y"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>element of ...</l></custom-block></script><script><block s="doReport"><block s="reportListItem"><block var="x"/><block s="reportListItem"><block var="y"/><block var="source"/></block></block></block></script></block></script></block></script></block-definition><block-definition s="set element %&apos;xName&apos; %&apos;yName&apos; of %&apos;table&apos; to %&apos;value&apos;" type="command" category="3. Data tools"><comment x="0" y="0" w="120.11904761904766" collapsed="false">Replaces the value at position x|y of a table.</comment><header></header><code></code><translations></translations><inputs><input type="%s">numberOrName</input><input type="%s">numberOrName</input><input type="%s">SciSnap!Data</input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>x</l><l>y</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: operation only defined for tables!</l><l>set element of table to value</l></custom-block></script><list></list></block><block s="doSetVar"><l>x</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="xName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="x"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>set element of table to value</l></custom-block></script><list></list></block><block s="doSetVar"><l>y</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="yName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="y"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>set element of table to value</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="y"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>set element of table to value</l></custom-block></script><script><block s="doReplaceInList"><block var="x"/><block s="reportListItem"><block var="y"/><block var="source"/></block><block var="value"/></block></script></block></script></block></script></block-definition><block-definition s="columns %&apos;columns&apos; of %&apos;table&apos; $nl from row %&apos;startnr&apos; to %&apos;endnr&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="100.42857142857069" collapsed="false">Reports the columns from row startnr to row endnr.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%s">SciSnap!Data</input><input type="%s">numberOrName</input><input type="%s">last<options>last&#xD;numberOrName</options></input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>colNumbers</l><l>n</l><l>result</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>columns of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="endnr"/><l>last</l></list></block><script><block s="doSetVar"><l>endnr</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></script><list></list></block><block s="doSetVar"><l>startnr</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="startnr"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="startnr"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>columns of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>endnr</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="endnr"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="endnr"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>columns of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>colNumbers</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block var="columns"/><script><block s="doIfElse"><block s="reportIsA"><block var="item"/><l><option>number</option></l></block><script><block s="doAddToList"><block var="item"/><block var="colNumbers"/></block></script><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="item"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>columns of ...</l></custom-block></script><list></list></block><block s="doAddToList"><block var="n"/><block var="colNumbers"/></block></script></block></script></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_columncopy(data,cols,start,stop)</l><list><block var="source"/><block var="colNumbers"/><block var="startnr"/><block var="endnr"/></list></block></block></script></block></script></block-definition><block-definition s="subsection of %&apos;choice&apos; in %&apos;data&apos; from $nl %&apos;b1Name&apos; %&apos;b2Name&apos; to %&apos;e1Name&apos; %&apos;e2Name&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="124.57142857142848" collapsed="false">Reports a subsection of an image or table.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">RGB-data<options>table-data&#xD;matrix-data&#xD;list-data&#xD;RGB-data&#xD;FITS-data</options></input><input type="%s">SciSnap!Data</input><input type="%s">numberOrName</input><input type="%s">numberOrName</input><input type="%s">numberOrName</input><input type="%s">numberOrName</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>width</l><l>height</l><l>begin</l><l>end</l><l>b1</l><l>b2</l><l>e1</l><l>e2</l><l>result</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>list-data</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b1Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown start number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="e1Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown end number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list required</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>dummy</l><block s="reportMap"><block s="reifyReporter"><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="index"/><block var="b1Name"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="index"/><block var="e1Name"/></list></block></list></block><script><block s="doAddToList"><block var="value"/><block var="result"/></block></script><list></list></block><block s="doReport"><l></l></block></script><list><l>value</l><l>index</l></list></block><block var="source"/></block></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>table-data</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>matrix-data</l></list></block></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table or matrix required</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>b1</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="b1Name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b1"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>b2</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="b2Name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b2"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>e1</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="e1Name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="e1"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>e2</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>row</l><block var="e2Name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="e2"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown row name!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>begin</l><block s="reportNewList"><list><block var="b1"/><block var="b2"/></list></block></block><block s="doSetVar"><l>end</l><block s="reportNewList"><list><block var="e1"/><block var="e2"/></list></block></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_subsection(data,begin,end)</l><list><block var="source"/><block var="begin"/><block var="end"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB-data</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>FITS-data</l></list></block></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: please import image-data to SciSnap!Data first!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB-data</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><custom-block s="SciSnap! global property %s"><l>typeOfData</l></custom-block><l>RGB</l></list></block><custom-block s="is %s a %txt"><block var="SciSnap!Data"/><l>matrix</l></custom-block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>width</l><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></block><block s="doSetVar"><l>height</l><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>FITS-data</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><custom-block s="SciSnap! global property %s"><l>typeOfData</l></custom-block><l>FITS</l></list></block><custom-block s="is %s a %txt"><block var="SciSnap!Data"/><l>vector</l></custom-block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>width</l><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></block><block s="doSetVar"><l>height</l><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list required</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b1Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown start number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="b2Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown start number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="e1Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown end number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="e2Name"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown end number!</l><l>subsection of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>begin</l><block s="reportNewList"><list><block var="b1Name"/><block var="b2Name"/></list></block></block><block s="doSetVar"><l>end</l><block s="reportNewList"><list><block var="e1Name"/><block var="e2Name"/></list></block></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_subsectionImage(data,begin,end,width,height)</l><list><block var="source"/><block var="begin"/><block var="end"/><block var="width"/><block var="height"/></list></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="select rows of %&apos;table&apos; where $nl column %&apos;name&apos; is %&apos;op&apos; %&apos;value&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="138.33333333333334" collapsed="false">Determines the rows of a table with certain properties.</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input><input type="%s">numberOrName</input><input type="%s" readonly="true">less-than<options>less-than&#xD;greater-than&#xD;equal-to&#xD;different-from</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>n</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="table"/></custom-block></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>select rows of ... where ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>select rows of ... where ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>select rows of ... where ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>op</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="op"/><l><option>whitespace</option></l></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>less-than</l></list></block><script><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportListItem"><block var="n"/><l/></block><block var="value"/></list></block></autolambda><list></list></block><block var="source"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>greater-than</l></list></block><script><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><block var="n"/><l/></block><block var="value"/></list></block></autolambda><list></list></block><block var="source"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>equal-to</l></list></block><script><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="n"/><l/></block><block var="value"/></list></block></autolambda><list></list></block><block var="source"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="op"/><l>different-from</l></list></block><script><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="n"/><l/></block><block var="value"/></list></block></block></autolambda><list></list></block><block var="source"/></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="count values in %&apos;data&apos;" type="reporter" category="3. Data tools" space="true"><comment x="0" y="0" w="129.5" collapsed="false">counts the appearances of the values of a list or table.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a table or list</input></inputs><script><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table or list required!</l><l>count values in ...</l></custom-block></script><script><block s="doReport"><block s="reportListAttribute"><l><option>sorted</option></l><block s="reportListAttribute"><l><option>distribution</option></l><block s="reportListAttribute"><l><option>flatten</option></l><block var="data"/></block></block></block></block></script></block></script></block-definition><block-definition s="sort %&apos;data&apos; with predicate %&apos;fn&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="107.5" collapsed="false">Reports a sorted list.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a list</input><input type="%predRing"></input></inputs><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><block s="reportIsA"><block var="fn"/><l><option>predicate</option></l></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>lst_sort(list, fn)</l><list><block var="data"/><block var="fn"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list and predicate required!</l><l>sort ... with predicate</l></custom-block></script></block></script></block-definition><block-definition s="entropy of %&apos;data&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="168.00000000000003" collapsed="false">returns the entropy of a list of data</comment><header></header><code></code><translations></translations><inputs><input type="%s">a table or list</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doSetVar"><l>result</l><l>0</l></block><block s="doForEach"><l>item</l><custom-block s="count values in %s"><block var="data"/></custom-block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>2</l><block var="item"/></block><l>0</l></list></block><script><block s="doChangeVar"><l>result</l><block s="reportMonadic"><l><option>neg</option></l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block s="reportListItem"><l>2</l><block var="item"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block><block s="reportMonadic"><l><option>ln</option></l><block s="reportQuotient"><block s="reportListItem"><l>2</l><block var="item"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></block></block></list></block></block></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table or list required!</l><l>entropy of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;data&apos; without duplicates" type="reporter" category="3. Data tools"><comment x="0" y="0" w="222.33333333333348" 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></translations><inputs><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>... without duplicates</l></custom-block></script><script><block s="doReport"><block s="reportListAttribute"><l><option>uniques</option></l><block var="source"/></block></block></script></block></script></block></script></block-definition><block-definition s="%&apos;data&apos; normalized by %&apos;choice&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="142.5" collapsed="false">Normalizes a table by dividing it by the specified value.</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input><input type="%s">mean<options>mean&#xD;max&#xD;number&#xD;sum&#xD;median&#xD;softmax</options></input></inputs><script><block s="doDeclareVariables"><list><l>divisor</l><l>source</l><l>n</l><l>sum</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only vectors supported!</l><l>... normalized by ...</l></custom-block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>mean</l></list></block><script><block s="doSetVar"><l>divisor</l><custom-block s="%s of %s"><l>mean</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>max</l></list></block><script><block s="doSetVar"><l>divisor</l><custom-block s="%s of %s"><l>max</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>number</l></list></block><script><block s="doSetVar"><l>divisor</l><custom-block s="%s of %s"><l>number</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>sum</l></list></block><script><block s="doSetVar"><l>divisor</l><custom-block s="%s of %s"><l>sum</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>median</l></list></block><script><block s="doSetVar"><l>divisor</l><custom-block s="%s of %s"><l>median</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>softmax</l></list></block><script><block s="doReport"><custom-block s="%s of %s"><l>softmax</l><block var="source"/></custom-block></block></script><script><block s="doIfElse"><block s="reportIsA"><block var="choice"/><l><option>number</option></l></block><script><block s="doSetVar"><l>divisor</l><block var="choice"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: illegal operation!</l><l>... normalized by ...</l></custom-block></script></block></script></block></script></block></script></block></script></block></script></block></script></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="divisor"/><l>0</l></list></block></block><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportQuotient"><l></l><block var="divisor"/></block></autolambda><list></list></block><block var="source"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: divisor is 0!</l><l>... normalized by ...</l></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="%&apos;data&apos; vertical compressed $nl with factor %&apos;n&apos; by averaging" type="reporter" category="3. Data tools"><comment x="0" y="0" w="117.1428571428573" collapsed="false">Reports a vector or matrix with compressed columnsonly columns .</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>h</l><l>source</l><l>i</l><l>j</l><l>isMatrix</l><l>columnNr</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doSetVar"><l>isMatrix</l><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><custom-block s="is %s a %txt"><block var="source"/><l>vector</l></custom-block><block var="isMatrix"/></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: vector or matrix required!</l><l>... vertical compressed ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: impossible operation!</l><l>... vertical compressed ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block var="isMatrix"/></block><script><block s="doIf"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>list</option></l></block><script><block s="doSetVar"><l>source</l><l></l></block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportVariadicSum"><list><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><block var="n"/></block><l>1</l></list></block></list></block><script><block s="doSetVar"><l>h</l><block s="reportListItem"><block var="i"/><block var="source"/></block></block><block s="doSetVar"><l>j</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThanOrEquals"><list><block var="j"/><block var="n"/></list></block><script><block s="doSetVar"><l>h</l><block s="reportVariadicSum"><list><block var="h"/><block s="reportListItem"><block s="reportVariadicSum"><list><block var="i"/><block var="j"/></list></block><block var="source"/></block></list></block></block><block s="doChangeVar"><l>j</l><l>1</l></block></script></block><block s="doAddToList"><block s="reportQuotient"><block var="h"/><block var="n"/></block><block var="result"/></block><block s="doChangeVar"><l>i</l><block var="n"/></block></script></block><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doSetVar"><l>result</l><custom-block s="empty table"></custom-block></block><block s="doSetVar"><l>columnNr</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="columnNr"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block><script><custom-block s="add %s %s to %s"><l>column</l><custom-block s="%s vertical compressed %br with factor %n by averaging"><custom-block s="%s %s of %s with first item? %b"><l>column</l><block var="columnNr"/><block var="source"/><l><bool>true</bool></l></custom-block><block var="n"/></custom-block><block var="result"/></custom-block><block s="doChangeVar"><l>columnNr</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="%&apos;typeOfPooling&apos; pooling of %&apos;data&apos; $nl with stride %&apos;stride&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="140.99999999999991" collapsed="false">Pooling operation with matrices, images and vectors. On the top of the result are the new dimensions.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">max<options>max&#xD;mean</options></input><input type="%s">SciSnap!Data</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>typeOfData</l><l>width</l><l>height</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block><block s="doSetVar"><l>typeOfData</l><custom-block s="SciSnap! global property %s"><l>typeOfData</l></custom-block></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block><block s="doIfElse"><custom-block s="is %s a %txt"><block var="source"/><l>vector</l></custom-block><script><block s="doSetVar"><l>typeOfData</l><l>vector</l></block></script><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block><script><block s="doSetVar"><l>typeOfData</l><l>matrix</l></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only defined for matrices, images, and vectors!</l><l>pooling of ...</l></custom-block></script></block></script></block></script></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="stride"/><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: stride is too small!</l><l>pooling of ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>typeOfPooling</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="typeOfPooling"/><l> </l></block></block></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>matrix</l></list></block><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>vector</l></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>FITS</l></list></block><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>RGB</l></list></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only defined for images, tables, and lists!</l><l>pooling of ...</l></custom-block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>vector</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data found!</l><l>pooling of ...</l></custom-block></script><script><block s="doSetVar"><l>width</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block><block s="doSetVar"><l>height</l><l>1</l></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>matrix</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data found!</l><l>pooling of ...</l></custom-block></script><script><block s="doSetVar"><l>width</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></block><block s="doSetVar"><l>height</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>FITS</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data found!</l><l>pooling of ...</l></custom-block></script><script><block s="doSetVar"><l>width</l><l>1</l></block><block s="doSetVar"><l>height</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>RGB</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data found!</l><l>pooling of ...</l></custom-block></script><script><block s="doSetVar"><l>width</l><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></block><block s="doSetVar"><l>height</l><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></block></script></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_pooling(data,width,height,typeOfPooling,stride,typeOfData)</l><list><block var="source"/><block var="width"/><block var="height"/><block var="typeOfPooling"/><block var="stride"/><block var="typeOfData"/></list></block></block></script></block></script></block></script></block-definition><block-definition s="%&apos;table&apos; sorted by column %&apos;name&apos; $nl ascending %&apos;ascending&apos; considering headline? %&apos;withHeadline&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="101.66666666666667" collapsed="false">Sorts a list or table.</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input><input type="%s">numberOrName</input><input type="%b">true</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>result</l><l>headline</l><l>n</l><l>isTable</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doSetVar"><l>isTable</l><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><block s="doIf"><block s="reportNot"><block var="isTable"/></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables and lists supported!</l><l>... sorted by column ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="source"/></block></block><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables and lists supported!</l><l>... sorted by column ...</l></custom-block></script><list></list></block></script><list></list></block><block s="doIfElse"><block var="isTable"/><script><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="name"/><block var="source"/></custom-block></block></script><script><block s="doSetVar"><l>n</l><l>1</l></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>... sorted by column ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><custom-block s="copy of %s"><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block var="withHeadline"/></block><script><block s="doSetVar"><l>headline</l><block s="reportListItem"><l>1</l><block var="result"/></block></block><block s="doDeleteFromList"><l>1</l><block var="result"/></block></script><list></list></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="result"/></block><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="result"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>... sorted by column ...</l></custom-block></script><list></list></block><block s="doIfElse"><block var="ascending"/><script><block s="doSetVar"><l>result</l><block s="evaluate"><block s="reifyReporter"><autolambda><custom-block s="sort %s with predicate %predRing"><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportListItem"><block var="column"/><l/></block><block s="reportListItem"><block var="column"/><l/></block></list></block></autolambda><list></list></block></custom-block></autolambda><list><l>column</l></list></block><list><block var="n"/></list></block></block></script><script><block s="doSetVar"><l>result</l><block s="evaluate"><block s="reifyReporter"><autolambda><custom-block s="sort %s with predicate %predRing"><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><block var="column"/><l/></block><block s="reportListItem"><block var="column"/><l/></block></list></block></autolambda><list></list></block></custom-block></autolambda><list><l>column</l></list></block><list><block var="n"/></list></block></block></script></block></script><script><block s="doIfElse"><block var="ascending"/><script><block s="doSetVar"><l>result</l><block s="evaluate"><block s="reifyReporter"><autolambda><custom-block s="sort %s with predicate %predRing"><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></custom-block></autolambda><list><l>column</l></list></block><list><block var="n"/></list></block></block></script><script><block s="doSetVar"><l>result</l><block s="evaluate"><block s="reifyReporter"><autolambda><custom-block s="sort %s with predicate %predRing"><block var="result"/><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><l></l><l></l></list></block></autolambda><list></list></block></custom-block></autolambda><list><l>column</l></list></block><list><block var="n"/></list></block></block></script></block></script></block><block s="doIf"><block s="reportNot"><block var="withHeadline"/></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="result"/></block><l><option>list</option></l></block><script><custom-block s="add %s %s to %s"><l>column-headers</l><block var="headline"/><block var="result"/></custom-block></script><script><block s="doInsertInList"><block var="headline"/><l>1</l><block var="result"/></block></script></block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; of column %&apos;kName&apos; of %&apos;table&apos; $nl grouped by column %&apos;name&apos; considering headline? %&apos;withHeadline&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="201.66666666666666" collapsed="false">Determines a group of properties of a table.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">mean<options>min&#xD;max&#xD;number&#xD;sum&#xD;mean</options></input><input type="%s">numberOrName</input><input type="%s">SciSnap!Data</input><input type="%s">numberOrName</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>copy</l><l>source</l><l>groupcolumn</l><l>valuecolumn</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>... of column ... grouped by ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>groupcolumn</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="name"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="groupcolumn"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>... of column ... grouped by ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="groupcolumn"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="groupcolumn"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>... of column ... grouped by ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>valuecolumn</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="kName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="valuecolumn"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>... of column ... grouped by ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="valuecolumn"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="valuecolumn"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>... of column ... grouped by ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doSetVar"><l>copy</l><block s="evaluate"><block s="reifyReporter"><autolambda><custom-block s="%s sorted by column %s %br ascending %b considering headline? %b"><block var="source"/><block var="groupcolumn"/><l><bool>true</bool></l><block var="withHeadline"/></custom-block></autolambda><list></list></block><list></list></block></block><block s="doIf"><block s="reportNot"><block var="withHeadline"/></block><script><block s="doDeleteFromList"><l>1</l><block var="copy"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="copy"/></block><l>0</l></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_groupeddata(aTable,compaircolumn,operation,groupcolumn)</l><list><block var="copy"/><block var="valuecolumn"/><block var="choice"/><block var="groupcolumn"/></list></block></block></script></block></script></block-definition><block-definition s="%&apos;choice&apos; of column %&apos;xName&apos; and %&apos;yName&apos; $nl of %&apos;table&apos; considering headline? %&apos;withHeadline&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="199.42307692307688" collapsed="false">Calculates the ranges, the covariance or the correlation between two columns of a table.&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">ranges<options>ranges&#xD;covariance&#xD;correlation</options></input><input type="%s">numberOrName</input><input type="%s">numberOrName</input><input type="%s">SciSnap!Data</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>copy</l><l>n</l><l>m</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="table"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="table"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only tables supported!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doSetVar"><l>n</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="xName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="n"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doSetVar"><l>m</l><custom-block s="%s %s of %s $arrowRightOutline number"><l>column</l><block var="yName"/><block var="source"/></custom-block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="m"/><l><option>number</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown column name!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="m"/><l>1</l></list></block><block s="reportVariadicGreaterThan"><list><block var="m"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: column index out of range!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doSetVar"><l>copy</l><custom-block s="copy of %s"><block var="source"/></custom-block></block><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doIf"><block s="reportNot"><block var="withHeadline"/></block><script><block s="doDeleteFromList"><l>1</l><block var="copy"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="copy"/></block><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: bad data!</l><l>ranges/covariance ... of </l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_propertiesoftable(selection,table,x,y)</l><list><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block><block var="copy"/><block var="n"/><block var="m"/></list></block></block></script></block></script></block-definition><block-definition s="regression line parameters of %&apos;data&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="125.66666666666691" collapsed="false">Calculates the parameters of a regression line.</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>meanX</l><l>meanY</l><l>denominator</l><l>numerator</l><l>m</l><l>b</l><l>source</l><l>sumX</l><l>sumY</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix required!</l><l>regression line parameters of ...</l></custom-block></script><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block><l>2</l></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data format!</l><l>regression line parameters of ...</l></custom-block></script><list></list></block></script></block><block s="doSetVar"><l>sumX</l><l>0</l></block><block s="doSetVar"><l>sumY</l><l>0</l></block><block s="doSetVar"><l>numerator</l><l>0</l></block><block s="doSetVar"><l>denominator</l><l>0</l></block><block s="doSetVar"><l>dummy</l><block s="reportMap"><block s="reifyReporter"><script><block s="doChangeVar"><l>sumX</l><block s="reportListItem"><l>1</l><l/></block></block><block s="doChangeVar"><l>sumY</l><block s="reportListItem"><l>2</l><l/></block></block><block s="doReport"><l></l></block></script><list></list></block><block var="source"/></block></block><block s="doSetVar"><l>meanX</l><block s="reportQuotient"><block var="sumX"/><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></block><block s="doSetVar"><l>meanY</l><block s="reportQuotient"><block var="sumY"/><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></block><block s="doSetVar"><l>dummy</l><block s="reportMap"><block s="reifyReporter"><script><block s="doChangeVar"><l>numerator</l><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><l/></block><block var="meanX"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><l/></block><block var="meanY"/></block></list></block></block><block s="doChangeVar"><l>denominator</l><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><l/></block><block var="meanX"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><l/></block><block var="meanX"/></block></list></block></block><block s="doReport"><l></l></block></script><list></list></block><block var="source"/></block></block><block s="doSetVar"><l>m</l><block s="reportQuotient"><block var="numerator"/><block var="denominator"/></block></block><block s="doSetVar"><l>b</l><block s="reportDifference"><block var="meanY"/><block s="reportVariadicProduct"><list><block var="m"/><block var="meanX"/></list></block></block></block><block s="doReport"><block s="reportNewList"><list><block var="m"/><block var="b"/></list></block></block></script></block></script></block-definition><block-definition s="%&apos;k&apos; next neighbors of %&apos;point&apos; $nl in %&apos;data&apos;" type="reporter" category="3. Data tools" space="true"><comment x="0" y="0" w="229.00000000000006" collapsed="false">Determines the next k neighbours of a point in data. The classes of the points have to be in column 3. Reports a list with columns x, y, distance, class.</comment><header></header><code></code><translations></translations><inputs><input type="%n">5</input><input type="%s">2-dim point</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>neighbors</l><l>points</l><l>result</l><l>dummy</l><l>x1</l><l>y1</l><l>x2</l><l>y2</l><l>class</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>points</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>points</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="points"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table required!</l><l>k next neighbours of ...</l></custom-block></script><script><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="point"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: vector required!</l><l>k next neighbours of ...</l></custom-block></script><script><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="k"/><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: number of neighbors too small!</l><l>k next neighbours of ...</l></custom-block></script><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="point"/></block><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 2 dimensional point required!</l><l>k next neighbours of ...</l></custom-block></script><script><block s="doSetVar"><l>neighbors</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>x1</l><block s="reportListItem"><l>1</l><block var="point"/></block></block><block s="doSetVar"><l>y1</l><block s="reportListItem"><l>2</l><block var="point"/></block></block><block s="doSetVar"><l>dummy</l><block s="reportMap"><block s="reifyReporter"><script><block s="doSetVar"><l>x2</l><block s="reportListItem"><l>1</l><block var="point2"/></block></block><block s="doSetVar"><l>y2</l><block s="reportListItem"><l>2</l><block var="point2"/></block></block><block s="doSetVar"><l>class</l><block s="reportListItem"><l><option>last</option></l><block var="point2"/></block></block><block s="doAddToList"><block s="reportNewList"><list><block var="x2"/><block var="y2"/><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="x1"/><block var="x2"/></block><block s="reportDifference"><block var="x1"/><block var="x2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y1"/><block var="y2"/></block><block s="reportDifference"><block var="y1"/><block var="y2"/></block></list></block></list></block></block><block var="class"/></list></block><block var="neighbors"/></block><block s="doReport"><l></l></block></script><list><l>point2</l></list></block><block var="points"/></block></block><block s="doSetVar"><l>neighbors</l><custom-block s="%s sorted by column %s %br ascending %b considering headline? %b"><block var="neighbors"/><l>3</l><l><bool>true</bool></l><l><bool>true</bool></l></custom-block></block><block s="doReport"><custom-block s="subsection of %s in %s from %br %s %s to %s %s"><l>table-data</l><block var="neighbors"/><l>1</l><l>1</l><l>4</l><block var="k"/></custom-block></block></script></block></script></block></script></block></script></block></script></block></script></block-definition><block-definition s="convolution kernel %&apos;kernel&apos; applied $nl to %&apos;typeOfData&apos; %&apos;data&apos; width %&apos;width&apos; height %&apos;height&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="107.33333333333348" collapsed="false">Applies a convolution to a table with FITS, RGB, or table values.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a kernel</input><input type="%s" readonly="true">table<options>image&#xD;table</options></input><input type="%s">SciSnap!Data</input><input type="%n">100</input><input type="%n">100</input></inputs><script><block s="doDeclareVariables"><list><l>w</l><l>h</l><l>t</l><l>m</l><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doIfElse"><custom-block s="is %s a %txt"><block var="data"/><l>matrix</l></custom-block><script><block s="doSetVar"><l>source</l><block var="data"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data type!</l><l>convolution kernel ... applied to ...</l></custom-block></script></block></script></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><custom-block s="is %s a %txt"><block var="kernel"/><l>matrix</l></custom-block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data format!</l><l>convolution kernel ... applied to ...</l></custom-block></script><script><block s="doSetVar"><l>h</l><block s="reportListAttribute"><l><option>length</option></l><block var="kernel"/></block></block><block s="doSetVar"><l>w</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="kernel"/></block></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportNot"><block s="reportVariadicEquals"><list><block var="w"/><block var="h"/></list></block></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportVariadicProduct"><list><l>2</l><block s="reportRound"><block s="reportQuotient"><block var="w"/><l>2</l></block></block></list></block><block var="w"/></list></block><block s="reportVariadicEquals"><list><block s="reportVariadicProduct"><list><l>2</l><block s="reportRound"><block s="reportQuotient"><block var="h"/><l>2</l></block></block></list></block><block var="h"/></list></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong kernel!</l><l>convolution kernel ... applied to ...</l></custom-block></script><script><block s="doSetVar"><l>typeOfData</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="typeOfData"/><l> </l></block></block></block><block s="doSetVar"><l>m</l><block s="reportRound"><block s="reportQuotient"><block var="w"/><l>2</l></block></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="typeOfData"/><l>image</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>number</option></l></block><script><block s="doSetVar"><l>t</l><l>FITS</l></block></script><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>list</option></l></block><script><block s="doSetVar"><l>t</l><l>RGB</l></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data format!</l><l>convolution kernel ... applied to ...</l></custom-block></script></block></script></block></script><script><block s="doSetVar"><l>t</l><l>table</l></block><block s="doSetVar"><l>width</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></block><block s="doSetVar"><l>height</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></block></script></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_convolution(kernel,data,width,height,typeOfData,mIndex,kWidth)</l><list><block var="kernel"/><block var="source"/><block var="width"/><block var="height"/><block var="t"/><block var="m"/><block var="w"/></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="%&apos;k&apos; -means clustering for %&apos;data&apos; $nl with Euclidean metrics" type="reporter" category="3. Data tools"><comment x="0" y="0" w="167.33333333333348" collapsed="false">Custering of n-dimensional data with k-means-method. Cluster numbers are attached to the data.</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="SciSnap!Data"/></custom-block></block></script><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="data"/></custom-block></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: operation only defined for matrices!</l><l>k-means clusering .. Euclidean</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><block var="k"/></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: too few data!</l><l>k-means clusering .. Euclidean</l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_k-means-clustering(k,data)</l><list><block var="k"/><block var="source"/></list></block></block></script></block></script></block-definition><block-definition s="%&apos;k&apos; -means clustering for %&apos;data&apos; $nl with metric %&apos;metric&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="185.33333333333357" collapsed="false">Custering of n-dimensional data with k-means-method. A metric has to be delivered as a ringified term. Cluster numbers are attached to the data.</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%s">SciSnap!Data</input><input type="%repRing">ringified operator</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>result</l><l>minmax</l><l>dimension</l><l>centers</l><l>center</l><l>anyChanges</l><l>minDistance</l><l>distance</l><l>nearestCenter</l><l>dummy</l><l>dummy2</l><l>n</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only defined for matrices!</l><l>k-means clustering with own metric</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><block var="k"/></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: too few data!</l><l>k-means clustering with own metric</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="metric"/><l><option>reporter</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified operator for metric required!</l><l>k-means clustering with own metric</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportConcatenatedLists"><list><l/><block s="reportNewList"><list><l>0</l></list></block></list></block></block></script><list></list></block><block var="source"/><comment w="161.66666666666666" collapsed="false">add cluster number 0 to data</comment></block></block><block s="doSetVar"><l>dimension</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block></block><block s="doSetVar"><l>minmax</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block var="dimension"/><script><block s="doAddToList"><block s="reportNewList"><list><custom-block s="%s of %s"><l>min</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><block var="i"/><block var="source"/><l><bool>true</bool></l></custom-block></custom-block><custom-block s="%s of %s"><l>max</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><block var="i"/><block var="source"/><l><bool>true</bool></l></custom-block></custom-block></list></block><block var="minmax"/></block></script><comment w="175" collapsed="false">calculate min and max for all columns</comment></block><block s="doSetVar"><l>centers</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block var="k"/><script><block s="doSetVar"><l>center</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>m</l><l>1</l><block var="dimension"/><script><block s="doAddToList"><block s="reportRandom"><block s="reportListItem"><l>1</l><block s="reportListItem"><block var="m"/><block var="minmax"/></block></block><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="m"/><block var="minmax"/></block></block></block><block var="center"/></block></script><comment w="133.33333333333334" collapsed="false">choose k random centers</comment></block><block s="doAddToList"><block var="i"/><block var="center"/></block><block s="doAddToList"><block var="center"/><block var="centers"/></block></script><comment w="189.55696614583346" collapsed="false">calculate min and max for all columns</comment></block><block s="doSetVar"><l>anyChanges</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doUntil"><block s="reportNot"><block var="anyChanges"/></block><script><block s="doChangeVar"><l>n</l><l>1</l></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>2000</l></list></block><script><block s="doReport"><block var="result"/></block></script><list></list></block><block s="doSetVar"><l>anyChanges</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>dummy</l><block s="reportAtomicMap"><block s="reifyReporter"><script><block s="doSetVar"><l>minDistance</l><l>100000000</l></block><block s="doSetVar"><l>nearestCenter</l><l>0</l></block><block s="doSetVar"><l>dummy2</l><block s="reportMap"><block s="reifyReporter"><script><block s="doSetVar"><l>distance</l><block s="evaluate"><block var="metric"/><list><block var="point"/><block var="center"/></list></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="distance"/><block var="minDistance"/></list></block><script><block s="doSetVar"><l>nearestCenter</l><block s="reportListItem"><block s="reportVariadicSum"><list><block var="dimension"/><l>1</l></list></block><block var="center"/></block></block><block s="doSetVar"><l>minDistance</l><block var="distance"/></block></script><list></list></block><block s="doReport"><l></l></block></script><list><l>center</l></list></block><block var="centers"/></block></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="nearestCenter"/><block s="reportListItem"><block s="reportVariadicSum"><list><block var="dimension"/><l>1</l></list></block><block var="point"/></block></list></block><script><block s="doReplaceInList"><block s="reportVariadicSum"><list><block var="dimension"/><l>1</l></list></block><block var="point"/><block var="nearestCenter"/></block><block s="doSetVar"><l>anyChanges</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doReport"><l></l></block></script><list><l>point</l></list></block><block var="result"/></block><comment w="90" collapsed="false">build clusters</comment></block><block s="doIf"><block var="anyChanges"/><script><block s="doFor"><l>i</l><l>1</l><block var="k"/><script><block s="doSetVar"><l>dummy</l><custom-block s="select rows of %s where %br column %s is %s %s"><block var="result"/><block s="reportVariadicSum"><list><block var="dimension"/><l>1</l></list></block><l>equal-to</l><block var="i"/></custom-block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="dummy"/></block><l>0</l></list></block><script><block s="doFor"><l>m</l><l>1</l><block var="dimension"/><script><block s="doReplaceInList"><block var="m"/><block s="reportListItem"><block var="i"/><block var="centers"/></block><custom-block s="%s of %s"><l>mean</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><block var="m"/><block var="dummy"/><l><bool>true</bool></l></custom-block></custom-block></block></script></block></script><list></list></block></script><comment w="90" collapsed="false">adjust centers</comment></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="DBSCAN clustering for %&apos;data&apos; $nl radius %&apos;r&apos; minMembers %&apos;minMembers&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="177.66666666666674" collapsed="false">labels of data: -1 not visited, 0 visited, -2 noise, &gt;0 clusternr</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input><input type="%n">50</input><input type="%n">5</input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>b</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="SciSnap!Data"/></custom-block></block></script><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="data"/></custom-block></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only defined for matrices!</l><l>DBSCAN clustering</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: too few data!</l><l>DBSCAN clustering</l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_DBSCAN(data,r,minMembers)</l><list><block s="reportMap"><block s="reifyReporter"><autolambda><block s="reportConcatenatedLists"><list><l/><block s="reportNewList"><list><l>-1</l></list></block></list></block></autolambda><list></list></block><block var="source"/></block><block var="r"/><block var="minMembers"/></list></block></block></script></block></script></block-definition><block-definition s="decision tree ID3 for %&apos;data&apos; $nl with labeled data in last column" type="reporter" category="3. Data tools"><comment x="0" y="0" w="179.28571428571445" collapsed="false">reports an ID3 decision tree constructed on the base of labeled data</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data</input></inputs><script><block s="doDeclareVariables"><list><l>countedValues</l><l>information gains</l><l>newData</l><l>links</l><l>compareColumn</l><l>values</l><l>nTotal</l><l>result</l><l>source</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="SciSnap!Data"/></custom-block></block></script><script><block s="doSetVar"><l>source</l><custom-block s="copy of %s"><block var="data"/></custom-block></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block><comment w="90" collapsed="false">wrong data</comment></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table required!</l><l>decision tree ID3 for ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list><comment w="90" collapsed="false">empty dataset</comment></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: empty dataset!</l><l>decision tree ID3 for ...</l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_ID3Tree(data)</l><list><block var="source"/></list></block></block></script></block></script></block-definition><block-definition s="classify %&apos;data&apos; with ID3-tree %&apos;tree&apos;" type="reporter" category="3. Data tools"><comment x="0" y="0" w="153.28571428571422" collapsed="false">returns the class of a dataset using an ID3-decision-tree</comment><header></header><code></code><translations></translations><inputs><input type="%s">data</input><input type="%s">this ID3-tree</input></inputs><script><block s="doDeclareVariables"><list><l>colNumber</l><l>compareData</l><l>ready</l><l>i</l><l>item</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><block s="reportIsA"><block var="tree"/><l><option>list</option></l></block></list></block><comment w="68.57142857142857" collapsed="false">wrong data</comment></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR:lists required!</l><l>classify with ID3-tree</l></custom-block></script><list></list></block><block s="doSetVar"><l>compareData</l><custom-block s="copy of %s"><block var="data"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><l>leaf</l></list></block><script><block s="doReport"><block s="reportJoinWords"><list><l>result: </l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><l>leaf (unambiguous)</l></list></block><script><block s="doReport"><block s="reportJoinWords"><list><l>result (unambiguous): </l><block s="reportListItem"><l>2</l><block var="tree"/></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="tree"/></block><l>node</l></list></block><script><block s="doSetVar"><l>colNumber</l><block s="reportListItem"><l>2</l><block var="tree"/></block></block><block s="doSetVar"><l>ready</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>3</l><block var="tree"/></block></block></list></block><block var="ready"/></list></block><script><block s="doSetVar"><l>item</l><block s="reportListItem"><block var="i"/><block s="reportListItem"><l>3</l><block var="tree"/></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="colNumber"/><block var="compareData"/></block><block s="reportListItem"><l>1</l><block var="item"/></block></list></block><script><block s="doSetVar"><l>ready</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doDeleteFromList"><block var="colNumber"/><block var="compareData"/></block><block s="doReport"><custom-block s="classify %s with ID3-tree %s"><block var="compareData"/><block s="reportListItem"><l>2</l><block var="item"/></block></custom-block></block></script><list></list></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block></script><list></list></block><block s="doReport"><l>ERROR: no sensefull data to compare found!</l></block></script></block></script><scripts><script x="42" y="708.7499999999995"><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no sensefull data to compare found!</l><l>classify with ID3-tree</l></custom-block></script></scripts></block-definition><block-definition s="INFO &quot;PlotPad&quot; for dealing with diagrams" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "PlotPad for data plots"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks to use any sprite or the stage as a sketchpad for plots.&#xD;In the beginning the properties for the used "pad" are set to standard values, which can be changed by corresponding blocks.&#xD;Blocks are available for drawing the graphs of any functions as well as for plots of numerical and mixed data or histograms.&#xD;The scales can be automatically set to "pretty" values. Some examples explain how to use them.</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a PlotPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button? %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="5. PlotPad for data plots" space="true"><comment x="0" y="0" w="140.7142857142859" collapsed="false">Creates a new empty costume of the specified size and color and sets the local properties.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%txt" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;whitered&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>yIntervals</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><block var="color"/><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>PlotPad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>plots</l><block s="reportNewList"><list></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>pretty</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>start0</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>markerStyle</l><l>square</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>markerWidth</l><l>5</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>markerConnected</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>markerColor</l><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>minValue</l><l>notSet</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>maxValue</l><l>notSet</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>columns</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>rows</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scaleLeftOffset</l><l>60</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scaleRightOffset</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scaleUpperOffset</l><l>35</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scaleLowerOffset</l><l>50</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>title</l><l></l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xLabel</l><l></l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yLabel</l><l></l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>titleHeight</l><l>18</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xLabelHeight</l><l>16</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yLabelHeight</l><l>16</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xUnit</l><l></l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yUnit</l><l></l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xLeft</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xRight</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yLower</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yUpper</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doSetVar"><l>yIntervals</l><block s="reportRound"><block s="reportVariadicProduct"><list><l>6</l><block s="reportQuotient"><block var="height"/><block var="width"/></block></list></block></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="yIntervals"/><l>3</l></list></block><script><block s="doSetVar"><l>yIntervals</l><l>3</l></block></script><list></list></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXprecision</l><l>2</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYprecision</l><l>2</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXtextheight</l><l>12</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYtextheight</l><l>12</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXintervals</l><l>6</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYintervals</l><block var="yIntervals"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXstart</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYstart</l><l>-10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXstep</l><l>2</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYstep</l><l>2</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXscaling</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYscaling</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesTiclength</l><l>6</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXminitics</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYminitics</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXgrid</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYgrid</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesXcentered</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesYcentered</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesShowXscale</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>scalesShowYscale</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>plotBorder</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script><scripts><comment x="488.3364690144856" y="89.25000000000016" w="181.49372863769622" collapsed="false">Costume attributes and line attributes same as SketchPad.&#xD;&#xD;other attributes:&#xD;&#xD;plots&#xD;&#xD;marker properties:&#xD;1: marker style&#xD;2: marker width&#xD;3: marker connected&#xD;4: marker color red&#xD;5: marker color green&#xD;6: marker color blue&#xD;&#xD;data properties:&#xD;1: minValue&#xD;2: maxValue&#xD;3: columns&#xD;4: rows&#xD;&#xD;scale offsets:&#xD;1:left offset&#xD;2: right offset&#xD;3: upper offset&#xD;4: lower offset&#xD;&#xD;labels:&#xD;1: title&#xD;2: x label&#xD;3: y label&#xD;4: title height&#xD;5: x label height&#xD;6: y label height&#xD;7: x unit&#xD;8: y unit&#xD;&#xD;ranges:&#xD;1: x left&#xD;2: x right&#xD;3: y lower &#xD;4: y upper&#xD;&#xD;scale properties:&#xD;1: scales x precision&#xD;2: scales y precision&#xD;3: scales x textheight&#xD;4: scales y textheight&#xD;5: scales x intervals&#xD;6: scales y intervals&#xD;7: scales x start&#xD;8: scales y start&#xD;9: scales x step&#xD;10: scales y step&#xD;11: scales x scaling&#xD;12: scales y scaling&#xD;13: scales ticlength&#xD;14: scales x minitics&#xD;15: scales y minitics&#xD;16: scales x grid&#xD;17: scales y grid&#xD;18: scales x centered&#xD;19: scales y centered&#xD;20: scales show x scale&#xD;21: scales show y scale&#xD;22: plot border</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; a PlotPad?" type="predicate" category="5. PlotPad for data plots"><comment x="0" y="0" w="134" collapsed="false">Reports whether the sprite is configured as a PlotPad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l><option>myself</option></l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>PlotPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l>Stage</l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>PlotPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><block var="sprite"/></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>PlotPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="set PlotPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="128.97435897435886" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;plots&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;marker properties={&#xD;marker style=markerStyle&#xD;marker width=markerWidth&#xD;marker connected=markerConnected&#xD;marker color=markerColor&#xD;}&#xD;data properties={&#xD;minValue=minValue&#xD;maxValue=maxValue&#xD;columns=columns&#xD;rows=rows&#xD;}&#xD;scale offsets={&#xD;left offset=scaleLeftOffset&#xD;right offset=scaleRightOffset&#xD;upper offset=scaleUpperOffset&#xD;lower offset=scaleLowerOffset&#xD;}&#xD;labels={&#xD;title=title&#xD;x label=xLabel&#xD;y label=yLabel&#xD;title height=titleHeight&#xD;x label height=xLabelHeight&#xD;y label height=yLabelHeight&#xD;x unit=xUnit&#xD;y unit=yUnit&#xD;}&#xD;ranges={&#xD;x left=xLeft&#xD;x right=xRight&#xD;y lower=yLower&#xD;y upper=yUpper&#xD;}&#xD;scale properties={&#xD;scales x precision=scalesXprecision&#xD;scales y precision=scalesYprecision&#xD;scales x textheight=scalesXtextheight&#xD;scales y textheight=scalesYtextheight&#xD;scales x intervals=scalesXintervals&#xD;scales y intervals=scalesYintervals&#xD;scales x start=scalesXstart&#xD;scales y start=scalesYstart&#xD;scales x step=scalesXstep&#xD;scales y step=scalesYstep&#xD;scales x scaling=scalesXscaling&#xD;scales y scaling=scalesYscaling&#xD;scales ticlength=scalesTiclength&#xD;scales x minitics=scalesXminitics&#xD;scales y minitics=scalesYminitics&#xD;scales x grid=scalesXgrid&#xD;scales y grid=scalesYgrid&#xD;scales x centered=scalesXcentered&#xD;scales y centered=scalesYcentered&#xD;scales show x scale=scalesShowXscale&#xD;scales show y scale=scalesShowYscale&#xD;plot border=plotBorder&#xD;pretty formated=pretty&#xD;y-axis starts with 0=start0&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set PlotPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="PlotPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="5. PlotPad for data plots"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;plots&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;marker properties={&#xD;marker style=markerStyle&#xD;marker width=markerWidth&#xD;marker connected=markerConnected&#xD;marker color=markerColor&#xD;}&#xD;data properties={&#xD;minValue=minValue&#xD;maxValue=maxValue&#xD;columns=columns&#xD;rows=rows&#xD;}&#xD;scale offsets={&#xD;left offset=scaleLeftOffset&#xD;right offset=scaleRightOffset&#xD;upper offset=scaleUpperOffset&#xD;lower offset=scaleLowerOffset&#xD;}&#xD;labels={&#xD;title=title&#xD;x label=xLabel&#xD;y label=yLabel&#xD;title height=titleHeight&#xD;x label height=xLabelHeight&#xD;y label height=yLabelHeight&#xD;x unit=xUnit&#xD;y unit=yUnit&#xD;}&#xD;ranges={&#xD;x left=xLeft&#xD;x right=xRight&#xD;y lower=yLower&#xD;y upper=yUpper&#xD;}&#xD;scale properties={&#xD;scales x precision=scalesXprecision&#xD;scales y precision=scalesYprecision&#xD;scales x textheight=scalesXtextheight&#xD;scales y textheight=scalesYtextheight&#xD;scales x intervals=scalesXintervals&#xD;scales y intervals=scalesYintervals&#xD;scales x start=scalesXstart&#xD;scales y start=scalesYstart&#xD;scales x step=scalesXstep&#xD;scales y step=scalesYstep&#xD;scales x scaling=scalesXscaling&#xD;scales y scaling=scalesYscaling&#xD;scales ticlength=scalesTiclength&#xD;scales x minitics=scalesXminitics&#xD;scales y minitics=scalesYminitics&#xD;scales x grid=scalesXgrid&#xD;scales y grid=scalesYgrid&#xD;scales x centered=scalesXcentered&#xD;scales y centered=scalesYcentered&#xD;scales show x scale=scalesShowXscale&#xD;scales show y scale=scalesShowYscale&#xD;plot border=plotBorder&#xD;pretty formated=pretty&#xD;y-axis starts with 0=start0&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>PlotPadProperty of ...</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>PlotPadProperty of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set PlotPad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl back color: %&apos;backcolor&apos; front color: %&apos;frontcolor&apos; $nl offsets: %&apos;leftOffset&apos; %&apos;upperOffset&apos; on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="120.32706197102907" collapsed="false">a simple way to set some costume attributes:&#xD;1: width&#xD;2: height&#xD;3: back color&#xD;4: front color&#xD;5: left offset for plot&#xD;    position on stage&#xD;6: upper offset for plot&#xD;    position on stage&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%mult%s"></input><input type="%n">0</input><input type="%n">0</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad costume properties</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>costumeWidth</l><l>theStage</l><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>costumeHeight</l><l>theStage</l><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>backColor</l><l>theStage</l><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="backcolor"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>offsets</l><l>theStage</l><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>frontColor</l><l>theStage</l><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="frontcolor"/></custom-block></custom-block></script><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block var="height"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="backcolor"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>frontColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="frontcolor"/></custom-block></custom-block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="width"/><block var="height"/><custom-block s="PlotPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set PlotPad labels on %&apos;sprite&apos; to $nl title: %&apos;newTitle&apos; titleheight: %&apos;tHeight&apos; $nl x-label: %&apos;newXLabel&apos; xLabelheight: %&apos;xHeight&apos; $nl y-label: %&apos;newYLabel&apos; yLabelheight: %&apos;yHeight&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="140.3846153846154" collapsed="false">Sets the labels and textheights of the diagrams of a PlotPad and redraws them.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%txt">Diagram Title</input><input type="%n">18</input><input type="%txt">x-label</input><input type="%n">16</input><input type="%txt">y-label</input><input type="%n">16</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad labels</l></custom-block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>title</l><block var="target"/><block var="newTitle"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLabel</l><block var="target"/><block var="newXLabel"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLabel</l><block var="target"/><block var="newYLabel"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>titleHeight</l><block var="target"/><block var="tHeight"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLabelHeight</l><block var="target"/><block var="xHeight"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLabelHeight</l><block var="target"/><block var="yHeight"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set PlotPad line properties style: %&apos;style&apos; $nl width: %&apos;lineWidth&apos; color: %&apos;color&apos; on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="105.68386840820362" collapsed="false">a simple way to set some net attributes:&#xD;line properties:&#xD;1: line style&#xD;2: lineWidth&#xD;3: line color red&#xD;4: line color green&#xD;5: lineColor blue</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">continuous<options>continuous&#xD;dashed&#xD;dash-dot&#xD;dot-dot&#xD;rainbow&#xD;inverse-rainbow</options></input><input type="%n">1</input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad line properties</l></custom-block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>lineStyle</l><block var="target"/><block var="style"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><block var="lineWidth"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block></script></block></script></block-definition><block-definition s="set PlotPad marker properties style: %&apos;style&apos; width: %&apos;width&apos; $nl color: %&apos;color&apos; connected? %&apos;connected&apos; on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="105.68386840820362" collapsed="false">a simple way to set some net attributes:&#xD;marker properties:&#xD;1: marker style&#xD;2: marker width&#xD;3: marker connected&#xD;4: marker color red&#xD;5: marker color green&#xD;6: marker color blue</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">square<options>none&#xD;o_circle&#xD;._point&#xD;+_plus&#xD;x_ex&#xD;square&#xD;triangle</options></input><input type="%n">5</input><input type="%mult%s"></input><input type="%b">false</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad marker properties</l></custom-block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>markerStyle</l><block var="target"/><block var="style"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>markerWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>markerConnected</l><block var="target"/><block var="connected"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>markerColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block></script></block></script></block-definition><block-definition s="set PlotPad scale properties precision: %&apos;xprecision&apos; %&apos;yprecision&apos; $nl textheight: %&apos;xtextheight&apos; %&apos;ytextheight&apos; number of intervals: %&apos;nx&apos; %&apos;ny&apos; $nl on %&apos;sprite&apos; pretty formated? %&apos;pretty&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="152.3076923076923" collapsed="false">Sets some properties for scales and redraws them.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">2</input><input type="%n">12</input><input type="%n">12</input><input type="%n">10</input><input type="%n">10</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>scaleProperties</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad scale properties</l></custom-block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXprecision</l><block var="target"/><block var="xprecision"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYprecision</l><block var="target"/><block var="yprecision"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXtextheight</l><block var="target"/><block var="xtextheight"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYtextheight</l><block var="target"/><block var="ytextheight"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXintervals</l><block var="target"/><block var="nx"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYintervals</l><block var="target"/><block var="ny"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstart</l><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXminitics</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstart</l><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYminitics</l><block var="target"/><l>1</l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set PlotPad offsets from edges on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="187.1666676666667" collapsed="false">Sets the distances of the diagram axes to the edges of the Sketchpad.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>leftOffset</l><l>rightOffset</l><l>target</l><l>upperOffset</l><l>lowerOffset</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad offsets</l></custom-block></script><list></list></block><block s="doSetVar"><l>upperOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><custom-block s="PlotPadProperty %txt of %txt"><l>title</l><block var="target"/></custom-block></block><l>0</l></list></block><script><block s="doChangeVar"><l>upperOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>titleHeight</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block><l>0</l></list></block><script><block s="doChangeVar"><l>upperOffset</l><block s="reportVariadicProduct"><list><l>-1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doSetVar"><l>lowerOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportNot"><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYcentered</l><block var="target"/></custom-block></block><script><block s="doChangeVar"><l>lowerOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><custom-block s="PlotPadProperty %txt of %txt"><l>xLabel</l><block var="target"/></custom-block></block><l>0</l></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXscaling</l><block var="target"/></custom-block><l>0.99</l></list></block><block s="reportVariadicGreaterThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXscaling</l><block var="target"/></custom-block><l>1.01</l></list></block></list></block></list></block><script><block s="doChangeVar"><l>lowerOffset</l><block s="reportVariadicProduct"><list><l>1.5</l><custom-block s="PlotPadProperty %txt of %txt"><l>xLabelHeight</l><block var="target"/></custom-block></list></block></block></script><list></list></block></script><list></list></block><block s="doSetVar"><l>rightOffset</l><block s="reportVariadicProduct"><list><l>1.5</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block><l>0</l></list></block><script><block s="doChangeVar"><l>rightOffset</l><block s="reportVariadicProduct"><list><l>-1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doSetVar"><l>leftOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportNot"><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXcentered</l><block var="target"/></custom-block></block><script><block s="doChangeVar"><l>leftOffset</l><block s="reportVariadicProduct"><list><l>3</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYtextheight</l><block var="target"/></custom-block></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><custom-block s="PlotPadProperty %txt of %txt"><l>yLabel</l><block var="target"/></custom-block></block><l>0</l></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYscaling</l><block var="target"/></custom-block><l>0.99</l></list></block><block s="reportVariadicGreaterThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYscaling</l><block var="target"/></custom-block><l>1.01</l></list></block></list></block></list></block><script><block s="doChangeVar"><l>leftOffset</l><block s="reportVariadicProduct"><list><l>1</l><custom-block s="PlotPadProperty %txt of %txt"><l>yLabelHeight</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block><l>0</l></list></block><script><block s="doChangeVar"><l>leftOffset</l><block s="reportVariadicProduct"><list><l>-1</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesTiclength</l><block var="target"/></custom-block></list></block></block></script><list></list></block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scaleLeftOffset</l><block var="target"/><block var="leftOffset"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scaleRightOffset</l><block var="target"/><block var="rightOffset"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scaleUpperOffset</l><block var="target"/><block var="upperOffset"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scaleLowerOffset</l><block var="target"/><block var="lowerOffset"/></custom-block></script></block></script></block-definition><block-definition s="set PlotPad ranges for x: %&apos;xLeft&apos; %&apos;xRight&apos; y: %&apos;yLower&apos; %&apos;yUpper&apos; $nl with border? %&apos;border&apos; of %&apos;percent&apos; on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="119.1666666666667" collapsed="false">Sets the ranges for the axes of the diagrams of a PlotPad and redraws it..</comment><header></header><code></code><translations></translations><inputs><input type="%n">-10</input><input type="%n">10</input><input type="%n">-10</input><input type="%n">10</input><input type="%b">false</input><input type="%n">0.1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>dx</l><l>dy</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set PlotPad ranges</l></custom-block></script><list></list></block><block s="doIfElse"><block var="border"/><script><block s="doSetVar"><l>dx</l><block s="reportVariadicProduct"><list><block var="percent"/><block s="reportDifference"><block var="xRight"/><block var="xLeft"/></block></list></block></block><block s="doSetVar"><l>dy</l><block s="reportVariadicProduct"><list><block var="percent"/><block s="reportDifference"><block var="yUpper"/><block var="yLower"/></block></list></block></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLeft</l><block var="target"/><block s="reportDifference"><block var="xLeft"/><block var="dx"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xRight</l><block var="target"/><block s="reportVariadicSum"><list><block var="xRight"/><block var="dx"/></list></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><block s="reportDifference"><block var="yLower"/><block var="dy"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yUpper</l><block var="target"/><block s="reportVariadicSum"><list><block var="yUpper"/><block var="dy"/></list></block></custom-block></script><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLeft</l><block var="target"/><block var="xLeft"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xRight</l><block var="target"/><block var="xRight"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><block var="yLower"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yUpper</l><block var="target"/><block var="yUpper"/></custom-block></script></block><block s="doIfElse"><custom-block s="PlotPadProperty %txt of %txt"><l>pretty</l><block var="target"/></custom-block><script><custom-block s="set pretty ranges on PlotPad %txt"><block var="target"/></custom-block></script><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstart</l><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXminitics</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstart</l><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYminitics</l><block var="target"/><l>1</l></custom-block><custom-block s="clear %txt on %s"><l>costume</l><block var="target"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block></script></block-definition><block-definition s="add graph %&apos;aFunction&apos; to PlotPad %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots" space="true"><comment x="0" y="0" w="220" collapsed="false">Draws the graph of a function given as rigified Snap!-function or coefficient-list of a polynomial. </comment><header></header><code></code><translations></translations><inputs><input type="%s">ringified operator or polynomial</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>oldPlots</l><l>isNew</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>add graph to PlotPad</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="aFunction"/><l><option>reporter</option></l></block><custom-block s="is %s a %txt"><block var="aFunction"/><l>vector</l></custom-block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="evaluate"><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>SciS_addGraphToPlotpad(costume,properties,aFunction,proc)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="aFunction"/></list></block></autolambda><list></list></block><list></list></block></list></block><block s="doSetVar"><l>oldPlots</l><custom-block s="PlotPadProperty %txt of %txt"><l>plots</l><block var="target"/></custom-block></block><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doForEach"><l>entry</l><block var="oldPlots"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="entry"/></block><l>function</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="entry"/></block><block var="aFunction"/></list></block></list></block><script><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doIf"><block var="isNew"/><script><block s="doAddToList"><block s="reportNewList"><list><l>function</l><block var="aFunction"/></list></block><block var="oldPlots"/></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>plots</l><block var="target"/><block var="oldPlots"/></custom-block></script><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: ringified operator necessary!</l><l>add graph to PlotPad</l></custom-block></script></block></script></block-definition><block-definition s="add dataplot of numeric data: %&apos;data&apos; to PlotPad %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="195.83333333333334" collapsed="false">Draws the data points of a two-dimensional table with numerical values. With a lot of additions from Rick Hessman. Thanks!</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>target</l><l>oldPlots</l><l>isNew</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>add numeric dataplot to PlotPad</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>myData</l></list></block><script><block s="doSetVar"><l>source</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block><l>2</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only matrices supported!</l><l>add numeric dataplot to PlotPad</l></custom-block></script><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_addNumericDataplotToPlotPad(costume,properties,data)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="source"/></list></block></list></block></script></block><block s="doSetVar"><l>oldPlots</l><custom-block s="PlotPadProperty %txt of %txt"><l>plots</l><block var="target"/></custom-block></block><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doForEach"><l>entry</l><block var="oldPlots"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="entry"/></block><l>numericData</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="entry"/></block><block var="source"/></list></block></list></block><script><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doIf"><block var="isNew"/><script><block s="doAddToList"><block s="reportNewList"><list><l>numericData</l><block var="source"/></list></block><block var="oldPlots"/></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>plots</l><block var="target"/><block var="oldPlots"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="add dataplot of mixed data: %&apos;data&apos; $nl y-scale? %&apos;yScaled&apos; x-scale? %&apos;xScaled&apos; to PlotPad %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="208.33333333333334" collapsed="false">Draws the data points of a two-dimensional table with numerical values in column 2. &#xD;Text values should be used to set the x-label.</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%b">true</input><input type="%b">true</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>source</l><l>target</l><l>oldPlots</l><l>isNew</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>add mixed dataplot to PlotPad</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>myData</l></list></block><script><block s="doSetVar"><l>source</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>table</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table data necessary!</l><l>add mixed dataplot to PlotPad</l></custom-block></script><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesShowXscale</l><block var="target"/><block var="xScaled"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesShowYscale</l><block var="target"/><block var="yScaled"/></custom-block><custom-block s="clear %txt on %s"><l>costume</l><block var="target"/></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_addMixedDataplotToPlotPad(costume,properties,data)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="source"/></list></block></list></block><block s="doSetVar"><l>oldPlots</l><custom-block s="PlotPadProperty %txt of %txt"><l>plots</l><block var="target"/></custom-block></block><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doForEach"><l>entry</l><block var="oldPlots"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="entry"/></block><l>mixedData</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="entry"/></block><block var="source"/></list></block></list></block><script><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doIf"><block var="isNew"/><script><block s="doAddToList"><block s="reportNewList"><list><l>mixedData</l><block var="source"/></list></block><block var="oldPlots"/></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>plots</l><block var="target"/><block var="oldPlots"/></custom-block></script><list></list></block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block></script></block-definition><block-definition s="add histogram of %&apos;data&apos; with %&apos;n&apos; groups $nl to PlotPad %&apos;sprite&apos; y-axis starting with 0? %&apos;start0&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="146.33333333333326" collapsed="false">Draws a histogram of histogram data.With a lot of additions by Rick Hessman. Thanks!</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%n">10</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>ranges</l><l>pretty</l><l>dx</l><l>source</l><l>min</l><l>max</l><l>result</l><l>target</l><l>delta</l><l>h</l><l>i</l><l>x</l><l>oldPlots</l><l>isNew</l><l>histgramData</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>add histogram to PlotPad</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>myData</l></list></block><script><block s="doSetVar"><l>source</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: vector required!</l><l>add histogram to PlotPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: empty data!</l><l>add histogram to PlotPad</l></custom-block></script><list></list></block><custom-block s="clear %txt on %s"><l>costume</l><block var="target"/></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>start0</l><block var="target"/><block var="start0"/></custom-block><block s="doIf"><custom-block s="is %s a %txt"><block var="source"/><l>transposed-vector</l></custom-block><script><block s="doSetVar"><l>source</l><custom-block s="transpose %s"><block var="source"/></custom-block></block></script><list></list></block><block s="doSetVar"><l>min</l><block s="reportCombine"><block var="source"/><block s="reifyReporter"><autolambda><block s="reportVariadicMin"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block><block s="doSetVar"><l>max</l><block s="reportCombine"><block var="source"/><block s="reifyReporter"><autolambda><block s="reportVariadicMax"><list><l></l><l></l></list></block></autolambda><list></list></block></block></block><block s="doSetVar"><l>delta</l><block s="reportQuotient"><block s="reportDifference"><block var="max"/><block var="min"/></block><block var="n"/></block></block><block s="doSetVar"><l>h</l><block s="reportVariadicSum"><list><block var="min"/><block s="reportQuotient"><block var="delta"/><l>2</l></block></list></block></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="n"/><script><block s="doAddToList"><block s="reportNewList"><list><block var="h"/><l>0</l></list></block><block var="result"/></block><block s="doChangeVar"><l>h</l><block var="delta"/></block></script></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></list></block><script><block s="doSetVar"><l>x</l><block s="reportListItem"><block var="i"/><block var="source"/></block></block><block s="doSetVar"><l>h</l><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportDifference"><block var="x"/><block var="min"/></block><block var="delta"/></block></block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="h"/><l>1</l></list></block><script><block s="doSetVar"><l>h</l><l>1</l></block></script><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="h"/><block var="n"/></list></block><script><block s="doSetVar"><l>h</l><block var="n"/></block></script><list></list></block></script></block><block s="doReplaceInList"><l>2</l><block s="reportListItem"><block var="h"/><block var="result"/></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block s="reportListItem"><block var="h"/><block var="result"/></block></block><l>1</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>histgramData</l><block var="result"/></block><custom-block s="get ranges for PlotPad %txt %br from %s with border %n"><block var="target"/><block var="histgramData"/><l>0</l></custom-block><block s="doIf"><block var="start0"/><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><l>0</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstart</l><block var="target"/><l>0</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYintervals</l><block var="target"/></custom-block></block></custom-block></script><list></list></block><block s="doIf"><custom-block s="PlotPadProperty %txt of %txt"><l>pretty</l><block var="target"/></custom-block><script><custom-block s="set pretty ranges on PlotPad %txt"><block var="target"/></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_addHistogramToPlotpad(costume,properties,data)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="histgramData"/></list></block></list></block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block><block s="doSetVar"><l>oldPlots</l><custom-block s="PlotPadProperty %txt of %txt"><l>plots</l><block var="target"/></custom-block></block><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doForEach"><l>entry</l><block var="oldPlots"/><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="entry"/></block><l>histogram</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="entry"/></block><block var="source"/></list></block></list></block><script><block s="doSetVar"><l>isNew</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block><block s="doIf"><block var="isNew"/><script><block s="doAddToList"><block s="reportNewList"><list><l>histogram</l><block var="source"/><block var="n"/></list></block><block var="oldPlots"/></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>plots</l><block var="target"/><block var="oldPlots"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="add axes and scales to PlotPad %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="226.3153515625" collapsed="false">Draws and labels the axes of a PlotPad.&#xD;With lot of additions of Rick Hessman. Thanks!</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>add axes und scales to PlotPad</l></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_addAxesAndScalesToPlotpad(costume,properties)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="clear %&apos;choice&apos; on %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots" space="true"><comment x="0" y="0" w="90" collapsed="false">Clears the plot area of a PlotPad.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">plotArea<options>plotArea&#xD;plotData&#xD;costume</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>oldFillColor</l><l>closeButtonSize</l><l>width</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>clear plot on PlotPad</l></custom-block></script><list></list></block><block s="doSetVar"><l>oldFillColor</l><custom-block s="PlotPadProperty %txt of %txt"><l>fillColor</l><block var="target"/></custom-block></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>fillColor</l><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>plotArea</l></list></block><script><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><block s="reportVariadicSum"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block><l>1</l></list></block><block s="reportVariadicSum"><list><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block><l>1</l></list></block></list><list><block s="reportDifference"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleRightOffset</l><block var="target"/></custom-block></block><l>1</l></block><block s="reportDifference"><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLowerOffset</l><block var="target"/></custom-block></block><l>1</l></block></list><block var="target"/><l><bool>false</bool></l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>costume</l></list></block><script><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><l>1</l><l>1</l></list><list><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><l>1</l></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><l>1</l></block></list><block var="target"/><l><bool>false</bool></l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>plotData</l></list></block><script><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>plots</l><block var="target"/><block s="reportNewList"><list></list></block></custom-block></script><list></list></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>fillColor</l><block var="target"/><block var="oldFillColor"/></custom-block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="restore PlotPad content of %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="171.33333333333334" collapsed="false">Restores the last plotson the PlotPad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>restore PlotPad content</l></custom-block></script><list></list></block><block s="doForEach"><l>plot</l><custom-block s="PlotPadProperty %txt of %txt"><l>plots</l><block var="target"/></custom-block><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="plot"/></block><l>function</l></list></block><script><custom-block s="add graph %s to PlotPad %txt"><block s="reportListItem"><l>2</l><block var="plot"/></block><block var="target"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="plot"/></block><l>numericData</l></list></block><script><custom-block s="add dataplot of numeric data: %s to PlotPad %txt"><block s="reportListItem"><l>2</l><block var="plot"/></block><block var="target"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="plot"/></block><l>mixedData</l></list></block><script><custom-block s="add dataplot of mixed data: %s %br y-scale? %b x-scale? %b to PlotPad %txt"><block s="reportListItem"><l>2</l><block var="plot"/></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesShowYscale</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesShowXscale</l><block var="target"/></custom-block><block var="target"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="plot"/></block><l>histogram</l></list></block><script><custom-block s="add histogram of %s with %n groups %br to PlotPad %txt y-axis starting with 0? %b"><block s="reportListItem"><l>2</l><block var="plot"/></block><block s="reportListItem"><l>3</l><block var="plot"/></block><block var="target"/><custom-block s="PlotPadProperty %txt of %txt"><l>pretty</l><block var="target"/></custom-block></custom-block></script><list></list></block></script></block></script></block></script></block-definition><block-definition s="set pretty ranges on PlotPad %&apos;sprite&apos;" type="command" category="5. PlotPad for data plots"><comment x="0" y="0" w="311.3333333333333" collapsed="false">Sets the ranges to &quot;pretty&quot; values. Many thanks to Rick Hessman!</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>pretty</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>set pretty ranges on PlotPad</l></custom-block></script><list></list></block><block s="doSetVar"><l>pretty</l><custom-block s="pretty values for a PlotPad from %n %br to %n with %n intervals"><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXintervals</l><block var="target"/></custom-block></custom-block><comment w="156.80952380952382" collapsed="false">get dictionary of pretty x-values.</comment></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstart</l><block var="target"/><block s="reportListItem"><l>start</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstep</l><block var="target"/><block s="reportListItem"><l>step</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXscaling</l><block var="target"/><block s="reportListItem"><l>scaling</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXintervals</l><block var="target"/><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block s="reportVariadicProduct"><list><l>6</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXtextheight</l><block var="target"/></custom-block></list></block></block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXprecision</l><block var="target"/><block s="reportListItem"><l>precision</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXminitics</l><block var="target"/><block s="reportListItem"><l>minitics</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLeft</l><block var="target"/><block s="reportListItem"><l>start</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xRight</l><block var="target"/><block s="reportListItem"><l>stop</l><block var="pretty"/></block></custom-block><block s="doSetVar"><l>pretty</l><custom-block s="pretty values for a PlotPad from %n %br to %n with %n intervals"><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYintervals</l><block var="target"/></custom-block></custom-block><comment w="156.80952380952382" collapsed="false">get dictionary of pretty y-values.</comment></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstart</l><block var="target"/><block s="reportListItem"><l>start</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstep</l><block var="target"/><block s="reportListItem"><l>step</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYscaling</l><block var="target"/><block s="reportListItem"><l>scaling</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYintervals</l><block var="target"/><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block s="reportVariadicProduct"><list><l>8</l><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYtextheight</l><block var="target"/></custom-block></list></block></block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYprecision</l><block var="target"/><block s="reportListItem"><l>precision</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYminitics</l><block var="target"/><block s="reportListItem"><l>minitics</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><block s="reportListItem"><l>start</l><block var="pretty"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yUpper</l><block var="target"/><block s="reportListItem"><l>stop</l><block var="pretty"/></block></custom-block><custom-block s="clear %txt on %s"><l>costume</l><block var="target"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="pretty values for a PlotPad from %&apos;min&apos; $nl to %&apos;max&apos; with %&apos;num&apos; intervals" type="reporter" category="5. PlotPad for data plots"><comment x="0" y="0" w="164.33333333333317" collapsed="false">&quot;Pretty&quot; scaling from Rick Hessman. Many thanks!</comment><header></header><code></code><translations></translations><inputs><input type="%n">-10</input><input type="%n">10</input><input type="%n">6</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>sign</l><l>pretty</l><l>between</l><l>places</l><l>delta</l><l>dtic</l><l>scaling</l><l>index</l><l>n</l><l>result</l><l>nint</l></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="num"/><l>3</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: num-value &lt;3 senseless</l><l>pretty values for a PlotPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportMonadic"><l><option>abs</option></l><block var="min"/></block><l>2000</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportMonadic"><l><option>abs</option></l><block var="max"/></block><l>2000</l></list></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doAddToList"><block s="reportNewList"><list><l>start</l><block var="min"/></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>stop</l><block var="max"/></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>step</l><block s="reportQuotient"><block s="reportDifference"><block var="max"/><block var="min"/></block><block var="num"/></block></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>scaling</l><l>1</l></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>intervals</l><block var="num"/></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>precision</l><l>0</l></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>minitics</l><l>1</l></list></block><block var="result"/></block><block s="doReport"><block var="result"/></block></script><list></list><comment w="196.32285529908663" collapsed="false">Numbers are too big for pretty printing.</comment></block><block s="doSetVar"><l>nint</l><block var="num"/></block><block s="doSetVar"><l>pretty</l><block s="reportNewList"><list><l>0.001</l><l>0.002</l><l>0.005</l><l>0.01</l><l>0.02</l><l>0.05</l><l>0.1</l><l>0.2</l><l>0.5</l><l>1</l><l>2</l><l>5</l><l>10</l><l>20</l><l>50</l><l>100</l><l>200</l><l>500</l><l>1000</l><l>2000</l></list></block></block><block s="doSetVar"><l>between</l><block s="reportNewList"><list><l>9</l><l>1</l><l>3</l><l>4</l><l>1</l><l>3</l><l>4</l><l>1</l><l>3</l><l>4</l><l>1</l><l>3</l><l>4</l><l>1</l><l>3</l><l>4</l><l>1</l><l>3</l><l>4</l><l>1</l></list></block></block><block s="doSetVar"><l>places</l><block s="reportNewList"><list><l>3</l><l>3</l><l>3</l><l>2</l><l>2</l><l>2</l><l>1</l><l>1</l><l>1</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l></list></block></block><block s="doSetVar"><l>sign</l><block s="reportMonadic"><l><option>sign</option></l><block s="reportDifference"><block var="max"/><block var="min"/></block></block></block><block s="doRepeat"><l>2</l><script><block s="doSetVar"><l>delta</l><block s="reportMonadic"><l><option>abs</option></l><block s="reportQuotient"><block s="reportDifference"><block var="max"/><block var="min"/></block><block var="nint"/></block></block></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="delta"/><l>0.001</l></list></block><block s="reportVariadicLessThan"><list><block var="delta"/><l>2000</l></list></block></list></block><script><block s="doSetVar"><l>scaling</l><l>1</l></block></script><script><block s="doSetVar"><l>scaling</l><block s="reportMonadic"><l><option>10^</option></l><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>log</option></l><block s="reportVariadicProduct"><list><l>0.5</l><block s="reportVariadicSum"><list><block s="reportMonadic"><l><option>abs</option></l><block var="max"/></block><block s="reportMonadic"><l><option>abs</option></l><block var="min"/></block></list></block></list></block></block></block></block></block></script></block><block s="doSetVar"><l>index</l><l>1</l></block><block s="doFor"><l>i</l><l>2</l><block s="reportListAttribute"><l><option>length</option></l><block var="pretty"/></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="delta"/><block s="reportVariadicProduct"><list><block s="reportListItem"><block var="i"/><block var="pretty"/></block><block var="scaling"/></list></block></list></block><script><block s="doSetVar"><l>index</l><block var="i"/></block></script><list></list></block></script></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicLessThan"><list><block var="index"/><block s="reportListAttribute"><l><option>length</option></l><block var="pretty"/></block></list></block><block s="reportVariadicGreaterThan"><list><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="delta"/><block s="reportVariadicProduct"><list><block s="reportListItem"><block var="index"/><block var="pretty"/></block><block var="scaling"/></list></block></block></block><block s="reportMonadic"><l><option>abs</option></l><block s="reportDifference"><block var="delta"/><block s="reportVariadicProduct"><list><block s="reportListItem"><block s="reportVariadicSum"><list><block var="index"/><l>1</l></list></block><block var="pretty"/></block><block var="scaling"/></list></block></block></block></list></block></list></block><script><block s="doSetVar"><l>index</l><block s="reportVariadicSum"><list><block var="index"/><l>1</l></list></block></block></script><list></list></block><block s="doSetVar"><l>dtic</l><block s="reportVariadicProduct"><list><block s="reportListItem"><block var="index"/><block var="pretty"/></block><block var="sign"/></list></block></block><block s="doSetVar"><l>nint</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportMonadic"><l><option>abs</option></l><block s="reportQuotient"><block s="reportDifference"><block var="max"/><block var="min"/></block><block s="reportVariadicProduct"><list><block var="dtic"/><block var="scaling"/></list></block></block></block></block></block></script></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>delta</l><block s="reportVariadicProduct"><list><block var="dtic"/><block var="scaling"/></list></block></block><block s="doSetVar"><l>n</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><block var="min"/><block var="delta"/></block></block></block><block s="doAddToList"><block s="reportNewList"><list><l>start</l><block s="reportVariadicProduct"><list><block var="n"/><block var="dtic"/></list></block></list><comment w="192.76999879201261" collapsed="false">start*scaling is the actual starting value (start is the value displayed next to the tic)</comment></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>stop</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="n"/><block var="dtic"/></list></block><block s="reportVariadicProduct"><list><block s="reportVariadicSum"><list><block var="nint"/><l>1</l></list></block><block var="dtic"/></list></block></list></block></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>step</l><block var="dtic"/></list></block><block var="result"/><comment w="392.5133314895631" collapsed="false">step*scaling is the actual stepping value (step is the difference between the tic labels).</comment></block><block s="doAddToList"><block s="reportNewList"><list><l>scaling</l><block var="scaling"/></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>intervals</l><block var="nint"/></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>precision</l><block s="reportListItem"><block var="index"/><block var="places"/></block></list></block><block var="result"/></block><block s="doAddToList"><block s="reportNewList"><list><l>minitics</l><block s="reportListItem"><block var="index"/><block var="between"/></block></list></block><block var="result"/></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="get ranges for PlotPad %&apos;sprite&apos; $nl from %&apos;data&apos; with border %&apos;percent&apos;" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s">myData</input><input type="%n">0.1</input></inputs><script><block s="doDeclareVariables"><list><l>ranges</l><l>dx</l><l>dy</l><l>source</l><l>target</l><l>scaleProperties</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>get ranges for PlotPad</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>myData</l></list></block><script><block s="doSetVar"><l>source</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data!</l><l>get ranges for PlotPad</l></custom-block></script><script><block s="doSetVar"><l>ranges</l><custom-block s="ranges of 2-dim table %l"><block var="source"/></custom-block></block><block s="doSetVar"><l>dx</l><block s="reportVariadicProduct"><list><block var="percent"/><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="ranges"/></block><block s="reportListItem"><l>1</l><block var="ranges"/></block></block></list></block></block></script></block><block s="doSetVar"><l>dy</l><block s="reportVariadicProduct"><list><block var="percent"/><block s="reportDifference"><block s="reportListItem"><l>4</l><block var="ranges"/></block><block s="reportListItem"><l>3</l><block var="ranges"/></block></block></list></block></block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xLeft</l><block var="target"/><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="ranges"/></block><block var="dx"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>xRight</l><block var="target"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="ranges"/></block><block var="dx"/></list></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><block s="reportDifference"><block s="reportListItem"><l>3</l><block var="ranges"/></block><block var="dy"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>yUpper</l><block var="target"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>4</l><block var="ranges"/></block><block var="dy"/></list></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstart</l><block var="target"/><block s="reportListItem"><l>1</l><block var="ranges"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="ranges"/></block><block s="reportListItem"><l>1</l><block var="ranges"/></block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesXintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesXminitics</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstart</l><block var="target"/><block s="reportListItem"><l>3</l><block var="ranges"/></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYstep</l><block var="target"/><block s="reportQuotient"><block s="reportDifference"><block s="reportListItem"><l>4</l><block var="ranges"/></block><block s="reportListItem"><l>3</l><block var="ranges"/></block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scalesYintervals</l><block var="target"/></custom-block></block></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYscaling</l><block var="target"/><l>1</l></custom-block><custom-block s="set PlotPadProperty %txt of %txt to %s"><l>scalesYminitics</l><block var="target"/><l>1</l></custom-block></script></block></script></block-definition><block-definition s="ranges of 2-dim table %&apos;data&apos;" type="reporter" category="5. PlotPad for data plots" helper="true"><comment x="0" y="0" w="218.33333333333312" collapsed="false">Calculates the ranges of two columns of a table.&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>matrix</l></custom-block></block><script><block s="doReport"><l>ERROR: matrix required!</l></block></script><script><block s="doIfElse"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>2</l></list></block></block><script><block s="doReport"><l>ERROR: 2-dimensional matrix required!</l></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportCombine"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="data"/><l><bool>true</bool></l></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicMin"><list><l></l><l></l></list></block></autolambda><list></list></block></block><block s="reportCombine"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="data"/><l><bool>true</bool></l></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicMax"><list><l></l><l></l></list></block></autolambda><list></list></block></block><block s="reportCombine"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>2</l><block var="data"/><l><bool>true</bool></l></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicMin"><list><l></l><l></l></list></block></autolambda><list></list></block></block><block s="reportCombine"><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>2</l><block var="data"/><l><bool>true</bool></l></custom-block><block s="reifyReporter"><autolambda><block s="reportVariadicMax"><list><l></l><l></l></list></block></autolambda><list></list></block></block></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="convert value %&apos;pos&apos; to coordinate %&apos;coordinate&apos; $nl of PlotPad %&apos;sprite&apos;" type="reporter" category="5. PlotPad for data plots" space="true"><comment x="0" y="0" w="135.1666666666667" collapsed="false">Conversion of coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%n">100</input><input type="%s" readonly="true">xp<options>xp&#xD;yp&#xD;x&#xD;y</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>x0</l><l>diagramWidth</l><l>y0</l><l>diagramHeight</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>convert value to coordinate</l></custom-block></script><list></list></block><block s="doSetVar"><l>diagramWidth</l><block s="reportDifference"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block></block></block><block s="doSetVar"><l>diagramHeight</l><block s="reportDifference"><block s="reportDifference"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLowerOffset</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block></block></block><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block><block var="diagramWidth"/></list></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block></block></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><block var="diagramHeight"/></list></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block></block></block><block s="doSetVar"><l>coordinate</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="coordinate"/><l> </l></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="coordinate"/><l>xp</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block var="x0"/><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="pos"/><block var="diagramWidth"/></list></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></block></block></list></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="coordinate"/><l>yp</l></list></block><script><block s="doReport"><block s="reportVariadicSum"><list><block s="reportDifference"><block var="y0"/><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="pos"/><block var="diagramHeight"/></list></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block></block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="coordinate"/><l>x</l></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportDifference"><block var="pos"/><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block></block><block var="x0"/></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></block></list></block><block var="diagramWidth"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="coordinate"/><l>y</l></list></block><script><block s="doReport"><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y0"/><block s="reportDifference"><block var="pos"/><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block></block></block><block s="reportDifference"><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block></list></block><block var="diagramHeight"/></block></block></script><list></list></block></script></block></script></block-definition><block-definition s="PlotPad %&apos;selection&apos; on %&apos;sprite&apos; by mouse" type="reporter" category="5. PlotPad for data plots"><comment x="0" y="0" w="128.33333333333334" collapsed="false">Obtaining coordinates of a PlotPad at mouseposition.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">costume-coordinates<options>costume-coordinates&#xD;graph-coordinates</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>targetCostumeWidth</l><l>targetCostumeHeight</l><l>targetXPosition</l><l>targetYPosition</l><l>targetSize</l><l>x</l><l>y</l><l>x0</l><l>y0</l><l>targetCostume</l><l>xLeft</l><l>xRight</l><l>yLower</l><l>yUpper</l><l>diagramWidth</l><l>diagramHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a PlotPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as PlotPad!</l><l>PlotPad ... by mouse</l></custom-block></script><list></list></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doSetVar"><l>targetCostume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>targetCostumeWidth</l><block s="reportGetImageAttribute"><l><option>width</option></l><block var="targetCostume"/></block></block><block s="doSetVar"><l>targetCostumeHeight</l><block s="reportGetImageAttribute"><l><option>height</option></l><block var="targetCostume"/></block></block><block s="doSetVar"><l>targetXPosition</l><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetSize</l><block s="reportAttributeOf"><l><option>size</option></l><block var="target"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>costume-coordinates</l></list><comment w="121.68283420138891" collapsed="false">costume coordinates.</comment></block><script><block s="doWarp"><script><block s="doSetVar"><l>x</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>graph-coordinates</l></list><comment w="121.68283420138891" collapsed="false">costume coordinates.</comment></block><script><block s="doWarp"><script><block s="doSetVar"><l>x</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>xLeft</l><custom-block s="PlotPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></block><block s="doSetVar"><l>xRight</l><custom-block s="PlotPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block></block><block s="doSetVar"><l>yLower</l><custom-block s="PlotPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></block><block s="doSetVar"><l>yUpper</l><custom-block s="PlotPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block></block><block s="doSetVar"><l>diagramWidth</l><block s="reportDifference"><block s="reportDifference"><block var="targetCostumeWidth"/><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleRightOffset</l><block var="target"/></custom-block></block></block><block s="doSetVar"><l>diagramHeight</l><block s="reportDifference"><block s="reportDifference"><block var="targetCostumeHeight"/><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLowerOffset</l><block var="target"/></custom-block></block></block><block s="doSetVar"><l>x0</l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block var="xLeft"/><block s="reportDifference"><block var="xLeft"/><block var="xRight"/></block></block><block var="diagramWidth"/></list></block></block><block s="doSetVar"><l>y0</l><block s="reportVariadicProduct"><list><block s="reportQuotient"><block var="yUpper"/><block s="reportDifference"><block var="yUpper"/><block var="yLower"/></block></block><block var="diagramHeight"/></list></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportDifference"><block var="x"/><block var="x0"/></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleLeftOffset</l><block var="target"/></custom-block></block><block s="reportDifference"><block var="xRight"/><block var="xLeft"/></block></list></block><block var="diagramWidth"/></block><block s="reportQuotient"><block s="reportVariadicProduct"><list><block s="reportVariadicSum"><list><block s="reportDifference"><block var="y0"/><block var="y"/></block><custom-block s="PlotPadProperty %txt of %txt"><l>scaleUpperOffset</l><block var="target"/></custom-block></list></block><block s="reportDifference"><block var="yUpper"/><block var="yLower"/></block></list></block><block var="diagramHeight"/></block></list></block></block></script></block></script></block></script><list></list></block></script></block-definition><block-definition s="Example: $nl Plot of random data width %&apos;w&apos; height %&apos;h&apos; $nl line %&apos;lstyle&apos; marker %&apos;mstyle&apos; color %&apos;color&apos;" type="command" category="5. PlotPad for data plots" space="true"><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%txt">continuous</input><input type="%txt">o_circle</input><input type="%mult%s">0</input></inputs><script><custom-block s="import %s from %s to SciSnap!Data"><l>CSV-data</l><custom-block s="%n random points near %repRing %br between %n and %n range %n"><l>20</l><block s="reifyReporter"><autolambda><block s="reportDifference"><block s="reportVariadicProduct"><list><l>0.3</l><block s="reportPower"><l></l><l>3</l></block></list></block><l></l></block></autolambda><list></list></block><l>-5</l><l>5</l><l>2</l></custom-block></custom-block><block s="doSetVar"><l>SciSnap!Data</l><custom-block s="%s sorted by column %s %br ascending %b considering headline? %b"><l>SciSnap!Data</l><l>1</l><l><bool>true</bool></l><l><bool>true</bool></l></custom-block></block><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><block var="w"/><block var="h"/><l>lightGray</l><l><bool>true</bool></l><l><bool>true</bool></l><l>10</l></custom-block><custom-block s="get ranges for PlotPad %txt %br from %s with border %n"><l>thisSprite</l><block var="SciSnap!Data"/><l>0.07</l></custom-block><custom-block s="set pretty ranges on PlotPad %txt"><l>thisSprite</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><l>Plot of random data close to a polynom</l><l>18</l><l>x</l><l>16</l><l>y</l><l>16</l></custom-block><custom-block s="set PlotPad line properties style: %txt %br width: %n color: %mult%s on %txt"><block var="lstyle"/><l>1</l><list><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></list><l>thisSprite</l></custom-block><custom-block s="set PlotPad marker properties style: %txt width: %n %br color: %mult%s connected? %b on %txt"><block var="mstyle"/><l>5</l><list><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></list><l><bool>true</bool></l><l>thisSprite</l></custom-block><custom-block s="add dataplot of numeric data: %s to PlotPad %txt"><block var="SciSnap!Data"/><l>thisSprite</l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block></script></block-definition><block-definition s="Example: $nl Histogram of random data width %&apos;w&apos; height %&apos;h&apos; $nl line %&apos;lstyle&apos; color %&apos;color&apos;" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%txt">continuous</input><input type="%mult%s"></input></inputs><script><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><block var="w"/><block var="h"/><block var="color"/><l><bool>true</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><l>Histogram of random data</l><l>18</l><l>x</l><l>16</l><l>y</l><l>16</l></custom-block><custom-block s="add histogram of %s with %n groups %br to PlotPad %txt y-axis starting with 0? %b"><custom-block s="random vector dim %n %br range %n to %n"><l>1000</l><l>1</l><l>99</l></custom-block><l>10</l><l>thisSprite</l><l><bool>true</bool></l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block></script></block-definition><block-definition s="Example: $nl Simple plot of data: %&apos;data&apos; $nl x: %&apos;x&apos; y: %&apos;y&apos; width: %&apos;w&apos; height: %&apos;h&apos; $nl title: %&apos;t&apos; labels: %&apos;xlab&apos; %&apos;ylab&apos; $nl line: %&apos;l&apos; marker: %&apos;m&apos; color: %&apos;color&apos;" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%n">0</input><input type="%n">0</input><input type="%n">600</input><input type="%n">400</input><input type="%s"></input><input type="%s"></input><input type="%s"></input><input type="%txt" readonly="true">continuous<options>none&#xD;continuous&#xD;dashed&#xD;dash-dot&#xD;dot-dot&#xD;rainbow&#xD;inverse rainbow</options></input><input type="%txt" readonly="true">square<options>none&#xD;o_circle&#xD;._point&#xD;+_plus&#xD;x_ex&#xD;square&#xD;triangle</options></input><input type="%mult%s">0</input></inputs><script><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><block var="w"/><block var="h"/><block var="color"/><l><bool>false</bool></l><l><bool>true</bool></l><l>15</l></custom-block><block s="gotoXY"><block var="x"/><block var="y"/></block><block s="doIf"><block s="reportListIsEmpty"><block var="data"/></block><script><block s="doSetVar"><l>data</l><custom-block s="sort %s with predicate %predRing"><custom-block s="%n random points near %repRing %br between %n and %n range %n"><l>100</l><block s="reifyReporter"><autolambda><block s="reportDifference"><block s="reportPower"><l></l><l>3</l></block><block s="reportVariadicProduct"><list><l>3</l><l></l></list></block></block></autolambda><list></list></block><l>-5</l><l>5</l><l>2</l></custom-block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><l/></block><block s="reportListItem"><l>1</l><l/></block></list></block></autolambda><list></list></block></custom-block></block></script><list></list></block><custom-block s="get ranges for PlotPad %txt %br from %s with border %n"><l>thisSprite</l><block var="data"/><l>0.07</l></custom-block><custom-block s="set pretty ranges on PlotPad %txt"><l>thisSprite</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><block var="t"/><l>18</l><block var="xlab"/><l>16</l><block var="ylab"/><l>16</l></custom-block><custom-block s="set PlotPad line properties style: %txt %br width: %n color: %mult%s on %txt"><block var="l"/><l>1</l><block var="r"/><block var="g"/></custom-block><custom-block s="set PlotPad marker properties style: %txt width: %n %br color: %mult%s connected? %b on %txt"><block var="m"/><l>5</l><block var="r"/><block var="g"/><block var="b"/></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block><custom-block s="add dataplot of numeric data: %s to PlotPad %txt"><block var="data"/><l>thisSprite</l></custom-block></script></block-definition><block-definition s="Example: regression line" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>regressionData</l><l>data</l></list></block><block s="doSetVar"><l>data</l><custom-block s="%n random points near a straight line %br x-range %n %n gradient %n %br y-axis-intercept %n range %n"><l>150</l><l>-5</l><l>5</l><l>1</l><l>0</l><l>4</l></custom-block></block><block s="doSetVar"><l>regressionData</l><custom-block s="regression line parameters of %s"><block var="data"/></custom-block></block><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>true</bool></l><l><bool>true</bool></l><l>15</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><l>Random data with regression line</l><l>18</l><l>x-values</l><l>16</l><l>y-values</l><l>16</l></custom-block><custom-block s="set PlotPad marker properties style: %txt width: %n %br color: %mult%s connected? %b on %txt"><l>square</l><l>5</l><list><l>red</l></list><l><bool>false</bool></l><l>thisSprite</l></custom-block><custom-block s="set PlotPad ranges for x: %n %n y: %n %n %br with border? %b of %n on %txt"><l>-5</l><l>5</l><l>-5</l><l>5</l><l><bool>false</bool></l><l>0.1</l><l>thisSprite</l></custom-block><custom-block s="add dataplot of numeric data: %s to PlotPad %txt"><block var="data"/><l>thisSprite</l></custom-block><custom-block s="set PlotPad line properties style: %txt %br width: %n color: %mult%s on %txt"><l>continuous</l><l>2</l><list><l>red</l></list><l>thisSprite</l></custom-block><custom-block s="add graph %s to PlotPad %txt"><block var="regressionData"/><l>thisSprite</l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block></script></block-definition><block-definition s="change SpriteName of %&apos;sprite&apos; to %&apos;newName&apos;" type="command" category="control"><comment x="0" y="0" w="69.23076923076923" collapsed="false">Changes the spritename.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input><input type="%txt">new name</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>remove sprite ...</l></custom-block></script><list></list></block><block s="doApplyExtension"><l>SciS_changeSpritenameTo(sprite,newName)</l><list><block var="target"/><block var="newName"/></list></block></script></block></script></block-definition><block-definition s="list of sprites with names $nl starting with %&apos;name&apos;" type="reporter" category="control"><comment x="0" y="0" w="90" collapsed="false">Reports a list of sprites with similar names. Used when &quot;cleaning up&quot;.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisName</input></inputs><script><block s="doDeclareVariables"><list><l>sprites</l><l>length</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>length</l><block s="reportTextAttribute"><l><option>length</option></l><block var="name"/></block></block><block s="doSetVar"><l>sprites</l><block s="reportGet"><l><option>other sprites</option></l></block></block><block s="doAddToList"><block s="reportGet"><l><option>self</option></l></block><block var="sprites"/></block><block s="doForEach"><l>sprite</l><block var="sprites"/><script><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportAskFor"><block var="sprite"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>name</option></l></block></autolambda><list></list></block><list></list></block><l>1</l><block var="length"/></custom-block><block var="name"/></list></block><script><block s="doAddToList"><block var="sprite"/><block var="result"/></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="list %&apos;theList&apos; contains %&apos;thisItem&apos; anywhere" type="predicate" category="lists" space="true"><comment x="0" y="0" w="90" collapsed="false">Checks whether an element is anywhere in a list.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%s">this value</input></inputs><script><block s="doReport"><block s="reportVariadicNotEquals"><list><block s="reportFindFirst"><block s="reifyPredicate"><autolambda><block s="reportVariadicEquals"><list><l></l><block var="thisItem"/></list></block></autolambda><list></list></block><block s="reportListAttribute"><l><option>flatten</option></l><block var="theList"/></block></block><l></l></list></block></block></script></block-definition><block-definition s="INFO &quot;SQL tools&quot;" type="command" category="4. SQL tools"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "SQL tools"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks for making SQL queries to databases.&#xD;The default is a server of the University of Goettingen, which provides different databases.&#xD;First, one of the databases should be selected. Then their tables and, if necessary, attributes can be displayed.&#xD;It is recommended to display these values permanently as "dialogs" to make it easier to compose SQL queries.&#xD;SQL queries can be created simple or more complex. The results of the two blocks produce texts.&#xD;These can be executed using the "exec SQL-command" block. Consequently, SQL statements can also be entered directly there.&#xD;The usual predicates and operators are available as blocks for generating SQL queries.&#xD;No changes can be made to the databases.</l></custom-block></custom-block></script></block-definition><block-definition s="configure SQL" type="command" category="4. SQL tools" space="true"><comment x="0" y="0" w="231.26365661621094" collapsed="false">Creates SQL variables and sets some properties.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doApplyExtension"><l>var_declare(scope, name)</l><list><l>global</l><l>SQLData</l></list></block><block s="doSetVar"><l>SQLData</l><block s="reportNewList"><list></list></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfConfiguration</l><l>SQL</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><l>not set</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>connection</l><l></l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>connected</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>databases</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>currentDatabase</l><l></l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>currentTable</l><l></l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><l>0</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><l>0</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><l>not set</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><l>not set</l></custom-block><block s="doSwitchToCostume"><l>SQLDisconnected</l></block></script></block></script></block-definition><block-definition s="is SQL configured?" type="predicate" category="4. SQL tools"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doReport"><block s="reportVariadicEquals"><list><custom-block s="SciSnap! global property %s"><l>typeOfConfiguration</l></custom-block><l>SQL</l></list></block></block></script></block-definition><block-definition s="connect to database server" type="command" category="4. SQL tools"><comment x="0" y="0" w="180.18768601190536" collapsed="false">Establishes connection and sets the corresponding properties. Change parameters if necessary. </comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>databases</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: please configure SciSnap! for SQL first!</l><l>connect to database server</l></custom-block></script><list></list></block><custom-block s="set SciSnap! global property %txt to %s"><l>connection</l><l>https://snapextensions.uni-goettingen.de/mysqlquery.php?server=db1&amp;user=snapexuser&amp;password=snap!user</l></custom-block><block s="doIfElse"><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;type=connect</l></list></block></block><l>1</l><l>2</l></custom-block><l>ok</l></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>connected</l><block s="reportBoolean"><l><bool>true</bool></l></block></custom-block><block s="doSwitchToCostume"><l>SQLConnected</l></block><block s="doSetVar"><l>databases</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;type=getDBs</l></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="databases"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l><option>last</option></l><block var="databases"/></block></block><l>0</l></list></block></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="databases"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="databases"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="databases"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>databases</l><block s="reportNewList"><list></list></block></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>databases</l><block var="databases"/></custom-block></script></block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>connected</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><block s="doSwitchToCostume"><l>SQLDisconnected</l></block></script></block></script></block></script></block-definition><block-definition s="read databases" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="220.6666666666666" collapsed="false">Reports a list of databases on the server and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>databases</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: SQL isn&apos;t configured yet!</l><l>read databases</l></custom-block></script><list></list></block><block s="doSetVar"><l>databases</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;type=getDBs</l></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="databases"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l><option>last</option></l><block var="databases"/></block></block><l>0</l></list></block></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="databases"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="databases"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="databases"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>databases</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: reading of databases has failed!</l><l>read databases</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>databases</l><block var="databases"/></custom-block><block s="doReport"><block var="databases"/></block></script></block></script></block></script></block-definition><block-definition s="choose database no. %&apos;n&apos;" type="command" category="4. SQL tools"><comment x="0" y="0" w="182.40882873535156" collapsed="false">Selects one of the databases and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>tables</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: please configure SciSnap! for SQL first!</l><l>choose database no.</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><custom-block s="SciSnap! global property %s"><l>databases</l></custom-block></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>choose database no.</l></custom-block></script><list></list></block><custom-block s="set SciSnap! global property %txt to %s"><l>currentDatabase</l><block s="reportListItem"><block var="n"/><custom-block s="SciSnap! global property %s"><l>databases</l></custom-block></block></custom-block><block s="doSetVar"><l>dummy</l><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;command=</l><block s="reportJoinWords"><list><l>USE </l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block></list></block></list></block></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block s="reportNewList"><list></list></block></custom-block><block s="doSetVar"><l>tables</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;command=</l><block s="reportJoinWords"><list><l>SHOW TABLES FROM </l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block><l>&amp;type=getTables</l></list></block></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="tables"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l><option>last</option></l><block var="tables"/></block></block><l>0</l></list></block></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="tables"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="tables"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="tables"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no tables accessable!</l><l>choose database no.</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block var="tables"/></custom-block></script></block></script></block></script></block-definition><block-definition s="read tables" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="392.7626953124997" collapsed="false">Reports a list of tables of the chosen database and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>tables</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: SQL isn&apos;t configured yet!</l><l>read tables</l></custom-block></script><list></list></block><block s="doSetVar"><l>tables</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;command=</l><block s="reportJoinWords"><list><l>SHOW TABLES FROM </l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block><l>&amp;type=getTables</l></list></block></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="tables"/></block><l>0</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l><option>last</option></l><block var="tables"/></block></block><l>0</l></list></block></list></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="tables"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="tables"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="tables"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no tables accessable!</l><l>read tables</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>tables</l><block var="tables"/></custom-block></script></block><block s="doReport"><block var="tables"/></block></script></block></script></block-definition><block-definition s="choose table no. %&apos;n&apos;" type="command" category="4. SQL tools"><comment x="0" y="0" w="163.10389383951835" collapsed="false">Selects one of the tables and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>columns</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: please configure SciSnap! for SQL first!</l><l>choose table no.</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><custom-block s="SciSnap! global property %s"><l>tables</l></custom-block></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>choose database no.</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>currentTable</l><block s="reportListItem"><block var="n"/><custom-block s="SciSnap! global property %s"><l>tables</l></custom-block></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block s="reportNewList"><list></list></block></custom-block><block s="doSetVar"><l>columns</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;command=</l><block s="reportJoinWords"><list><l>SHOW COLUMNS FROM </l><block s="reportListItem"><block var="n"/><custom-block s="SciSnap! global property %s"><l>tables</l></custom-block></block><l>&amp;type=getColumns&amp;database=</l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block></list></block></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l><option>last</option></l><block var="columns"/></block><l></l></list></block></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="columns"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="columns"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="columns"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table not accessable!</l><l>choose database no.</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block var="columns"/></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="attributes of table no. %&apos;n&apos;" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="213.86197916666674" collapsed="false">Reads the attributes of the specified table and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>columns</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: SQL isn&apos;t configured yet!</l><l>attributes of table no.</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><custom-block s="SciSnap! global property %s"><l>tables</l></custom-block></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: table doesn&apos;t exist!</l><l>attributes of table no.</l></custom-block></script><script><block s="doSetVar"><l>columns</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;command=</l><block s="reportJoinWords"><list><l>SHOW COLUMNS FROM </l><block s="reportListItem"><block var="n"/><custom-block s="SciSnap! global property %s"><l>tables</l></custom-block></block></list></block><l>&amp;type=getColumns&amp;database=</l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block></list></block></block><l><option>line</option></l></block></block><block s="doUntil"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l><option>last</option></l><block var="columns"/></block><l></l></list></block></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="columns"/></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="columns"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportListItem"><l>1</l><block var="columns"/></block><l>1</l><l>5</l></custom-block><l>ERROR</l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block s="reportNewList"><list></list></block></custom-block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: reading of attributes has failed!</l><l>attributes of table no.</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>attributes</l><block var="columns"/></custom-block></script></block><block s="doReport"><block var="columns"/></block></script></block></script></block></script></block-definition><block-definition s="SELECT %&apos;what&apos; %&apos;attribs&apos; FROM %&apos;mytables&apos; WHERE %&apos;cond&apos;" type="reporter" category="4. SQL tools" space="true"><comment x="0" y="0" w="57.16666666666697" collapsed="false">Generates a simplified SQL query.</comment><header></header><code></code><translations></translations><inputs><input type="%s"><options>*&#xD;DISTINCT</options></input><input type="%mult%txt"></input><input type="%mult%txt"></input><input type="%b"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><l>SELECT </l></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="what"/><l>*</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>* FROM </l></list></block></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="what"/><l>DISTINCT</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>DISTINCT </l></list></block></block></script><list></list></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="attribs"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="attribs"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="attribs"/></block><l> FROM </l></list></block></block></script></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="mytables"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: tables missing!</l><l>SELECT simple</l></custom-block></script><script><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="mytables"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="mytables"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="mytables"/></block></list></block></block></script></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="cond"/></block><l>2</l></list></block><script><block s="doReport"><block var="result"/></block></script><script><block s="doReport"><block s="reportJoinWords"><list><block var="result"/><l> WHERE </l><block var="cond"/></list></block></block></script></block></script></block></script></block-definition><block-definition s="SELECT %&apos;what&apos; %&apos;attribs&apos; FROM %&apos;mytables&apos; WHERE %&apos;cond&apos; $nl GROUP BY %&apos;groupattribs&apos; HAVING %&apos;havcond&apos; ORDER BY %&apos;orderatts&apos; %&apos;how&apos; LIMIT %&apos;n&apos;" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="104.16666666666667" collapsed="false">Generates an almost complete SQL query.</comment><header></header><code></code><translations></translations><inputs><input type="%s"><options>*&#xD;DISTINCT</options></input><input type="%mult%txt"></input><input type="%mult%txt"></input><input type="%b"></input><input type="%mult%txt"></input><input type="%b"></input><input type="%mult%txt"></input><input type="%txt" readonly="true">ASC<options>ASC&#xD;DESC</options></input><input type="%n">10</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><l>SELECT </l></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="what"/><l>*</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>* FROM </l></list></block></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="what"/><l>DISTINCT</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l>DISTINCT </l></list></block></block></script><list></list></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="attribs"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="attribs"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="attribs"/></block><l> FROM </l></list></block></block></script></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="mytables"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: tables missing!</l><l>SELECT full</l></custom-block></script><script><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="mytables"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="mytables"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="mytables"/></block></list></block></block></script></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="cond"/></block><l>2</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> WHERE </l><block var="cond"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="groupattribs"/></block><l>0</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> GROUP BY </l></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="groupattribs"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="groupattribs"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="groupattribs"/></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="havcond"/></block><l>2</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> HAVING </l><block var="havcond"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="orderatts"/></block><l>0</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> ORDER BY </l></list></block></block><block s="doSetVar"><l>i</l><l>1</l></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block s="reportDifference"><block s="reportListAttribute"><l><option>length</option></l><block var="orderatts"/></block><l>1</l></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="orderatts"/></block><l>,</l></list></block></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block s="reportListItem"><block var="i"/><block var="orderatts"/></block></list></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="how"/><l>ASC</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> ASC</l></list></block></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="how"/><l>DESC</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> DESC</l></list></block></block></script><list></list></block></script></block><block s="doIf"><block s="reportIsA"><block var="n"/><l><option>number</option></l></block><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><l> LIMIT </l><block var="n"/></list></block></block></script><list></list></block></script><list></list></block></script><list></list></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="exec SQL-command %&apos;query&apos;" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="113.33333333333334" collapsed="false">Executes an SQL query.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>query2</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: SQL isn&apos;t configured yet!</l><l>exec SQL-command</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="query"/><l>:</l></block></block><l>ERROR</l></list></block><script><block s="doReport"><block var="query"/></block></script><script><block s="doSetVar"><l>query2</l><l></l></block><block s="doFor"><l>i</l><l>1</l><block s="reportTextAttribute"><l><option>length</option></l><block var="query"/></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportLetter"><block var="i"/><block var="query"/></block><l>%</l></list></block><script><block s="doSetVar"><l>query2</l><block s="reportJoinWords"><list><block var="query2"/><l>%25</l></list></block></block></script><script><block s="doSetVar"><l>query2</l><block s="reportJoinWords"><list><block var="query2"/><block s="reportLetter"><block var="i"/><block var="query"/></block></list></block></block></script></block></script><comment w="160" collapsed="false">replaces &quot;%&quot; with &quot;%25&quot; to prevent trouble with the url-block.</comment></block><block s="doSetVar"><l>result</l><block s="reportTextSplit"><block s="reportURL"><block s="reportJoinWords"><list><custom-block s="SciSnap! global property %s"><l>connection</l></custom-block><l>&amp;type=query&amp;query=</l><block var="query2"/><l>&amp;database=</l><custom-block s="SciSnap! global property %s"><l>currentDatabase</l></custom-block></list></block></block><l><option>line</option></l></block></block></script></block><block s="doUntil"><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l><option>last</option></l><block var="result"/></block><l></l></list></block></block><script><block s="doDeleteFromList"><l><option>last</option></l><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="import query result %&apos;source&apos; to SQLData" type="command" category="4. SQL tools" space="true"><comment x="0" y="0" w="135.83333333333334" collapsed="false">Imports the results of an SQL-query to SQLData and sets the corresponding properties.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is SQL configured?"></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: please configure SciSnap! for SQL first!</l><l>import SQL-data</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><block s="doSetVar"><l>SQLData</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><script><block s="doAddToList"><block s="reportTextSplit"><block s="reportListItem"><block var="i"/><block var="source"/></block><l>,</l></block><block var="SQLData"/></block></script></block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><l>table</l></custom-block><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="SQLData"/></block><l>0</l></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><l>0</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><l>0</l></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><block s="reportListAttribute"><l><option>length</option></l><block var="SQLData"/></block></custom-block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="SQLData"/></block><l><option>list</option></l></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="SQLData"/></block></block></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><l>1</l></custom-block></script></block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><l>not set</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><l>not set</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only SQL import from lists!</l><l>import SQL-data</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;a&apos; = %&apos;b&apos;" type="predicate" category="4. SQL tools" space="true"><comment x="0" y="0" w="125.83333333333334" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> = </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; &lt; %&apos;b&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="125.83333333333334" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> &lt; </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; &gt; %&apos;b&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="127.5" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> &gt; </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; OR %&apos;b&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="124.1666666666667" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> OR </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; AND %&apos;b&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="131.66666666666669" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> AND </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="NOT %&apos;a&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="126.6666666666667" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>NOT(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; LIKE %&apos;b&apos;" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="130.83333333333334" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>(</l><block var="a"/><l> LIKE </l><block var="b"/><l>)</l></list></block></block></script></block-definition><block-definition s="%&apos;a&apos; IN ( %&apos;liste&apos; )" type="predicate" category="4. SQL tools"><comment x="0" y="0" w="124.1666666666667" collapsed="false">Returns an SQL predicate.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><block var="a"/><l> IN (</l><block var="liste"/><l>)</l></list></block></block></script></block-definition><block-definition s="AVG ( %&apos;a&apos; )" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="125" collapsed="false">Returns an SQL value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>AVG(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="COUNT ( %&apos;a&apos; )" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="115.83333333333334" collapsed="false">Returns an SQL value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>COUNT(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="MIN ( %&apos;a&apos; )" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="112.5" collapsed="false">Returns an SQL value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>MIN(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="MAX ( %&apos;a&apos; )" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="120.83333333333334" collapsed="false">Returns an SQL value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>MAX(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="SUM ( %&apos;a&apos; )" type="reporter" category="4. SQL tools"><comment x="0" y="0" w="118.33333333333334" collapsed="false">Returns an SQL value.</comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doReport"><block s="reportJoinWords"><list><l>SUM(</l><block var="a"/><l>)</l></list></block></block></script></block-definition><block-definition s="SQL-Example: simple query" type="command" category="4. SQL tools" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure SQL"></custom-block><block s="doShowVar"><l>SQLData</l></block><custom-block s="connect to database server"></custom-block><custom-block s="choose database no. %n"><l>2</l></custom-block><custom-block s="import query result %l to SQLData"><custom-block s="exec SQL-command %txt"><custom-block s="SELECT %s %mult%txt FROM %mult%txt WHERE %b"><l>*</l><list></list><list><l>schueler</l></list><l/></custom-block></custom-block></custom-block></script></block-definition><block-definition s="SQL-Example: a bit advanced query" type="command" category="4. SQL tools"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure SQL"></custom-block><block s="doShowVar"><l>SQLData</l></block><custom-block s="connect to database server"></custom-block><custom-block s="choose database no. %n"><l>2</l></custom-block><custom-block s="import query result %l to SQLData"><custom-block s="exec SQL-command %txt"><custom-block s="SELECT %s %mult%txt FROM %mult%txt WHERE %b %br GROUP BY %mult%txt HAVING %b ORDER BY %mult%txt %txt LIMIT %n"><l></l><list><l>Name</l><custom-block s="AVG ( %txt )"><l>Punkte</l></custom-block></list><list><l>schueler</l><l>hatkurs</l></list><custom-block s="%txt = %txt"><l>schueler.ID_Nummer</l><l>hatkurs.ID_Nummer</l></custom-block><list><l>Name</l></list><l/><list><custom-block s="AVG ( %txt )"><l>Punkte</l></custom-block></list><l>DESC</l><l>10</l></custom-block></custom-block></custom-block></script></block-definition><block-definition s="where is the %&apos;block&apos; block used?" type="reporter" category="sensing" space="true"><comment x="0" y="0" w="192.66666666666666" collapsed="false">Partly copied von Brian Harvey&apos;s manual.</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input></inputs><script><block s="doDeclareVariables"><list><l>header</l></list></block><block s="doSetVar"><l>header</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="block"/><l><option>blocks</option></l></block></block></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><custom-block s="list %l contains %s anywhere"><block s="reportTextSplit"><block s="reportBlockAttribute"><l><option>definition</option></l><block s="reifyReporter"><script></script><list></list></block></block><l><option>blocks</option></l></block><block var="header"/></custom-block></autolambda><list></list></block><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportBlockAttribute"><l><option>custom?</option></l><block s="reifyReporter"><script></script><list></list></block></block></autolambda><list></list></block><block s="reportGet"><l><option>blocks</option></l></block></block></block></block></script></block-definition><block-definition s="make a drop at %&apos;x&apos; %&apos;y&apos; bounded by a rectangle %&apos;width&apos; %&apos;height&apos; $nl shifted by %&apos;dx&apos; %&apos;dy&apos; percent, main color %&apos;color&apos; $nl with %&apos;n&apos; particles on %&apos;sprite&apos;" type="command" category="pen"><comment x="0" y="0" w="136.66666666666666" collapsed="false">Inspired by the &quot;drip painting&quot; of Jackson Pollock. ;-)</comment><header></header><code></code><translations></translations><inputs><input type="%n">0</input><input type="%n">0</input><input type="%n">50</input><input type="%n">50</input><input type="%n">-30</input><input type="%n">20</input><input type="%s" readonly="true">red<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%n">100</input><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite&#xD;theStage</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>costume</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>target isn&apos;t a sprite</l><l>make a drop</l></custom-block></script><list></list></block><block s="doSetVar"><l>dx</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="width"/><block var="dx"/></list></block><l>100</l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportMonadic"><l><option>abs</option></l><block var="dx"/></block><block var="width"/></list></block><script><block s="doSetVar"><l>dx</l><block var="width"/></block></script><list></list></block><block s="doSetVar"><l>dy</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="height"/><block var="dy"/></list></block><l>100</l></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportMonadic"><l><option>abs</option></l><block var="dy"/></block><block var="height"/></list></block><script><block s="doSetVar"><l>dy</l><block var="height"/></block></script><list></list></block><block s="doSetVar"><l>costume</l><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block></block><block s="doSetVar"><l>color</l><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block><block s="doIf"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_drip(xa,ya,width,height,dx,dy,color,costume,n)</l><list><block var="x"/><block var="y"/><block var="width"/><block var="height"/><block var="dx"/><block var="dy"/><block var="color"/><block var="costume"/><block var="n"/></list></block></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="list length %&apos;n&apos; initialized with %&apos;value&apos;" type="reporter" category="lists"><comment x="0" y="0" w="90" collapsed="false">Creates a list of the specified length, filled with the specified entry.</comment><header></header><code></code><translations></translations><inputs><input type="%n">10</input><input type="%s">anything</input></inputs><script><block s="doDeclareVariables"><list><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doRepeat"><block var="n"/><script><block s="doAddToList"><block var="value"/><block var="result"/></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="Example: &quot;drip painting&quot;" type="command" category="pen" space="true"><comment x="0" y="0" w="153.2734375" collapsed="false">Inspired by Jackson Pollock ;-)</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>shift</l><l>width</l><l>height</l><l>deltaX</l><l>deltaY</l></list></block><block s="doWarp"><script><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><block s="reportNewList"><list><l>220</l><l>200</l><l>225</l></list></block></custom-block></list></block><block s="doForever"><script><block s="doSetVar"><l>shift</l><block s="reportRandom"><l>-20</l><l>20</l></block></block><block s="doSetVar"><l>width</l><block s="reportRandom"><l>20</l><l>200</l></block></block><block s="doSetVar"><l>height</l><block s="reportRandom"><l>20</l><l>200</l></block></block><block s="doSetVar"><l>deltaX</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="shift"/><block var="width"/><l>3</l></list></block><l>100</l></block></block><block s="doSetVar"><l>deltaY</l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="shift"/><block var="height"/><l>3</l></list></block><l>100</l></block></block><custom-block s="make a drop at %n %n bounded by a rectangle %n %n %br shifted by %n %n percent, main color %s %br with %n particles on %s"><block s="reportRandom"><block s="reportMonadic"><l><option>neg</option></l><block var="deltaX"/></block><block s="reportDifference"><l>600</l><block var="deltaX"/></block></block><block s="reportRandom"><block s="reportMonadic"><l><option>neg</option></l><block var="deltaY"/></block><block s="reportDifference"><l>400</l><block var="deltaY"/></block></block><block var="width"/><block var="height"/><block var="shift"/><block var="shift"/><block s="reportNewList"><list><block s="reportRandom"><l>50</l><l>255</l></block><block s="reportRandom"><l>50</l><l>255</l></block><block s="reportRandom"><l>50</l><l>255</l></block></list></block><block s="reportRandom"><l>10</l><l>100</l></block><l>theStage</l></custom-block></script></block></script></block></script></block-definition><block-definition s="INFO &quot;ImagePad&quot; for dealing with images" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "ImagePad for image operations"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks for using any sprite or the stage as a sketchpad for image display and processing.&#xD;Initially, the properties for the "pad" used are set to default values, which can be changed using the corresponding blocks.&#xD;Blocks are available for importing and displaying image data, manipulating values, working with the mouse, affine transformations, etc.&#xD;The blocks for drawing standard shapes can be found in SciSnap! globals.&#xD;For working with images that are larger than the sprite, a "window" can be defined for an image.&#xD;In this window, the image "behind" can then be moved, enlarged/shrunk etc. using the mouse.&#xD;Some examples explain how to use the blocks.&#xD;</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as an ImagePad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button? %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="142.5" collapsed="false">Creates a new  empty costume of the specified size and color and sets local properties</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%txt" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><block var="color"/><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>ImagePad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfData</l><l>none</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>minValue</l><l>notSet</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>maxValue</l><l>notSet</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>columns</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>rows</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>mean</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>stddev</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>imageType</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>imageWidth</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>imageHeight</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>imageRealSize</l><l>not set</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></script></block></script><scripts><comment x="520.8333333333335" y="80.16666666666683" w="192.5" collapsed="false">Costume attributes and line attributes same as SketchPad.&#xD;&#xD;other attributes:&#xD;&#xD;data properties:&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;mean of values&#xD;stddev of values&#xD;&#xD;image properties:&#xD;image type (RGB,FITS)&#xD;imageWidth&#xD;imageHeight&#xD;imageRealSize&#xD;</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; an ImagePad?" type="predicate" category="6. ImagePad for image operations"><comment x="0" y="0" w="134" collapsed="false">Reports whether the sprite is configured as an ImagePad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l><option>myself</option></l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>ImagePad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l>Stage</l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>ImagePad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><block var="sprite"/></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>ImagePad</l></custom-block></autolambda><list></list></block><list></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="ImagePadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;data properties={&#xD;minValue=minValue&#xD;maxValue=maxValue&#xD;columns=columns&#xD;rows=rows&#xD;mean value=mean&#xD;standard deviation=stddev&#xD;}&#xD;image properties ={&#xD;image type=imageType&#xD;image width=imageWidth&#xD;image height=imageHeight&#xD;image real size=imageRealSize&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad!</l><l>ImgePadProperty of ...</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>ImgePadProperty of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set ImagePadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="128" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;data properties={&#xD;minValue=minValue&#xD;maxValue=maxValue&#xD;columns=columns&#xD;rows=rows&#xD;mean value=mean&#xD;standard deviation=stddev&#xD;}&#xD;image properties ={&#xD;image type=imageType&#xD;image width=imageWidth&#xD;image height=imageHeight&#xD;image real size=imageRealSize&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>set ImagePadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set ImagePadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set ImagePad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl back color: %&apos;color&apos; offsets: %&apos;leftOffset&apos; %&apos;upperOffset&apos; on %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="117.66039530436255" collapsed="false">a simple way to set some costume attributes:&#xD;1: width&#xD;2: height&#xD;3: back color &#xD;4: left offset for Image&#xD;    position on stage&#xD;4: upper offset for Image&#xD;    position on stage</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%n">0</input><input type="%n">0</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>set ImagePad costume properties</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block></script><script><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block var="height"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><custom-block s="ImagePadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set ImagePad line properties style: %&apos;style&apos; $nl width: %&apos;lineWidth&apos; color: %&apos;color&apos; fill color: %&apos;fillColor&apos; on %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="105.68386840820362" collapsed="false">a simple way to set some net attributes:&#xD;line properties:&#xD;1: line style&#xD;2: lineWidth&#xD;3: line color &#xD;4: fill color</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">continuous<options>continuous&#xD;dashed&#xD;dash-dot&#xD;dot-dot</options></input><input type="%n">1</input><input type="%mult%s"></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>set ImagePad line properties</l></custom-block></script><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><block var="lineWidth"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>lineStyle</l><block var="target"/><block var="style"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>fillColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="fillColor"/></custom-block></custom-block></script></block></script></block-definition><block-definition s="import image data from %&apos;data&apos; $nl to myData of %&apos;sprite&apos; and set properties" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="186.11111111111117" collapsed="false">if source is not SciSnap!Data data should have the image dimensions in the last row as (width,height,&quot;dimensions&quot;).</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data<options>SciSnap!Data&#xD;currentCostume&#xD;anotherList</options></input><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite&#xD;theStage</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>import image data</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>data</l><custom-block s="copy of %s"><block var="SciSnap!Data"/></custom-block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><custom-block s="SciSnap! global property %s"><l>typeOfData</l></custom-block><l>RGB</l></list></block><script><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>RGB</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageType</l><block var="target"/><l>RGB</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageWidth</l><block var="target"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageHeight</l><block var="target"/><block s="reportListItem"><l>2</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><block s="doDeleteFromList"><l><option>last</option></l><block var="data"/></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><block var="data"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>minValue</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>maxValue</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>rows</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>rows</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>columns</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>columns</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="%s of %s"><l>min</l><block var="data"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="%s of %s"><l>max</l><block var="data"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>mean</l><block var="target"/><custom-block s="%s of %s"><l>mean</l><block var="data"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>stddev</l><block var="target"/><custom-block s="%s of %s"><l>standard-deviation</l><block var="data"/></custom-block></custom-block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><custom-block s="SciSnap! global property %s"><l>typeOfData</l></custom-block><l>FITS</l></list></block><script><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>FITS</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageType</l><block var="target"/><l>FITS</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageWidth</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageHeight</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></custom-block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><custom-block s="copy of %s"><block var="SciSnap!Data"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>minValue</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>maxValue</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>rows</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>rows</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>columns</l><block var="target"/><custom-block s="SciSnap! global property %s"><l>columns</l></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>mean</l><block var="target"/><custom-block s="%s of %s"><l>mean</l><block var="SciSnap!Data"/></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>stddev</l><block var="target"/><custom-block s="%s of %s"><l>standard-deviation</l><block var="SciSnap!Data"/></custom-block></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no image data in SciSnap!Data available!</l><l>import image data</l></custom-block></script></block></script></block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="data"/><l>currentCostume</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><l><option>costume</option></l></block><script><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>RGB</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageType</l><block var="target"/><l>RGB</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageWidth</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageHeight</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>rows</l><block var="target"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>columns</l><block var="target"/><l>4</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="%s of %s"><l>min</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="%s of %s"><l>max</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>mean</l><block var="target"/><custom-block s="%s of %s"><l>mean</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>stddev</l><block var="target"/><custom-block s="%s of %s"><l>standard-deviation</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no costume data available!</l><l>import image data</l></custom-block></script></block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list data required!</l><l>import image data</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: data list is empty!</l><l>import image data</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="data"/></block><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block><l>4</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB data required!</l><l>import image data</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>3</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block><l>dimensions</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimensions in last row of data required!</l><l>import image data</l></custom-block></script><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>RGB</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>columns</l><block var="target"/><l>4</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageWidth</l><block var="target"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageHeight</l><block var="target"/><block s="reportListItem"><l>2</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><custom-block s="copy of %s"><block var="data"/></custom-block></custom-block><block s="doDeleteFromList"><l><option>last</option></l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>rows</l><block var="target"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="%s of %s"><l>min</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="%s of %s"><l>max</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>mean</l><block var="target"/><custom-block s="%s of %s"><l>mean</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>stddev</l><block var="target"/><custom-block s="%s of %s"><l>standard-deviation</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block></script><script><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l><option>last</option></l><block var="data"/></block><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimensions in last row of data required!</l><l>import image data</l></custom-block></script><script><block s="doIf"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>3</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block><l>dimensions</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimensions in last row of data required!</l><l>import image data</l></custom-block></script><list></list></block></script></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>FITS</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageWidth</l><block var="target"/><block s="reportListItem"><l>1</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>imageHeight</l><block var="target"/><block s="reportListItem"><l>2</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></block></custom-block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><custom-block s="copy of %s"><block var="data"/></custom-block></custom-block><block s="doDeleteFromList"><l><option>last</option></l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>rows</l><block var="target"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>columns</l><block var="target"/><l>1</l></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>minValue</l><block var="target"/><custom-block s="%s of %s"><l>min</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>maxValue</l><block var="target"/><custom-block s="%s of %s"><l>max</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>mean</l><block var="target"/><custom-block s="%s of %s"><l>mean</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>stddev</l><block var="target"/><custom-block s="%s of %s"><l>standard-deviation</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></custom-block></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: oops...anything went wrong!</l><l>import image data</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; %&apos;color&apos; image log? %&apos;log&apos; alpha %&apos;alpha&apos; $nl from myData on %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="176.39570312500018" collapsed="false">Generates, adds or mixes an image (with offsets) from the FITS or RGB data (placed in myData) in different colors.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">create<options>create&#xD;add&#xD;mix</options></input><input type="%s" readonly="true">gray<options>gray&#xD;red&#xD;green&#xD;blue&#xD;false-color&#xD;RGB</options></input><input type="%b">false</input><input type="%n">255<options>255&#xD;0</options></input><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite&#xD;theStage</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costume</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>add image to ImagePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block></list></block><block s="reportIsA"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><l><option>list</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: invalid image data!</l><l>add image to ImagePad</l></custom-block></script><list></list></block><block s="doSetVar"><l>color</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="color"/><l> </l></block></block></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="color"/><l>RGB</l></list></block><block s="reportVariadicNotEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB-images only createable with RGB-data!</l><l>add image to ImagePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="selection"/><l>create</l></list></block><block s="reportNot"><block s="reportIsA"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><l><option>costume</option></l></block></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><l>lightGray</l></custom-block></block></script><list></list></block><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>offsets</l><l>theStage</l><block s="reportNewList"><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><l>theStage</l></custom-block></block><l>2</l></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><l>theStage</l></custom-block></block><l>2</l></block></list></block></custom-block></script><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block var="target"/></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block var="target"/></custom-block><l>lightGray</l></custom-block></block></script><list></list></block><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><l>0</l><l>0</l></list></block></custom-block></script></block></script><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_addImageToImagePad(data,properties,color,log,alpha,pixels,selection)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="color"/><block var="log"/><block var="alpha"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block var="selection"/></list></block></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block s="reportListItem"><l>1</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block></list></block><block s="reportVariadicGreaterThan"><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block s="reportListItem"><l>2</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block></list></block></list></block><script><custom-block s="set %txt to full size, bounded by %br left %n right %n top %n bottom %n"><block var="target"/><block s="reportQuotient"><block s="reportListItem"><l>1</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block><l>-2</l></block><block s="reportQuotient"><block s="reportListItem"><l>1</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block><l>2</l></block><block s="reportQuotient"><block s="reportListItem"><l>2</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block><l>2</l></block><block s="reportQuotient"><block s="reportListItem"><l>2</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block><l>-2</l></block></custom-block></script><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="draw list of points %&apos;data&apos; as %&apos;shape&apos; size: %&apos;size&apos; on %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos; with noise? %&apos;withNoise?&apos; range: %&apos;range&apos;" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="106.81866884275091" collapsed="false">Draws a list of &quot;points&quot; in different &quot;shapes&quot;. </comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%s" readonly="true">circles<options>circles&#xD;squares</options></input><input type="%n">5</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">20</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>source</l><l>x0</l><l>y0</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>draw list of points on ImgePad</l></custom-block></script><list></list></block><block s="doSetVar"><l>source</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>myData</l></list></block><block var="myData"/><block var="data"/></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="source"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only definied for matrices!</l><l>draw list of points on ImgePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing data!</l><l>draw list of points on ImgePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block><l>2</l></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates in a plane needed!</l><l>draw list of points on ImgePad</l></custom-block></script><list></list></block><block s="doSetVar"><l>source</l><custom-block s="columns %mult%s of %s %br from row %s to %s"><list><l>1</l><l>2</l></list><block var="source"/><l>1</l><l>last</l></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>source</l><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="value"/></block></list></block><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="value"/></block></block></list></block></block></script><list><l>value</l></list></block><block var="source"/></block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_drawListOfPoints(costume,data,shape,size,properties,withNoise,range)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block var="source"/><block var="shape"/><block var="size"/><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="withNoise?"/><block var="range"/></list></block></list></block></script></block-definition><block-definition s="set %&apos;color&apos; at %&apos;position&apos; on %&apos;sprite&apos; to %&apos;value&apos; $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="186.66666666666666" collapsed="false">Sets the RGB or image data value at (x|y) on costume or myData of target. </comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">RGB<options>RGB&#xD;image data in myData</options></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s">an appropriate value</input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>x</l><l>y</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>set value on ImagePad</l></custom-block></script><list></list></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>x</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><block s="doSetVar"><l>y</l><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block><block var="x"/></list></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block var="y"/></block></block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="position"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates required!</l><l>set value on ImagePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="color"/><l>RGB</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="value"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB data required!</l><l>set value on ImagePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>3</l></list></block><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="value"/></block><l>4</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB data required!</l><l>set value on ImagePad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="value"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB data required!</l><l>set value on ImagePad</l></custom-block></script><list></list></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><block var="value"/></custom-block><custom-block s="draw line from %mult%s to %mult%s on %txt %br using Snap! coordinates? %b"><list><block s="reportDifference"><block var="x"/><l>1</l></block><block var="y"/></list><list><block var="x"/><block var="y"/></list><l>thisSprite</l><l><bool>false</bool></l></custom-block></script><list><l><bool>true</bool></l><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block></list></block><script><block s="doSetVar"><l>x</l><block s="reportRound"><block var="x"/></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block var="y"/></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block var="target"/></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block var="target"/></custom-block></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>set value on ImagePad</l></custom-block></script><script><block s="doIfElse"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><l><option>list</option></l></block><block s="reportIsA"><block var="value"/><l><option>list</option></l></block></list></block><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><l><option>number</option></l></block><block s="reportIsA"><block var="value"/><l><option>number</option></l></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data format!</l><l>set value on ImagePad</l></custom-block></script><script><block s="doReplaceInList"><block s="reportVariadicSum"><list><block var="x"/><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>1</l></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block var="target"/></custom-block></list></block></list></block><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="value"/></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only RGB- and FITS-data supported!</l><l>set value on ImagePad</l></custom-block></script></block></script></list></block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; at %&apos;position&apos; on %&apos;sprite&apos; $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="144.52435312024363" collapsed="false">Reports the RGB value at the position (x|y) of the costume. </comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">RGB(A)<options>RGB(A)&#xD;image data of myData =imageData</options></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>x</l><l>y</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad!</l><l>RGB/... at ... on ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>x</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><block s="doSetVar"><l>y</l><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block><block var="x"/></list></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block var="y"/></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><custom-block s="ImagePadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><custom-block s="ImagePadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>RGB/... at ... on ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>RGB(A)</l></list></block><script><block s="doReport"><block s="reportListItem"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>1</l></block><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></list></block><block var="x"/></list></block><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></block></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block></list></block><script><block s="doSetVar"><l>x</l><block s="reportRound"><block var="x"/></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block var="y"/></block></block><block s="doReport"><block s="reportListItem"><block s="reportVariadicSum"><list><block var="x"/><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>1</l></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block var="target"/></custom-block></list></block></list></block><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no image data available in myData!</l><l>RGB/... at ... on ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; on %&apos;sprite&apos; by mouse $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="168.33333333333334" collapsed="false">Obtaining data with the mouse from an image stored in myData.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">imageValue<options>image value=imageValue&#xD;RGB value=RGBvalue&#xD;costume coordinates=costumeCoordinates&#xD;slice values from costume=costumeSlice&#xD;slice values from myData=dataSlice&#xD;line data=lineData&#xD;circle data=circleData&#xD;brightness</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>h</l><l>result</l><l>i</l><l>m</l><l>pixel</l><l>dist</l><l>dx</l><l>dy</l><l>points</l><l>x1</l><l>y1</l><l>x2</l><l>y2</l><l>x</l><l>y</l><l>p1</l><l>p2</l><l>w</l><l>h</l><l>secondCostume</l><l>ok</l><l>xold</l><l>yold</l><l>radius</l><l>sumOfValues</l><l>value</l><l>center</l><l>costume</l><l>target</l><l>targetCostume</l><l>targetCostumeWidth</l><l>targetCostumeHeight</l><l>targetXPosition</l><l>targetYPosition</l><l>targetSize</l><l>isDraggable</l><l>targetPixels</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad!</l><l>imageValue/... on ... by mouse</l></custom-block></script><list></list></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doSetVar"><l>isDraggable</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>draggable?</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>targetCostume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="targetCostume"/><l><option>costume</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no costume available!</l><l>imageValue/... on ... by mouse</l></custom-block></script><list></list></block><block s="doSetVar"><l>targetCostumeWidth</l><block s="reportGetImageAttribute"><l><option>width</option></l><block var="targetCostume"/></block></block><block s="doSetVar"><l>targetCostumeHeight</l><block s="reportGetImageAttribute"><l><option>height</option></l><block var="targetCostume"/></block></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doSetVar"><l>targetXPosition</l><block s="reportMonadic"><l><option>neg</option></l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></block></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></block></block><block s="doSetVar"><l>targetSize</l><l>100</l></block><block s="doSetVar"><l>x</l><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block></block></script><script><block s="doSetVar"><l>targetXPosition</l><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetSize</l><block s="reportAttributeOf"><l><option>size</option></l><block var="target"/></block></block><block s="doSetVar"><l>x</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></list></block><l>1</l></list></block></block></block></script></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>costumeCoordinates</l></list><comment w="121.68283420138891" collapsed="false">costume coordinates.</comment></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x</l><block s="reportDifference"><block var="x"/><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block var="y"/></block></block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><block s="reportRound"><block var="x"/></block><block s="reportRound"><block var="y"/></block></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>imageValue</l></list><comment w="121.68283420138891" collapsed="false">image value.</comment></block><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only defined for image data in FITS or RGB format!</l><l>imageValue/... on ... by mouse</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>imageValue/... on ... by mouse</l></custom-block></script><script><block s="doReport"><block s="reportListItem"><block s="reportVariadicSum"><list><block var="x"/><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>1</l></block><block var="targetCostumeWidth"/></list></block></list></block><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>RGBvalue</l></list><comment w="121.68283420138891" collapsed="false">RGB value.</comment></block><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block></list></block></block><script><block s="doReport"><l>ERROR: only defined for image data in FITS or RGB format!</l></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: coordinates out of range!</l><l>imageValue/... on ... by mouse</l></custom-block></script><script><block s="doReport"><block s="reportListItem"><block s="reportVariadicSum"><list><block var="x"/><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>1</l></block><block var="targetCostumeWidth"/></list></block></list></block><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="targetCostume"/></block></block></block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>lineData</l></list></block><script><block s="doWarp"><script><block s="doSetVar"><l>w</l><block var="targetCostumeWidth"/></block><block s="doSetVar"><l>h</l><block var="targetCostumeHeight"/></block><block s="doSetVar"><l>secondCostume</l><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="targetCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></block><custom-block s="set ImagePad line properties style: %txt %br width: %n color: %mult%s fill color: %mult%s on %txt"><l>continuous</l><l>1</l><list><l>orange</l></list><list><l>yellow</l></list><block var="target"/></custom-block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block></script><list></list></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doUntil"><block var="ok"/><script><block s="doIf"><block s="reportMouseDown"></block><script><block s="doSetVar"><l>p1</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeCoordinates</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p1"/></block><l>1</l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p1"/></block><block var="w"/></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p1"/></block><l>1</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p1"/></block><block var="h"/></list></block></list></block></list></block></list></block><script><block s="doSetVar"><l>xold</l><block s="reportListItem"><l>1</l><block var="p1"/></block></block><block s="doSetVar"><l>yold</l><block s="reportListItem"><l>2</l><block var="p1"/></block></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doUntil"><block var="ok"/><script><block s="doSetVar"><l>p2</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeCoordinates</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block var="p2"/></block><block var="xold"/></list></block></block><block s="reportNot"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>2</l><block var="p2"/></block><block var="yold"/></list></block></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="secondCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></list></block><block s="doSetVar"><l>xold</l><block s="reportListItem"><l>1</l><block var="p2"/></block></block><block s="doSetVar"><l>yold</l><block s="reportListItem"><l>2</l><block var="p2"/></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><l>drawLine</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="p1"/></block><block s="reportListItem"><l>2</l><block var="p1"/></block><block s="reportListItem"><l>1</l><block var="p2"/></block><block s="reportListItem"><l>2</l><block var="p2"/></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportMouseDown"></block></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p2"/></block><l>1</l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p2"/></block><block var="w"/></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p2"/></block><l>1</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p2"/></block><block var="h"/></list></block></list></block></list></block></list></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script></block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block var="secondCostume"/></list></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doReplaceInList"><l>1</l><block var="p1"/><block s="reportRound"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="p1"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block></block></block><block s="doReplaceInList"><l>2</l><block var="p1"/><block s="reportRound"><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block s="reportListItem"><l>2</l><block var="p1"/></block></block></block></block><block s="doReplaceInList"><l>1</l><block var="p2"/><block s="reportRound"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="p2"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block></block></block><block s="doReplaceInList"><l>2</l><block var="p2"/><block s="reportRound"><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block s="reportListItem"><l>2</l><block var="p2"/></block></block></block></block></script><list></list></block><custom-block s="set flag %s to %b"><l>draggable</l><block var="isDraggable"/></custom-block><block s="doReport"><block s="reportNewList"><list><block var="p1"/><block var="p2"/></list></block></block></script><list></list><comment w="90" collapsed="false">line data</comment></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="selection"/><l>costumeSlice</l></list></block><block s="reportVariadicEquals"><list><block var="selection"/><l>dataSlice</l></list></block></list><comment w="90" collapsed="false">slice data</comment></block><script><block s="doSetVar"><l>costume</l><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="targetCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></block><block s="doSetVar"><l>points</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>lineData</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doWarp"><script><block s="doSetVar"><l>dist</l><block s="reportRound"><custom-block s="Euclidean distance between %br point %mult%s and point %mult%s"><list><block s="reportListItem"><l>1</l><block var="points"/></block></list><list><block s="reportListItem"><l>2</l><block var="points"/></block></list></custom-block></block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="dist"/><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: points are too close together!</l><l>imageValue/... on ... by mouse</l></custom-block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>costumeSlice</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>SciS_collectSliceData(p1,p2,dist,imageData,width,height,imageType)</l><list><block s="reportListItem"><l>1</l><block var="points"/></block><block s="reportListItem"><l>2</l><block var="points"/></block><block var="dist"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/><l>RGB</l></list></block></block></script><script><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>SciS_collectSliceData(p1,p2,dist,imageData,width,height,imageType)</l><list><block s="reportListItem"><l>1</l><block var="points"/></block><block s="reportListItem"><l>2</l><block var="points"/></block><block var="dist"/><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/><custom-block s="ImagePadProperty %txt of %txt"><l>imageType</l><block var="target"/></custom-block></list></block></block></script></block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block var="costume"/></list></block><block s="doReport"><block var="result"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>circleData</l></list><comment w="90" collapsed="false">circle data</comment></block><script><block s="doWarp"><script><block s="doSetVar"><l>w</l><block var="targetCostumeWidth"/></block><block s="doSetVar"><l>h</l><block var="targetCostumeHeight"/></block><block s="doSetVar"><l>secondCostume</l><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="targetCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></block><block s="doSetVar"><l>costume</l><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="targetCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></block><custom-block s="set ImagePad line properties style: %txt %br width: %n color: %mult%s fill color: %mult%s on %txt"><l>continuous</l><l>1</l><list><l>orange</l></list><list><l>yellow</l></list><l>thisSprite</l></custom-block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block></script><list></list></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><block s="doUntil"><block var="ok"/><script><block s="doIf"><block s="reportMouseDown"></block><script><block s="doSetVar"><l>p1</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeCoordinates</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p1"/></block><l>1</l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="p1"/></block><block var="w"/></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p1"/></block><l>1</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="p1"/></block><block var="h"/></list></block></list></block></list></block></list></block><script><block s="doSetVar"><l>xold</l><block s="reportListItem"><l>1</l><block var="p1"/></block></block><block s="doSetVar"><l>yold</l><block s="reportListItem"><l>2</l><block var="p1"/></block></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><list></list></block></script></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block><block s="doUntil"><block var="ok"/><script><block s="doSetVar"><l>p2</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeCoordinates</l><block var="target"/><l><bool>false</bool></l></custom-block></block><block s="doSetVar"><l>radius</l><block s="reportRound"><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="p1"/></block><block s="reportListItem"><l>1</l><block var="p2"/></block></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="p1"/></block><block s="reportListItem"><l>1</l><block var="p2"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="p1"/></block><block s="reportListItem"><l>2</l><block var="p2"/></block></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="p1"/></block><block s="reportListItem"><l>2</l><block var="p2"/></block></block></list></block></list></block></block></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="secondCostume"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/></block></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><l>drawCircle</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportConcatenatedLists"><list><block var="p1"/><block s="reportNewList"><list><block var="radius"/></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block><block s="doIf"><block s="reportNot"><block s="reportMouseDown"></block></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script></block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><block var="isDraggable"/></custom-block></script><list></list></block><list></list></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block var="secondCostume"/></list></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doReplaceInList"><l>1</l><block var="p1"/><block s="reportRound"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="p1"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block></block></block><block s="doReplaceInList"><l>2</l><block var="p1"/><block s="reportRound"><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block s="reportListItem"><l>2</l><block var="p1"/></block></block></block></block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><block var="p1"/><block var="radius"/></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>brightness</l></list></block><script><block s="doSetVar"><l>h</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>circleData</l><block var="target"/><l><bool>false</bool></l></custom-block></block><custom-block s="set flag %s to %b"><l>draggable</l><block var="isDraggable"/></custom-block><block s="doReport"><block s="reportApplyExtension"><l>SciS_brightness(data,xpos,ypos,r,width,height,typeOfData,typeOfArea)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="h"/></block></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>1</l><block var="h"/></block></block><block s="reportListItem"><l>2</l><block var="h"/></block><block var="targetCostumeWidth"/><block var="targetCostumeHeight"/><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>circle</l></list></block></block></script><list></list><comment w="90" collapsed="false">brightness</comment></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: unknown selection</l><l>imageValue/... on ... by mouse</l></custom-block></script></block-definition><block-definition s="affine transformation of costume %&apos;costume&apos; $nl by %&apos;originalPoints&apos; --&gt; %&apos;targetPoints&apos; using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="210.83333333333334" collapsed="false">Applies an affine transformation to a costume.&#xD;</comment><header></header><code></code><translations></translations><inputs><input type="%s">currentCostume</input><input type="%l"></input><input type="%l"></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>a11</l><l>a12</l><l>a13</l><l>a21</l><l>a22</l><l>a23</l><l>S</l><l>P1</l><l>P2</l><l>P3</l><l>Q1</l><l>Q2</l><l>Q3</l><l>width</l><l>height</l><l>ok</l></list></block><block s="doSetVar"><l>costume</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="costume"/><l>currentCostume</l></list></block><block s="reportGet"><l><option>costume</option></l></block><block var="costume"/></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="costume"/><l><option>costume</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: costume required!</l><l>affine transformation of costume ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>true</bool></l></block></block><block s="doIfElse"><block s="reportIsA"><block var="originalPoints"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="originalPoints"/></block><l>3</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 3 original points required!</l><l>affine transformation of costume ...</l></custom-block></script><script><block s="doFor"><l>i</l><l>1</l><l>3</l><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><block var="i"/><block var="originalPoints"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="originalPoints"/></block></block><l>2</l></list></block></list></block></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of original points  required!</l><l>affine transformation of costume ...</l></custom-block></script></block><block s="doIfElse"><block s="reportIsA"><block var="targetPoints"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="targetPoints"/></block><l>3</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: 3 target points required!</l><l>affine transformation of costume ...</l></custom-block></script><script><block s="doFor"><l>i</l><l>1</l><l>3</l><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><block var="i"/><block var="targetPoints"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><block var="i"/><block var="targetPoints"/></block></block><l>2</l></list></block></list></block></block><script><block s="doSetVar"><l>ok</l><block s="reportBoolean"><l><bool>false</bool></l></block></block></script><list></list></block></script></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list of target points  required!</l><l>affine transformation of costume ...</l></custom-block></script></block><block s="doIf"><block s="reportNot"><block var="ok"/></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: dimensions should be 2!</l><l>affine transformation of costume ...</l></custom-block></script><list></list></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>width</l><block s="reportGetImageAttribute"><l><option>width</option></l><block var="costume"/></block></block><block s="doSetVar"><l>height</l><block s="reportGetImageAttribute"><l><option>height</option></l><block var="costume"/></block></block><block s="doReplaceInList"><l>1</l><block var="originalPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="originalPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>1</l><block var="originalPoints"/></block></block></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="originalPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="originalPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>2</l><block var="originalPoints"/></block></block></block></list></block></block><block s="doReplaceInList"><l>3</l><block var="originalPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>3</l><block var="originalPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>3</l><block var="originalPoints"/></block></block></block></list></block></block><block s="doReplaceInList"><l>1</l><block var="targetPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="targetPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>1</l><block var="targetPoints"/></block></block></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="targetPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>2</l><block var="targetPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>2</l><block var="targetPoints"/></block></block></block></list></block></block><block s="doReplaceInList"><l>3</l><block var="targetPoints"/><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block var="width"/><l>2</l></block><block s="reportListItem"><l>1</l><block s="reportListItem"><l>3</l><block var="targetPoints"/></block></block></list></block><block s="reportDifference"><block s="reportQuotient"><block var="height"/><l>2</l></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>3</l><block var="targetPoints"/></block></block></block></list></block></block></script><list></list></block><block s="doSetVar"><l>P1</l><block s="reportListItem"><l>1</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>P2</l><block s="reportListItem"><l>2</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>P3</l><block s="reportListItem"><l>3</l><block var="originalPoints"/></block></block><block s="doSetVar"><l>Q1</l><block s="reportListItem"><l>1</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>Q2</l><block s="reportListItem"><l>2</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>Q3</l><block s="reportListItem"><l>3</l><block var="targetPoints"/></block></block><block s="doSetVar"><l>S</l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="P2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="P3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="P1"/></block></block></list></block></list></block></list></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicEquals"><list><block var="S"/><l>0</l></list></block></block><script><block s="doSetVar"><l>a11</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q2"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q3"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q1"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a12</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q3"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q1"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="Q2"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a21</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q2"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q3"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q1"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a22</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q3"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q1"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="Q2"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a13</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></list></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>1</l><block var="Q3"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></list></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>1</l><block var="Q1"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>1</l><block var="Q2"/></block></list></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doSetVar"><l>a23</l><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P1"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></list></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P2"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="Q3"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P3"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></list></block></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>1</l><block var="P3"/></block><block s="reportDifference"><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P2"/></block><block s="reportListItem"><l>2</l><block var="Q1"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportListItem"><l>2</l><block var="P1"/></block><block s="reportListItem"><l>2</l><block var="Q2"/></block></list></block></block></list></block></list></block></list></block><block var="S"/></block></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_affineTransformation(a11,a12,a13,a21,a22,a23,w,h,data,typeOfData)</l><list><block var="a11"/><block var="a12"/><block var="a13"/><block var="a21"/><block var="a22"/><block var="a23"/><block s="reportGetImageAttribute"><l><option>width</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>height</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="costume"/></block><l>RGB</l></list></block></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: denominator is zero</l><l>affine transformation of costume ...</l></custom-block></script></block></script></block-definition><block-definition s="brightness around %&apos;position&apos; within radius %&apos;r&apos; $nl calculated with %&apos;source&apos; of ImagePad %&apos;sprite&apos; $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="192.61904761904816" collapsed="false">Reports the brightness of a FITS or RGB image around x|y in a circle with radius r.&#xD;Attention: JS-coordinates are used!</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%n">10</input><input type="%s" readonly="true">myData<options>myData&#xD;costume</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>data</l><l>x</l><l>y</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad!</l><l>brightness around ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="source"/><l>myData</l></list></block><script><block s="doSetVar"><l>data</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>data</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>typeOfData</l><block var="target"/><l>RGB</l></custom-block></script></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>FITS</l></list></block><block s="reportVariadicEquals"><list><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>RGB</l></list></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only FITS or RGB data supported!</l><l>brightness around ...</l></custom-block></script><script><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>x</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><block s="doSetVar"><l>y</l><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x</l><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block><block var="x"/></list></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block><block var="y"/></block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_brightness(data,xpos,ypos,r,width,height,typeOfData,typeOfArea)</l><list><block var="data"/><block var="x"/><block var="y"/><block var="r"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block><custom-block s="ImagePadProperty %txt of %txt"><l>typeOfData</l><block var="target"/></custom-block><l>circle</l></list></block></block></script></block></script></block></script></block-definition><block-definition s="remove sprite %&apos;sprite&apos;" type="command" category="control" space="true"><comment x="0" y="0" w="142.46510416666678" collapsed="false">Removes the calling sprite.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>remove sprite ...</l></custom-block></script><list></list></block><block s="doApplyExtension"><l>SciS_removeSprite(sprite)</l><list><block var="target"/></list></block></script></block></script></block-definition><block-definition s="select sprite %&apos;sprite&apos;" type="command" category="control"><comment x="0" y="0" w="123.59999999999998" collapsed="false">Selects a sprite as active.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></list></block><script><block s="doApplyExtension"><l>SciS_selectSprite(sprite)</l><list><block var="target"/></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>select sprite</l></custom-block></script></block></script></block></script></block-definition><block-definition s="let %&apos;sprite&apos; respond to %&apos;event&apos;" type="command" category="0. My own blocks" space="true"><comment x="0" y="0" w="108.66666666666667" collapsed="false">This block is called by dynamically generated event handlers. You should define what is to happen for the corresponding sprites. Two examples are included for the LineTool and the SquareTool.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s" readonly="true">receiveGo<options>receiveGo&#xD;receiveKey enter&#xD;receiveKey space&#xD;receiveKey +&#xD;receiveKey -&#xD;receiveKey up arrow&#xD;receiveKey down arrow&#xD;receiveKey left arrow&#xD;receiveKey right arrow&#xD;receiveInteraction clicked&#xD;receiveInteraction pressed&#xD;receiveInteraction mouse-entered&#xD;receiveInteraction mouse-departed&#xD;receiveInteraction scrolled up&#xD;receiveInteraction scrolleddown&#xD;receiveMessage</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>TheLineTool</l></block></list></block><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>LineEnd1</l></block></list></block><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>LineEnd2</l></block></list></block></list></block><script><custom-block s="let part %s of the TheLineTool respond to %s"><block var="target"/><block var="event"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>name</option></l></block></autolambda><list></list></block><list></list></block><l>1</l><l>10</l></custom-block><l>SquareTool</l></list></block><script><custom-block s="let SquareTool %s respond to %s"><block var="target"/><block var="event"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>name</option></l></block></autolambda><list></list></block><list></list></block><l>TheNewSprite</l></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey +</l></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="changeScale"><l>10</l></block></script><list></list></block><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey -</l></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportAttributeOf"><l><option>size</option></l><block var="target"/></block><l>20</l></list></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="changeScale"><l>-10</l></block></script><list></list></block><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction clicked</l></list></block><script><custom-block s="remove sprite %s"><block var="target"/></custom-block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="image data %&apos;image1&apos; width %&apos;width1&apos; height %&apos;height1&apos; $nl %&apos;operation&apos; image data %&apos;image2&apos; width %&apos;width2&apos; height %&apos;height2&apos; $nl with offsets %&apos;xOffset&apos; %&apos;yOffset&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="210.66666666666666" collapsed="false">Arthmetic with image data (FITS or RGB).&#xD;RGB data are normalized to the range 0 ..255.&#xD;The last element of the result contains the dimensions of the imagge.</comment><header></header><code></code><translations></translations><inputs><input type="%l">of image1</input><input type="%n">100</input><input type="%n">100</input><input type="%txt" readonly="true">+<options>+&#xD;-&#xD;*&#xD;/</options></input><input type="%l">of image2</input><input type="%n">100</input><input type="%n">100</input><input type="%n">0</input><input type="%n">0</input></inputs><script><block s="doDeclareVariables"><list><l>imageType1</l><l>imageType2</l></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="image1"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="image2"/></block><l>0</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no imagedata available!</l><l>image data arithmetic</l></custom-block></script><list></list></block><block s="doSetVar"><l>imageType1</l><block s="reportIfElse"><custom-block s="is %s a %txt"><block var="image1"/><l>vector</l></custom-block><l>FITS</l><block s="reportIfElse"><custom-block s="is %s a %txt"><block var="image1"/><l>matrix</l></custom-block><block s="reportIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="image1"/></block></block><l>3</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="image1"/></block></block><l>4</l></list></block></list></block><l>RGB</l><l>unknown</l></block><l>unknown</l></block></block></block><block s="doSetVar"><l>imageType2</l><block s="reportIfElse"><custom-block s="is %s a %txt"><block var="image2"/><l>vector</l></custom-block><l>FITS</l><block s="reportIfElse"><custom-block s="is %s a %txt"><block var="image2"/><l>matrix</l></custom-block><block s="reportIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="image2"/></block></block><l>3</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="image2"/></block></block><l>4</l></list></block></list></block><l>RGB</l><l>unknown</l></block><l>unknown</l></block></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="imageType1"/><l>unknown</l></list></block><block s="reportVariadicEquals"><list><block var="imageType2"/><l>unknown</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only FITS or RGB data processable!</l><l>image data arithmetic</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicNotEquals"><list><block var="imageType1"/><block var="imageType2"/></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: only data of the same type processable!</l><l>image data arithmetic</l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_imageArithmetic(image1,image2,imageType,xOffset,yOffset,width1,height1,width2,height2,operation)</l><list><block var="image1"/><block var="image2"/><block var="imageType1"/><block var="xOffset"/><block var="yOffset"/><block var="width1"/><block var="height1"/><block var="width2"/><block var="height2"/><block var="operation"/></list></block></block></script></block-definition><block-definition s="Example: slice data of an image" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="237.3333333333334" collapsed="false">Configure the sprite as an ImagePad and load an image as costume!</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>sliceData</l><l>diagram</l></list></block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>true</bool></l><l>15</l></custom-block><block s="doSwitchToCostume"><l>Tempel</l></block><block s="doSetVar"><l>sliceData</l><custom-block s="%s on %txt by mouse %br using Snap! coordinates %b"><l>costumeSlice</l><l>thisSprite</l><l><bool>false</bool></l></custom-block></block><block s="doSetVar"><l>sliceData</l><block s="reportMap"><block s="reifyReporter"><script><block s="doDeleteFromList"><l>4</l><block s="reportListItem"><l>2</l><block var="value"/></block></block><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="value"/></block><custom-block s="%s of %s"><l>mean</l><block s="reportListItem"><l>2</l><block var="value"/></block></custom-block></list></block></block></script><list><l>value</l></list></block><block var="sliceData"/></block></block><block s="doSetVar"><l>diagram</l><block s="newClone"><l><option>myself</option></l></block></block><block s="doTellTo"><block var="diagram"/><block s="reifyScript"><script><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><l>Slice Diagram</l><l>18</l><l>distance</l><l>16</l><l>brightness</l><l>16</l></custom-block><custom-block s="set PlotPad line properties style: %txt %br width: %n color: %mult%s on %txt"><l>continuous</l><l>1</l><list><l>black</l></list><l>thisSprite</l></custom-block><custom-block s="set PlotPad marker properties style: %txt width: %n %br color: %mult%s connected? %b on %txt"><l>none</l><l>5</l><list><l>red</l></list><l><bool>true</bool></l><l>thisSprite</l></custom-block><custom-block s="get ranges for PlotPad %txt %br from %s with border %n"><l>thisSprite</l><block var="sliceData"/><l>0.1</l></custom-block><custom-block s="set pretty ranges on PlotPad %txt"><l>thisSprite</l></custom-block><custom-block s="add dataplot of numeric data: %s to PlotPad %txt"><block var="sliceData"/><l>thisSprite</l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block></script><list></list></block><list></list></block></script></block-definition><block-definition s="Example: false color image of moon crater Albertarius" type="command" category="6. ImagePad for image operations"><comment x="0" y="0" w="237.3333333333334" collapsed="false">An image of Albategnius should be loaded as costume of the sprite!</comment><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>245</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doSwitchToCostume"><l>albategnius</l></block><custom-block s="import image data from %s %br to myData of %s and set properties"><l>currentCostume</l><l>thisSprite</l></custom-block><custom-block s="%txt %s image log? %b alpha %n %br from myData on %s"><l>create</l><l>false-color</l><l><bool>true</bool></l><l>255</l><l>thisSprite</l></custom-block></script></block-definition><block-definition s="Example: random points on an image" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>green</l><l><bool>true</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doSetVar"><l>myData</l><custom-block s="%n random points with ranges x: %n %n %br y: %n %n inside of a %s"><l>100</l><l>10</l><l>390</l><l>10</l><l>290</l><l>square</l></custom-block></block><custom-block s="draw list of points %s as %s size: %n on %txt %br using Snap! coordinates? %b with noise? %b range: %n"><l>myData</l><l>circles</l><l>5</l><l>thisSprite</l><l><bool>false</bool></l><l><bool>true</bool></l><l>50</l></custom-block></script></block-definition><block-definition s="Example: space modulation" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>positions</l><l>numberOfPoints</l><l>t</l><l>a</l><l>newPositions</l><l>s</l><l>costume</l></list></block><block s="bubble"><l>One moment, please!</l></block><block s="doWarp"><script><custom-block s="start SciSnap! stage: %n X %n"><l>600</l><l>700</l></custom-block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><l>thisSprite</l><l>600</l><l>100</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doWait"><l>2</l></block><block s="bubble"><l></l></block><block s="gotoXY"><l>0</l><l>300</l></block><block s="show"></block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>thisSprite</l><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><l>thisSprite</l><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><l>Space-Modulation</l><list><l>150</l><l>50</l></list><l>40</l><l><bool>true</bool></l><l>thisSprite</l><l><bool>false</bool></l></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><l>inspired by Bart Vegter, The Eye Museum Amsterdam</l><list><l>80</l><l>80</l></list><l>20</l><l><bool>true</bool></l><l>thisSprite</l><l><bool>false</bool></l></custom-block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>theStage</l><l>600</l><l>700</l><l>white</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><l>0</l><l>0</l></list><list><l>600</l><l>700</l></list><l>theStage</l><l><bool>false</bool></l></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><custom-block s="%s as %txt"><l>white</l><l>RGB-value</l></custom-block></custom-block><block s="doSetVar"><l>costume</l><custom-block s="copy of costume %s"><block s="reportAskFor"><l>Stage</l><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block></block><block s="doSetVar"><l>numberOfPoints</l><block s="reportVariadicProduct"><list><l>14</l><l>14</l></list></block></block><block s="doSetVar"><l>positions</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>y</l><l>1</l><l>70</l><script><block s="doFor"><l>x</l><l>1</l><l>70</l><script><block s="doAddToList"><block s="reportNewList"><list><block var="x"/><block var="y"/><block s="reportVariadicSum"><list><l>-1440</l><block s="reportVariadicProduct"><list><block var="x"/><l>40</l></list></block></list></block><block s="reportDifference"><l>1380</l><block s="reportVariadicProduct"><list><block var="y"/><l>40</l></list></block></block><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="x"/><l>35.5</l></block><block s="reportDifference"><block var="x"/><l>35.5</l></block></list></block><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y"/><l>35.5</l></block><block s="reportDifference"><block var="y"/><l>35.5</l></block></list></block></list></block></block></list></block><block var="positions"/></block></script></block></script></block><block s="doSetVar"><l>t</l><l>0</l></block><block s="doSetVar"><l>a</l><l>0.1</l></block></script></block><block s="doRepeat"><l>225</l><script><block s="doSetVar"><l>s</l><block s="reportVariadicProduct"><list><l>0.5</l><block var="a"/><block var="t"/><block var="t"/></list></block></block><block s="doSetVar"><l>newPositions</l><block s="reportAtomicMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportNewList"><list><block s="reportDifference"><block s="reportListItem"><l>3</l><block var="position"/></block><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="s"/><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><l>35.5</l></block></list></block><block s="reportListItem"><l>5</l><block var="position"/></block></block></block><block s="reportDifference"><block s="reportListItem"><l>4</l><block var="position"/></block><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="s"/><block s="reportDifference"><l>35.5</l><block s="reportListItem"><l>2</l><block var="position"/></block></block></list></block><block s="reportListItem"><l>5</l><block var="position"/></block></block></block></list></block></block></script><list><l>position</l></list></block><block var="positions"/></block></block><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="copy of costume %s"><block var="costume"/></custom-block></block></script><list></list></block><list></list></block><custom-block s="draw list of points %s as %s size: %n on %txt %br using Snap! coordinates? %b with noise? %b range: %n"><block var="newPositions"/><l>circles</l><l>2</l><l>theStage</l><l><bool>true</bool></l><l><bool>true</bool></l><l>100</l></custom-block><block s="doChangeVar"><l>t</l><l>1</l></block></script></block></script></block-definition><block-definition s="INFO &quot;SciSnap! globals&quot;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="99.33333333333333" collapsed="false">Creates an Infobox about this category. </comment><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "SciSnap! globals!"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks to convert Snap! to SciSnap!, i.e. to create the corresponding variables,&#xD;to add some new blocks to the standard categories, and to create the new categories as well as the costumes of SciSnap!.&#xD;Furthermore, there are blocks for configuring and using "SketchPads", e.g. to draw on them or to close them&#xD;by mouseclick. The SketchPads of the other categories - e.g. the PlotPad, MathPad, ... - are based on this functionality.&#xD;The category "SciSnap! globals" also contains blocks for reading and writing different file types&#xD;as well as file or file-list selection with the mouse.&#xD;Finally, there is a block to display error messages and save them in the SciSnap!Messages variable.</l></custom-block></custom-block></script></block-definition><block-definition s="INFO &quot;Window to ImagePads&quot;" type="command" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "Window to ImagePads"</l></custom-block><custom-block s="translate %txt"><l>A "window" is an ImagePad, used to display other ImagePads which are switched to the "hide"-modus.&#xD;The "currrent image" of a window can be scrolled, magnified or shrinked in the background.&#xD;The part behind the window is displayed in the window using the paste command.&#xD;Its "instruments" can be used to measure distances or brightness in the window.&#xD;</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a window to ImagePad %&apos;ImagePad&apos;" type="command" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s">anotherSprite<options>anotherSprite&#xD;theStage&#xD;thisSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doSetVar"><l>ImagePad</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="ImagePad"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="ImagePad"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="ImagePad"/></block></block></block></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block var="ImagePad"/></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Don&apos;t use the same sprite as window!</l><l>configure as a window</l></custom-block></script><script><block s="doIfElse"><custom-block s="is %s an ImagePad?"><block var="ImagePad"/></custom-block><script><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><block var="target"/><l>20</l><l>20</l><l>245</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set ImagePad line properties style: %txt %br width: %n color: %mult%s fill color: %mult%s on %txt"><l>continuous</l><l>1</l><list><l>black</l></list><list><l>lightGray</l></list><block var="target"/></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>magnification</l><block var="target"/><l>20</l></custom-block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><l></l><l></l><l>lightGray</l></custom-block></block><block s="setScale"><l>100</l></block><block s="show"></block></script><list></list></block><list><block s="reportVariadicMin"><list><block s="reportAttributeOf"><l><option>width</option></l><block var="ImagePad"/></block><block s="reportListItem"><l>1</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block></list></block><block s="reportVariadicMin"><list><block s="reportAttributeOf"><l><option>height</option></l><block var="ImagePad"/></block><block s="reportListItem"><l>2</l><custom-block s="setting %s"><l>Stage size</l></custom-block></block></list></block></list></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myImages</l><l>currentImage</l><l>myLineTool</l><l>mySquareTools</l></list></custom-block></script><list></list></block><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block><custom-block s="set %txt of %txt to %s"><l>myImages</l><block var="target"/><block s="reportNewList"><list><block var="ImagePad"/></list></block></custom-block><custom-block s="set %txt of %txt to %s"><l>currentImage</l><block var="target"/><block var="ImagePad"/></custom-block><custom-block s="set %txt of %txt to %s"><l>myLineTool</l><block var="target"/><l>not set</l></custom-block><custom-block s="set %txt of %txt to %s"><l>mySquareTools</l><block var="target"/><block s="reportNewList"><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><custom-block s="set ImagePadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="doTellTo"><block var="ImagePad"/><block s="reifyScript"><script><block s="doPasteOn"><block var="target"/></block><block s="hide"></block></script><list></list></block><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Sprite isn&apos;t configured as ImagePad.</l><l>configure as a window</l></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="is %&apos;sprite&apos; a window to Imagepads?" type="predicate" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doReport"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportListContainsItem"><l/><l></l></block></autolambda><list></list></block><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>var_names(scope)</l><list><l>sprite</l></list></block></autolambda><list></list></block><list></list></block><l>myImages</l></list></block></block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; ImagePad %&apos;imagePad&apos; to/from image stack $nl of window %&apos;sprite&apos; and adjust width/height %&apos;adjust&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">add<options>add&#xD;remove</options></input><input type="%obj"></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>n</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block var="imagePad"/></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprites shouldn&apos;t be indentical!</l><l>add .. to image stack</l></custom-block></script><script><block s="doIfElse"><custom-block s="is %s an ImagePad?"><block var="imagePad"/></custom-block><script><block s="doIfElse"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>add</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListIndex"><block var="imagePad"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block><l>0</l></list></block><script><block s="doAddToList"><block var="imagePad"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block><block s="doTellTo"><block var="imagePad"/><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Image already exists in imagestack!</l><l>add .. to image stack</l></custom-block></script></block></script><script><block s="doSetVar"><l>n</l><block s="reportListIndex"><block var="imagePad"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><script><block s="doDeleteFromList"><block var="n"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block var="imagePad"/></list></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block><l>0</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>currentImage</l><block var="target"/><block s="reportListItem"><l>1</l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></custom-block><custom-block s="switch to %s image of window %s %br and adjust width/height %b"><l>1</l><block var="target"/><block var="adjust"/></custom-block></script><script><custom-block s="switch to %s image of window %s %br and adjust width/height %b"><l>next</l><block var="target"/><block var="adjust"/></custom-block></script></block></script><list></list></block></script><list></list></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: second sprite isn&apos;t configured as Window!</l><l>add .. to image stack</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: first sprite isn&apos;t configured as ImagePad!</l><l>add .. to image stack</l></custom-block></script></block></script></block></script></block></script></block-definition><block-definition s="switch to %&apos;selection&apos; image of window %&apos;sprite&apos; $nl and adjust width/height %&apos;adjust&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s">next<options>next&#xD;first&#xD;last&#xD;any number = number</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>n</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>next</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListIndex"><block var="currentImage"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block><block s="doChangeVar"><l>n</l><l>1</l></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><list></list></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>first</l></list></block><script><block s="doSetVar"><l>n</l><l>1</l></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>last</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block></script><script><block s="doIfElse"><block s="reportIsA"><block var="selection"/><l><option>number</option></l></block><script><block s="doSetVar"><l>n</l><block var="selection"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong parameter!</l><l>switch to image of window</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script></block></script></block></script></block></script></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block><l>1</l></list></block><script><block s="doSetVar"><l>n</l><l>0</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></list></block><script><block s="doSetVar"><l>n</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>currentImage</l><block var="target"/><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></custom-block><block s="doIf"><block var="adjust"/><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block><block s="reportAttributeOf"><l><option>height</option></l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>myImages</l><block var="target"/></block></block></block><l>lightGray</l></custom-block></list></block></script><list></list></block><block s="doTellTo"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block s="reifyScript"><script><block s="doPasteOn"><block var="target"/></block></script><list></list></block><list></list></block></script><script><custom-block s="set %txt of %txt to %s"><l>currentImage</l><block var="target"/><l>not set</l></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>lightGray</l></custom-block></list></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as Window!</l><l>switch to image of window</l></custom-block></script></block></script></block></script></block-definition><block-definition s="update window %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Target isn&apos;t configured as an ImagePad!</l><l>update window</l></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>lightGray</l></custom-block></list></block><block s="doTellTo"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block s="reifyScript"><script><block s="doPasteOn"><block var="target"/></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="magnify or shrink image on window %&apos;sprite&apos; by %&apos;n&apos; %" type="command" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">25</input></inputs><script><block s="doDeclareVariables"><list><l>new size</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Target isn&apos;t configured as a window to an ImagePad!</l><l>magnify or shrink image on window</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: imagestack is empty!</l><l>magnify or shrink image on window</l></custom-block></script><list></list></block><block s="doSetVar"><l>new size</l><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>size</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block><block var="n"/></list></block></block><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block var="new size"/><l>5</l></list></block><script><block s="doSetVar"><l>new size</l><l>5</l></block></script><list></list></block><block s="doTellTo"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block s="reifyScript"><script><block s="setScale"><l></l></block></script><list></list></block><list><block var="new size"/></list></block><custom-block s="update window %s"><block var="target"/></custom-block><custom-block s="update tool positions on %s"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="move image of window %&apos;sprite&apos; by %&apos;dx&apos; %&apos;dy&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">10</input><input type="%n">10</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>image</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Target isn&apos;t configured as a window to an ImagePad!</l><l>move image on window</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: imagestack is empty!</l><l>move image on window</l></custom-block></script><list></list></block><block s="doSetVar"><l>image</l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block><block s="doTellTo"><block var="image"/><block s="reifyScript"><script><block s="changeXPosition"><l></l></block><block s="changeYPosition"><l></l></block><block s="doPasteOn"><l></l></block></script><list></list></block><list><block var="dx"/><block var="dy"/><block var="target"/></list></block><custom-block s="update window %s"><block var="target"/></custom-block><custom-block s="update tool positions on %s"><block var="target"/></custom-block></script></block></script><scripts><script x="445.99999999999994" y="252.5000000000001"><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>left</option></l><block var="image"/></block><block var="dx"/></list></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></list></block><script><block s="doSetVar"><l>dx</l><block s="reportDifference"><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="image"/></block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>right</option></l><block var="image"/></block><block var="dx"/></list></block><block s="reportAttributeOf"><l><option>right</option></l><block var="target"/></block></list></block><script><block s="doSetVar"><l>dx</l><block s="reportDifference"><block s="reportAttributeOf"><l><option>right</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>right</option></l><block var="image"/></block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>bottom</option></l><block var="image"/></block><block var="dy"/></list></block><block s="reportAttributeOf"><l><option>bottom</option></l><block var="target"/></block></list></block><script><block s="doSetVar"><l>dy</l><block s="reportDifference"><block s="reportAttributeOf"><l><option>bottom</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>bottom</option></l><block var="image"/></block></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>top</option></l><block var="image"/></block><block var="dy"/></list></block><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block></list></block><script><block s="doSetVar"><l>dy</l><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>top</option></l><block var="image"/></block></block></block></script><list></list></block></script></scripts></block-definition><block-definition s="scroll image of window %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>dx</l><l>dy</l><l>oldMouseX</l><l>oldMouseY</l><l>target</l><l>isDraggable</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Target isn&apos;t configured as a window to an ImagePad!</l><l>scroll image on window</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: imagestack is empty!</l><l>scroll image on window</l></custom-block></script><list></list></block><block s="doSetVar"><l>isDraggable</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>draggable?</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>false</bool></l></custom-block></script><list></list></block><list></list></block><block s="doSetVar"><l>oldMouseX</l><block s="reportMouseX"></block></block><block s="doSetVar"><l>oldMouseY</l><block s="reportMouseY"></block></block><block s="doUntil"><block s="reportNot"><block s="reportMouseDown"></block></block><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicNotEquals"><list><block var="oldMouseX"/><block s="reportMouseX"></block></list></block><block s="reportVariadicNotEquals"><list><block var="oldMouseY"/><block s="reportMouseY"></block></list></block></list></block><script><block s="doWarp"><script><block s="doSetVar"><l>dx</l><block s="reportDifference"><block s="reportMouseX"></block><block var="oldMouseX"/></block></block><block s="doSetVar"><l>dy</l><block s="reportDifference"><block s="reportMouseY"></block><block var="oldMouseY"/></block></block><custom-block s="move image of window %s by %n %n"><block var="target"/><block var="dx"/><block var="dy"/></custom-block><block s="doSetVar"><l>oldMouseX</l><block s="reportMouseX"></block></block><block s="doSetVar"><l>oldMouseY</l><block s="reportMouseY"></block></block><custom-block s="update tool positions on %s"><block var="target"/></custom-block></script></block></script><list></list></block></script></block><block s="doIf"><block var="isDraggable"/><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="set flag %s to %b"><l>draggable</l><l><bool>true</bool></l></custom-block></script><list></list></block><list></list></block></script><list></list></block></script></block-definition><block-definition s="stage position %&apos;position&apos; $arrowRightOutline %&apos;selection&apos; on %&apos;sprite&apos; $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="199.33333333333317" collapsed="false">Stage coordinates are alternatively described as Snap! or JavaScript coordinates, window and image coordinates are always JavaScript coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%txt" readonly="true">window-position<options>window-position&#xD;image-position&#xD;image-value</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>imageOffsets</l><l>windowOffsets</l><l>imageSize</l><l>target</l><l>xi</l><l>yi</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target is not a window to an ImagePad!</l><l>stage position --&gt; ...</l></custom-block></script><list></list></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>position</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportListItem"><l>2</l><block var="position"/></block></block></list></block><comment w="90" collapsed="false">From now on only JS-coordinates!</comment></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>window-position</l></list></block><script><block s="doSetVar"><l>windowOffsets</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block></block></list></block></block><block s="doReport"><block s="reportNewList"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportListItem"><l>1</l><block var="windowOffsets"/></block></block><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="position"/></block><block s="reportListItem"><l>2</l><block var="windowOffsets"/></block></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="selection"/><l>image-position</l></list></block><block s="reportVariadicEquals"><list><block var="selection"/><l>image-value</l></list></block></list></block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no ImagePad available!</l><l>stage position --&gt; ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>imageOffsets</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportAttributeOf"><l><option>left</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>top</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block></block></list></block></block><block s="doSetVar"><l>imageSize</l><block s="reportQuotient"><block s="reportAskFor"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block s="reifyReporter"><autolambda><block s="getScale"></block></autolambda><list></list></block><list></list></block><l>100</l></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="imageSize"/><l>NaN</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no Image properties available!</l><l>stage position --&gt; ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>xi</l><block s="reportQuotient"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportListItem"><l>1</l><block var="imageOffsets"/></block></block><block var="imageSize"/></block></block><block s="doSetVar"><l>yi</l><block s="reportQuotient"><block s="reportDifference"><block s="reportListItem"><l>2</l><block var="position"/></block><block s="reportListItem"><l>2</l><block var="imageOffsets"/></block></block><block var="imageSize"/></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>image-position</l></list></block><script><block s="doReport"><block s="reportNewList"><list><block var="xi"/><block var="yi"/></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="xi"/><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block var="yi"/><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></list></block><block s="reportVariadicLessThan"><list><block var="xi"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="yi"/><l>1</l></list></block></list></block><script><block s="doReport"><l>NaN</l></block></script><script><block s="doReport"><custom-block s="%txt at %mult%s on %txt %br using Snap! coordinates %b"><l>imageData</l><list><block var="xi"/><block var="yi"/></list><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><l><bool>false</bool></l></custom-block></block></script></block></script></block></script><list></list></block><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong selection!</l><l>stage position --&gt; ...</l></custom-block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; %&apos;position&apos; on %&apos;sprite&apos; $arrowRightOutline stage position $nl using Snap! coordinates %&apos;snap!Coordinates&apos;" type="reporter" category="6. ImagePad for image operations"><comment x="0" y="0" w="199.33333333333317" collapsed="false">Stage coordinates are alternatively described as Snap! or JavaScript coordinates, window and image coordinates are always JavaScript coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">window-position<options>window-position&#xD;image-position</options></input><input type="%mult%s"></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>imageOffsets</l><l>imageSize</l><l>target</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target is not a window to an ImagePad!</l><l>window-position/... --&gt; stage position</l></custom-block></script><list></list></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>window-position</l></list></block><script><block s="doSetVar"><l>result</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></list></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="position"/></block><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block></list></block><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block></block></list></block></block><block s="doIfElse"><block var="snap!Coordinates"/><script><block s="doReport"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="result"/></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportListItem"><l>2</l><block var="result"/></block></block></list></block></block></script><script><block s="doReport"><block var="result"/></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>image-position</l></list></block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target is not an ImagePad!</l><l>window-position/... --&gt; stage position</l></custom-block></script><list></list></block><block s="doSetVar"><l>imageSize</l><block s="reportQuotient"><block s="reportAskFor"><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block><block s="reifyReporter"><autolambda><block s="getScale"></block></autolambda><list></list></block><list></list></block><l>100</l></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="imageSize"/><l>NaN</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no Image properties available!</l><l>window-position/... --&gt; stage position</l></custom-block></script><list></list></block><block s="doSetVar"><l>imageOffsets</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportAttributeOf"><l><option>left</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportAttributeOf"><l><option>top</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block></block></list></block></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="imageSize"/><block s="reportListItem"><l>1</l><block var="position"/></block></list></block><block s="reportAttributeOf"><l><option>left</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block></list></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></block><block s="reportDifference"><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="imageSize"/><block s="reportListItem"><l>2</l><block var="position"/></block></list></block><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block></list></block><block s="reportAttributeOf"><l><option>top</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block></block></list></block></block></script><list></list></block><block s="doIfElse"><block var="snap!Coordinates"/><script><block s="doReport"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="result"/></block><block s="reportAttributeOf"><l><option>left</option></l><l>Stage</l></block></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><l>Stage</l></block><block s="reportListItem"><l>2</l><block var="result"/></block></block></list></block></block></script><script><block s="doReport"><block var="result"/></block></script></block></script></block></script></block-definition><block-definition s="position %&apos;position&apos; is in window %&apos;sprite&apos;" type="predicate" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Target isn&apos;t configured as an ImagePad!</l><l>position is in the window</l></custom-block></script><list></list></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doReport"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></list></block><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>right</option></l><block var="target"/></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>2</l><block var="position"/></block><block s="reportAttributeOf"><l><option>bottom</option></l><block var="target"/></block></list></block><block s="reportVariadicLessThan"><list><block s="reportListItem"><l>2</l><block var="position"/></block><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block></list></block></list></block></list></block></block></script></block></script></block-definition><block-definition s="is %&apos;sprite&apos; deleted?" type="predicate" category="control"><comment x="0" y="0" w="90" collapsed="false">Checks whether the specified sprite is in the list of deleted sprites.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>allTheSprites</l><l>dummy</l><l>target</l></list></block><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="sprite"/><l><option>sprite</option></l></block><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block var="sprite"/></block></block></script><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></script></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block><block s="doSetVar"><l>allTheSprites</l><block s="reportGet"><l><option>other sprites</option></l></block></block><custom-block s="safely try %cs then if %upvar %cs"><script><block s="doAddToList"><block s="reportGet"><l><option>self</option></l></block><block var="allTheSprites"/></block></script><l>error</l><script><block s="doSetVar"><l>dummy</l><l>0</l></block></script></custom-block><block s="doReport"><block s="reportNot"><block s="reportListContainsItem"><block var="allTheSprites"/><block var="target"/></block></block></block></script></block></script></block-definition><block-definition s="attach part %&apos;part&apos; to sprite %&apos;sprite&apos;" type="command" category="control" space="true"><comment x="0" y="0" w="98.8" collapsed="false">Attaches a sprite as part of another sprite.</comment><header></header><code></code><translations></translations><inputs><input type="%s">a part</input><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>aPart</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doSetVar"><l>aPart</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="part"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="part"/></block></block></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="aPart"/><l><option>sprite</option></l></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>SciS_attach part(choice,part)</l><list><l>attach</l><block var="aPart"/></list></block></autolambda><list></list></block><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: operation works only with sprites!</l><l>attach part</l></custom-block></script></block></script></block-definition><block-definition s="start SciSnap! stage: %&apos;width&apos; X %&apos;height&apos;" type="command" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="143.1691406249999" collapsed="false">Initialization of SciSnap!</comment><header></header><code></code><translations></translations><inputs><input type="%n">800</input><input type="%n">600</input></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/SciSnap3Extensions.js</l></list></block><block s="doWarp"><script><block s="doApplyExtension"><l>SciS_addMenuItemForSciSnapManuals()</l><list></list></block><block s="doApplyExtension"><l>SciS_SetSciSnapLogo()</l><list></list><comment w="138.33333333333334" collapsed="false">Changes the Snap!-Logo. ;-)</comment></block><custom-block s="set value %s to %s"><l>Stage size</l><block s="reportNewList"><list><block var="width"/><block var="height"/></list></block></custom-block><custom-block s="create SciSnap! global variables and properties"></custom-block><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><l>Empty</l></list></block><block s="doSwitchToCostume"><l>HilbertoRight</l></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="bubble"><l></l></block></script></block></script><scripts><script x="335" y="71.83333333333329"><block s="doApplyExtension"><l>src_load(url)</l><list><l>https://emu-online.de/SciSnap3Extensions.js</l></list><comment w="90" collapsed="false">alternative server</comment></block></script></scripts></block-definition><block-definition s="create costume data" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="109.33333333333333" collapsed="false">Creates a text-file &quot;SciSnap!Costumes&quot; from present costumes.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>data</l></list></block><block s="doWarp"><script><block s="bubble"><l>This may take some time!</l></block><custom-block s="create %s var %mult%txt"><l>global</l><list><l>SciSnap!Costumes</l></list></custom-block><block s="doSetVar"><l>SciSnap!Costumes</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>costume</l><block s="reportGet"><l><option>costumes</option></l></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportGetImageAttribute"><l><option>name</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>width</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>height</option></l><block var="costume"/></block><block s="reportGetImageAttribute"><l><option>pixels</option></l><block var="costume"/></block></list></block><block var="SciSnap!Costumes"/></block></script></block><block s="doSetVar"><l>data</l><l>""</l></block><block s="doForEach"><l>item</l><block var="SciSnap!Costumes"/><script><block s="doSetVar"><l>data</l><block s="reportJoinWords"><list><block var="data"/><l>+"</l><block s="reportListItem"><l>1</l><block var="item"/></block><l>,</l><block s="reportListItem"><l>2</l><block var="item"/></block><l>,</l><block s="reportListItem"><l>3</l><block var="item"/></block><l>,"</l></list></block></block><block s="doForEach"><l>values</l><block s="reportListItem"><l>4</l><block var="item"/></block><script><block s="doSetVar"><l>data</l><block s="reportJoinWords"><list><block var="data"/><l>+"</l><block s="reportListItem"><l>1</l><block var="values"/></block><l>,</l><block s="reportListItem"><l>2</l><block var="values"/></block><l>,</l><block s="reportListItem"><l>3</l><block var="values"/></block><l>,</l><block s="reportListItem"><l>4</l><block var="values"/></block><l>,"</l></list></block></block></script></block></script></block><custom-block s="write %s to %s -file %txt"><block var="data"/><l>TEXT</l><l>SciSnap!Costumes</l></custom-block><custom-block s="delete var %mult%txt"><list><l>SciSnap!Costumes</l></list></custom-block><block s="bubble"><l></l></block></script></block></script></block-definition><block-definition s="create SciSnap! costumes" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="135.1655598958333" collapsed="false">Creates and stores different SciSnap! costumes.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/SciSnap3Costumedata.js</l></list></block><custom-block s="create %s var %mult%txt"><l>global</l><list><l>SciSnap!Costumes</l></list></custom-block><block s="doShowVar"><l>SciSnap!Costumes</l></block><block s="doSetVar"><l>SciSnap!Costumes</l><block s="reportNewList"><list></list></block></block><block s="doForEach"><l>item</l><block s="reportApplyExtension"><l>SciS_costumeData()</l><list></list></block><script><block s="bubble"><block s="reportJoinWords"><list><l>costume "</l><block s="reportListItem"><l>1</l><block var="item"/></block><l>" is processed.</l></list></block></block><block s="doAddToList"><block s="reportNewCostume"><block s="reportListItem"><l>4</l><block var="item"/></block><block s="reportListItem"><l>2</l><block var="item"/></block><block s="reportListItem"><l>3</l><block var="item"/></block></block><block var="SciSnap!Costumes"/></block><custom-block s="rename costume %s to %txt"><block s="reportListItem"><l><option>last</option></l><block var="SciSnap!Costumes"/></block><block s="reportListItem"><l>1</l><block var="item"/></block></custom-block></script></block><block s="doSayFor"><l>ready!</l><l>1</l></block></script></block></script><scripts><script x="360.98193359375" y="76.75"><block s="doApplyExtension"><l>src_load(url)</l><list><l>https://emu-online.de/SciSnap3Costumedata.js</l></list><comment w="90" collapsed="false">alternative server</comment></block></script></scripts></block-definition><block-definition s="create SciSnap! global variables and properties" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="220.79868031547676" collapsed="false">Creates global variables &quot;SciSnap!Properties&quot;, &quot;SciSnap!Data&quot;, and &quot;SciSnap!Messages&quot;. &#xD;Sets the default values of global SciSnap!-properties for items&#xD;typeOfData&#xD;width&#xD;height&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;maxSetValue</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doWarp"><script><custom-block s="create %s var %mult%txt"><l>global</l><list><l>SciSnap!Properties</l><l>SciSnap!Data</l><l>SciSnap!Messages</l></list><comment w="220.79868031547676" collapsed="false">Creates global variables &quot;SciSnap!Properties&quot;, &quot;SciSnap!Data&quot;, and &quot;SciSnap!Messages&quot;. &#xD;Sets the default values of global SciSnap!-properties for items&#xD;typeOfData&#xD;width&#xD;height&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;maxSetValue</comment></custom-block><block s="doSetVar"><l>SciSnap!Properties</l><custom-block s="new dictionary"></custom-block></block><block s="doSetVar"><l>SciSnap!Messages</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>SciSnap!Data</l><block s="reportNewList"><list></list></block></block><custom-block s="add key %s value %s to dictionary %l"><l>typeOfData</l><l>not set</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>width</l><l>not set</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>height</l><l>not set</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>minValue</l><l>not set</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>maxValue</l><l>not set</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>columns</l><l>0</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>rows</l><l>0</l><block var="SciSnap!Properties"/></custom-block><custom-block s="add key %s value %s to dictionary %l"><l>maxSetValue</l><l>500</l><block var="SciSnap!Properties"/></custom-block></script></block></script></block-definition><block-definition s="set SciSnap! global property %&apos;key&apos; to %&apos;value&apos;" type="command" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="128.97435897435886" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfData<options>typeOfData&#xD;width&#xD;height&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;maxSetValue</options></input><input type="%s"></input></inputs><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block var="SciSnap!Properties"/><block var="value"/></block></script></block-definition><block-definition s="SciSnap! global property %&apos;key&apos;" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="143.3333333333334" collapsed="false">Returns the value of an existing global SciSnap!-property or &quot;&quot;.&#xD;&#xD;Items:&#xD;typeOfData&#xD;width&#xD;height&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;maxSetValue</comment><header></header><code></code><translations></translations><inputs><input type="%s">minValue<options>typeOfData&#xD;width&#xD;height&#xD;minValue&#xD;maxValue&#xD;columns&#xD;rows&#xD;maxSetValue</options></input></inputs><script><block s="doWarp"><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block var="SciSnap!Properties"/></block></block></script></block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a SketchPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="150.3846153846154" collapsed="false">Creates a new  empty costume of the specified size and color and sets the local properties.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%s" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b" readonly="true">false<options>left&#xD;right</options></input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite or stage required!</l><l>configure ... as a SketchPad</l></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myProperties</l><l>myData</l><l>myCloseButton</l></list></custom-block></script><list></list></block><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSetVar"><l>myProperties</l><custom-block s="new dictionary"></custom-block></block><block s="doSetVar"><l>myData</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="myCloseButton"/><l><option>sprite</option></l></block></block><script><block s="doIfElse"><custom-block s="is %s deleted?"><block var="myCloseButton"/></custom-block><script><block s="doSetVar"><l>myCloseButton</l><l>not set</l></block></script><script><custom-block s="remove sprite %s"><block var="myCloseButton"/></custom-block><block s="doSetVar"><l>myCloseButton</l><l>not set</l></block></script></block></script><list></list></block></script><list></list></block><list></list></block><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doSetVar"><l>color</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportIsA"><l></l><l><option>number</option></l></block></autolambda><list></list></block><block var="color"/></block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>3</l></list></block><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>230</l><l>230</l><l>230</l></list></block></block></script><list></list></block></script><script><block s="doIfElse"><block s="reportIsA"><block var="color"/><l><option>text</option></l></block><script><block s="doSetVar"><l>color</l><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="color"/><l></l></list></block><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>230</l><l>230</l><l>230</l></list></block></block></script><list></list></block></script><script><block s="doSetVar"><l>color</l><block s="reportNewList"><list><l>230</l><l>230</l><l>230</l></list></block></block></script></block></script></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doSetVar"><l>costumeWidth</l><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="doSetVar"><l>costumeHeight</l><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></block></script><script><block s="doSetVar"><l>costumeWidth</l><block var="width"/></block><block s="doSetVar"><l>costumeHeight</l><block var="height"/></block></script></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfConfiguration</l><l>SketchPad</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineWidth</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineStyle</l><l>continuous</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineColor</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>fillColor</l><block s="reportNewList"><list><l>180</l><l>180</l><l>180</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>textHeight</l><l>12</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>textOrientation</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>withCloseButton</l><block var="withCloseButton?"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>closeButtonLeft</l><block var="left?"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>closeButtonSize</l><block var="closeButtonSize"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>backColor</l><block var="color"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>frontColor</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>costumeWidth</l><block var="costumeWidth"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>costumeHeight</l><block var="costumeHeight"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>width</l><block var="width"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>height</l><block var="height"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>offsets</l><block s="reportNewList"><list><block s="reportQuotient"><block s="reportDifference"><block var="costumeWidth"/><block var="width"/></block><l>2</l></block><block s="reportQuotient"><block s="reportDifference"><block var="costumeHeight"/><block var="height"/></block><l>2</l></block></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doIfElse"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="gotoXY"><l>0</l><l>0</l></block><block s="setHeading"><l>90</l></block><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="width"/><block var="height"/><block var="color"/></custom-block></block><block s="show"></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script><script><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><block var="color"/></custom-block><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="costumeWidth"/><block var="costumeHeight"/><block var="color"/></custom-block></block></script><list></list></block><list></list></block></script></block></script></block></script><scripts><comment x="470.07692307692406" y="114.39743589743642" w="195" collapsed="false">costume properties:&#xD;1: width&#xD;2: height&#xD;3: back color RGB&#xD;4: offsets for position on stage&#xD;5: front color RGB&#xD;&#xD;line properties:&#xD;1: line width&#xD;2: line style&#xD;3: line color RGB&#xD;4: fill color RGB&#xD;&#xD;text properties:&#xD;1: text height&#xD;2. orientation (horizontal=true)&#xD;&#xD;closebutton properties:&#xD;1: with closebutton?&#xD;2: position (left=true)&#xD;3: closeButtonSize</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; a %&apos;pad&apos; ?" type="predicate" category="1. SciSnap! globals"><comment x="0" y="0" w="112.00000000000001" collapsed="false">Test on different SketchPad types.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s" readonly="true">SketchPad<options>SketchPad&#xD;MathPad&#xD;PlotPad&#xD;ImagePad&#xD;GraphPad&#xD;NNPad&#xD;GridPad</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite or stage required!</l><l>is ... a SketchPad</l></custom-block></script><list></list></block><block s="doIf"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="pad"/><l>SketchPad</l></list></block><script><block s="doReport"><block s="reportListContainsItem"><block s="reportNewList"><list><l>SketchPad</l><l>PlotPad</l><l>ImagePad</l><l>GraphPad</l><l>NNPad</l><l>MathPad</l><l>GridPad</l></list></block><block s="reportListItem"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></block></script><script><block s="doReport"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block var="pad"/></list></block></block></script></block></script><list></list></block><block s="doReport"><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block></script></block-definition><block-definition s="reshape and clear SketchPad %&apos;sprite&apos; $nl to width: %&apos;width&apos; height: %&apos;height&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="137.71794871794887" collapsed="false">Reshapes and cleares the costume of a SketchPad.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l><l>size</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><block s="reportIsA"><block var="target"/><l><option>stage</option></l></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite or stage required!</l><l>reshape and clear SketchPad</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block><script><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doSetVar"><l>costumeWidth</l><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></block><block s="doSetVar"><l>costumeHeight</l><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></block></script><script><block s="doSetVar"><l>costumeWidth</l><block var="width"/></block><block s="doSetVar"><l>costumeHeight</l><block var="height"/></block></script></block><block s="doReplaceInList"><l>costumeWidth</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="costumeWidth"/></block><block s="doReplaceInList"><l>costumeHeight</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="costumeHeight"/></block><block s="doReplaceInList"><l>offsets</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportNewList"><list><block s="reportQuotient"><block s="reportDifference"><block var="costumeWidth"/><block var="width"/></block><l>2</l></block><block s="reportQuotient"><block s="reportDifference"><block var="costumeHeight"/><block var="height"/></block><l>2</l></block></list></block></block><block s="doIfElse"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="costumeWidth"/><block var="costumeHeight"/><custom-block s="SketchPadProperty %txt of %txt"><l>backColor</l><l>thisSprite</l></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script><script><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="costumeWidth"/><block var="costumeHeight"/><l>white</l></custom-block></block></script><list></list></block><list></list></block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>thisSprite</l><custom-block s="SketchPadProperty %txt of %txt"><l>backColor</l><l>theStage</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block var="width"/></block><l>2</l></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><block var="height"/></block><l>2</l></block></list><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block var="width"/></block><l>2</l></block><block var="width"/></list></block><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><block var="height"/></block><l>2</l></block><block var="height"/></list></block></list><l>theStage</l><l><bool>false</bool></l></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block var="width"/></block><l>2</l></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><block var="height"/></block><l>2</l></block></list><list><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block><block var="width"/></block><l>2</l></block><block var="width"/></list></block><block s="reportVariadicSum"><list><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block><block var="height"/></block><l>2</l></block><block var="height"/></list></block></list><l>theStage</l><l><bool>false</bool></l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Target isn&apos;t configured as SketchPad!</l><l>reshape SketchPad</l></custom-block></script></block></script></block></script></block-definition><block-definition s="delete SketchPad %&apos;sprite&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="115.59999999999998" collapsed="false">Deletes a SketchPad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block><script><block s="doIf"><custom-block s="is variable %s in the scope of %s ?"><l>myCloseButton</l><block var="target"/></custom-block><script><block s="doIf"><block s="reportIsA"><block s="reportAttributeOf"><l>myCloseButton</l><block var="target"/></block><l><option>sprite</option></l></block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s deleted?"><block s="reportAttributeOf"><l>myCloseButton</l><block var="target"/></block></custom-block></block><script><custom-block s="remove sprite %s"><block s="reportAttributeOf"><l>myCloseButton</l><block var="target"/></block></custom-block></script><list></list></block></script><list></list></block></script><list></list></block><custom-block s="remove sprite %s"><block var="target"/></custom-block></script><list></list></block></script></block-definition><block-definition s="adjust close-button of %&apos;sprite&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="90" collapsed="false">If necessary, place the close button in the correct position.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>closeButton</l><l>left?</l><l>size</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block><script><block s="doIf"><block s="reportNot"><custom-block s="is %s deleted?"><block s="reportAttributeOf"><l>myCloseButton</l><block var="target"/></block></custom-block></block><script><custom-block s="remove sprite %s"><block s="reportAttributeOf"><l>myCloseButton</l><block var="target"/></block></custom-block></script><list></list></block><custom-block s="set %txt of %txt to %s"><l>myCloseButton</l><block var="target"/><l>not set</l></custom-block><block s="doIf"><custom-block s="SketchPadProperty %txt of %txt"><l>withCloseButton</l><block var="target"/></custom-block><script><block s="doSetVar"><l>left?</l><custom-block s="SketchPadProperty %txt of %txt"><l>closeButtonLeft</l><block var="target"/></custom-block></block><block s="doSetVar"><l>size</l><custom-block s="SketchPadProperty %txt of %txt"><l>closeButtonSize</l><block var="target"/></custom-block></block><block s="doSetVar"><l>closeButton</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><block s="reportJoinWords"><list><l>closeButton</l><block s="reportVariadicSum"><list><block s="reportListAttribute"><l><option>length</option></l><custom-block s="list of sprites with names %br starting with %txt"><l>closeButton</l></custom-block></block><l>1</l></list></block></list></block></custom-block></block><block s="doTellTo"><block var="closeButton"/><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myProperties</l></list></custom-block><block s="doSetVar"><l>myProperties</l><custom-block s="new dictionary"></custom-block></block><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><block var="size"/><block var="size"/><l>lightGray</l></custom-block></block><block s="show"></block></script><list></list></block><list></list></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfConfiguration</l><l>SketchPad</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="closeButton"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineWidth</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="closeButton"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineStyle</l><l>continuous</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="closeButton"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>lineColor</l><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="closeButton"/></block></block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><l>0</l><l>0</l></list><list><block var="size"/><block var="size"/></list><block var="closeButton"/><l><bool>false</bool></l></custom-block><custom-block s="draw line from %mult%s to %mult%s on %txt %br using Snap! coordinates? %b"><list><l>0</l><l>0</l></list><list><block var="size"/><block var="size"/></list><block var="closeButton"/><l><bool>false</bool></l></custom-block><custom-block s="draw line from %mult%s to %mult%s on %txt %br using Snap! coordinates? %b"><list><block var="size"/><l>0</l></list><list><l>0</l><block var="size"/></list><block var="closeButton"/><l><bool>false</bool></l></custom-block><block s="doTellTo"><block var="closeButton"/><block s="reifyScript"><script><custom-block s="set layer to %txt"><l></l></custom-block></script><list></list></block><list><block s="reportVariadicSum"><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><custom-block s="layer"></custom-block></autolambda><list></list></block><list></list></block><l>1</l></list></block></list></block><block s="doIfElse"><block var="left?"/><script><block s="doTellTo"><block var="closeButton"/><block s="reifyScript"><script><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportDifference"><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><block var="size"/></block><l>2</l></block></block><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><block var="size"/></block><l>2</l></block></list></block></list></block></script><script><block s="doTellTo"><block var="closeButton"/><block s="reifyScript"><script><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><block var="size"/></block><l>2</l></block></list></block><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportDifference"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><block var="size"/></block><l>2</l></block></list></block></list></block></script></block><custom-block s="attach part %s to sprite %s"><block var="closeButton"/><block var="target"/></custom-block><block s="doTellTo"><block var="closeButton"/><block s="reifyScript"><script><custom-block s="on %txt run %cmdRing"><l>mouseClickLeft</l><block s="reifyScript"><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="remove sprite %s"><block var="target"/></custom-block></script><list></list></block><list></list></block></script><list></list></block></custom-block></script><list></list></block><list></list></block><custom-block s="set %txt of %txt to %s"><l>myCloseButton</l><block var="target"/><block var="closeButton"/></custom-block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; %&apos;toolType&apos; - tool for window %&apos;sprite&apos; size %&apos;size&apos;" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="123.33333333333334" collapsed="false">This block is used to create/remove dynamically tools for a window.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">create<options>create&#xD;remove</options></input><input type="%txt" readonly="true">line<options>line&#xD;a square</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">30</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>lineEnd1</l><l>lineEnd2</l><l>lineTool</l><l>x</l><l>y</l><l>size/2</l><l>result</l><l>caller</l><l>squareTool</l><l>size/5</l><l>apertureTool</l><l>n</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as a window!</l><l>create line tool</l></custom-block></script><list></list></block><block s="doSetVar"><l>caller</l><block s="reportObject"><l><option>myself</option></l></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="toolType"/><l>line</l></list><comment w="225.40859375000008" collapsed="false">Create or remove TheLineTool with its ends.</comment></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>create</l></list></block><script><custom-block s="%txt %txt - tool for window %s size %n"><l>remove</l><l>line</l><block var="target"/><l>15</l></custom-block><block s="doSetVar"><l>lineTool</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>TheLineTool</l></custom-block></block><custom-block s="set %txt of %txt to %s"><l>myLineTool</l><block var="target"/><block var="lineTool"/></custom-block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myImagePosition</l><l>myWindow</l><l>myLineEnd1</l><l>myLineEnd2</l><l>isMoving</l></list></custom-block></script><list></list></block><list></list></block><custom-block s="set %txt of %txt to %s"><l>myWindow</l><l>TheLineTool</l><block var="target"/></custom-block><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>TheLineTool</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block var="size"/><block var="size"/><l>yellow</l></custom-block><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></list></block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction pressed</l><l>TheLineTool</l></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction mouse-departed</l><l>TheLineTool</l></custom-block><block s="doSetVar"><l>lineEnd1</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>LineEnd1</l></custom-block></block><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myImagePosition</l><l>isMoving</l></list></custom-block></script><list></list></block><list></list></block><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd1</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>lineEnd1</l><custom-block s="%s as %txt"><l>orange</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>4</l></block></block><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>4</l></block></list></block></list></block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction pressed</l><l>LineEnd1</l></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction mouse-departed</l><l>LineEnd1</l></custom-block><custom-block s="set %txt of %txt to %s"><l>myLineEnd1</l><l>TheLineTool</l><block var="lineEnd1"/></custom-block><block s="doSetVar"><l>lineEnd2</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>LineEnd2</l></custom-block></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myImagePosition</l><l>isMoving</l></list></custom-block></script><list></list></block><list></list></block><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd2</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>lineEnd1</l><custom-block s="%s as %txt"><l>magenta</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>4</l></block></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>4</l></block></block></list></block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction pressed</l><l>LineEnd2</l></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction mouse-departed</l><l>LineEnd2</l></custom-block><custom-block s="set %txt of %txt to %s"><l>myLineEnd2</l><l>TheLineTool</l><block var="lineEnd2"/></custom-block><custom-block s="update tool coordinates on %s"><block var="target"/></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="%s as %txt"><l>yellow</l><l>RGB-value</l></custom-block></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><l>2</l></custom-block><custom-block s="draw line from %mult%s to %mult%s on %txt %br using Snap! coordinates? %b"><list><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block></list><l>window-position</l><block var="target"/><l><bool>true</bool></l></custom-block></list><list><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list><l>window-position</l><block var="target"/><l><bool>true</bool></l></custom-block></list><block var="target"/><l><bool>false</bool></l></custom-block></script><script><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>LineEnd1</l></block><l><option>sprite</option></l></block><script><custom-block s="remove sprite %s"><l>LineEnd1</l></custom-block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>LineEnd2</l></block><l><option>sprite</option></l></block><script><custom-block s="remove sprite %s"><l>LineEnd2</l></custom-block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheLineTool</l></block><l><option>sprite</option></l></block><script><custom-block s="remove sprite %s"><l>TheLineTool</l></custom-block></script><list></list></block><custom-block s="update window %s"><block var="target"/></custom-block><custom-block s="set %txt of %txt to %s"><l>myLineTool</l><block var="target"/><l>not set</l></custom-block></script></block><custom-block s="update tool positions on %s"><block var="target"/></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="toolType"/><l>a square</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>create</l></list></block><script><block s="doSetVar"><l>n</l><block s="reportVariadicSum"><list><block s="reportListAttribute"><l><option>length</option></l><custom-block s="list of sprites with names %br starting with %txt"><l>SquareTool</l></custom-block></block><l>1</l></list></block></block><block s="doSetVar"><l>squareTool</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><block s="reportJoinWords"><list><l>SquareTool</l><l>-</l><block var="n"/></list></block></custom-block></block><block s="doTellTo"><block var="squareTool"/><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>myImagePosition</l><l>myWindow</l><l>isActive</l></list></custom-block></script><list></list></block><list></list></block><block s="doAddToList"><block var="squareTool"/><block s="reportAttributeOf"><l>mySquareTools</l><block var="target"/></block></block><custom-block s="set %txt of %txt to %s"><l>myWindow</l><block var="squareTool"/><block var="target"/></custom-block><custom-block s="set %txt of %txt to %s"><l>isActive</l><block var="squareTool"/><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="size"/><l>200</l></list></block><script><block s="doSetVar"><l>size</l><l>200</l></block></script><list></list></block><block s="doTellTo"><block var="squareTool"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>squareTool</l><custom-block s="%s as %txt"><l>orange</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></list></block><block s="doTellTo"><block var="squareTool"/><block s="reifyScript"><script><block s="gotoXY"><l></l><l></l></block></script><list></list></block><list><block s="reportRandom"><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block><block var="size"/></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>right</option></l><block var="target"/></block><block var="size"/></block></block><block s="reportRandom"><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>bottom</option></l><block var="target"/></block><block var="size"/></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block var="size"/></block></block></list></block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction pressed</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction mouse-departed</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey +</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey -</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey up arrow</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey down arrow</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey left arrow</l><block var="squareTool"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey right arrow</l><block var="squareTool"/></custom-block><custom-block s="update tool coordinates on %s"><block var="target"/></custom-block></script><script><block s="doSetVar"><l>squareTool</l><block s="reportListItem"><l><option>last</option></l><block s="reportAttributeOf"><l>mySquareTools</l><block var="target"/></block></block></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><block var="squareTool"/></block><l><option>sprite</option></l></block><script><block s="doDeleteFromList"><l><option>last</option></l><block s="reportAttributeOf"><l>mySquareTools</l><block var="target"/></block></block><custom-block s="remove sprite %s"><block var="squareTool"/></custom-block><custom-block s="update window %s"><block var="target"/></custom-block></script><list></list></block></script></block></script><list></list><comment w="225.40859375000008" collapsed="false">Create or remove a SquareTool.</comment></block><custom-block s="select sprite %s"><block var="caller"/></custom-block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; %&apos;tool&apos; of window %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">show<options>show&#xD;hide</options></input><input type="%txt" readonly="true">TheLineTool<options>TheLineTool&#xD;TheSquareTool</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>lineEnd1</l><l>lineEnd2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite is not a window!</l><l>show/hide line tool</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><l>TheLineTool</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportObject"><l>TheLineTool</l></block><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no linetool available!</l><l>show/hide line tool</l></custom-block></script><list></list></block><block s="doSetVar"><l>tool</l><block s="reportObject"><l>TheLineTool</l></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>show</l></list></block><script><block s="doSetVar"><l>lineEnd1</l><block s="reportAttributeOf"><l>myLineEnd1</l><l>TheLineTool</l></block></block><block s="doSetVar"><l>lineEnd2</l><block s="reportAttributeOf"><l>myLineEnd2</l><l>TheLineTool</l></block></block><custom-block s="update window %s"><block var="target"/></custom-block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="doGotoObject"><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list></block><l>2</l></block></block></script><list></list></block><list></list></block><block s="doIfElse"><custom-block s="position %mult%s is in window %s"><list><block s="reportAttributeOf"><l><option>position</option></l><l>TheLineTool</l></block></list><block var="target"/></custom-block><script><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="show"></block><block s="goToLayer"><l><option>front</option></l></block></script><list></list></block><list></list></block></script><script><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script></block><block s="doIfElse"><custom-block s="position %mult%s is in window %s"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block></list><block var="target"/></custom-block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="show"></block><block s="goToLayer"><l><option>front</option></l></block></script><list></list></block><list></list></block></script><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script></block><block s="doIfElse"><custom-block s="position %mult%s is in window %s"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list><block var="target"/></custom-block><script><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="show"></block><block s="goToLayer"><l><option>front</option></l></block></script><list></list></block><list></list></block></script><script><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script></block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="%s as %txt"><l>yellow</l><l>RGB-value</l></custom-block></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><l>2</l></custom-block><custom-block s="update tool coordinates on %s"><block var="target"/></custom-block><custom-block s="draw line from %mult%s to %mult%s on %txt %br using Snap! coordinates? %b"><list><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block></list><l>window-position</l><block var="target"/><l><bool>true</bool></l></custom-block></list><list><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list><l>window-position</l><block var="target"/><l><bool>true</bool></l></custom-block></list><block var="target"/><l><bool>false</bool></l></custom-block></script><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block><custom-block s="update window %s"><block var="target"/></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><l>TheSquareTool</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportObject"><l>TheSquareTool</l></block><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no squaretool available!</l><l>show/hide line tool</l></custom-block></script><list></list></block><block s="doSetVar"><l>tool</l><block s="reportObject"><l>TheSquareTool</l></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="selection"/><l>show</l></list></block><script><custom-block s="update tool positions on %s"><block var="target"/></custom-block></script><script><block s="doTellTo"><l>TheSquareTool</l><block s="reifyScript"><script><block s="hide"></block></script><list></list></block><list></list></block></script></block></script><list></list></block></script></block></script></block-definition><block-definition s="update tool positions on %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations" space="true"><comment x="0" y="0" w="138.65395220588252" collapsed="false">Moves tools to new positions corresponding to their image coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as a window!</l><l>update tool positions</l></custom-block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheLineTool</l></block><l><option>sprite</option></l></block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="doGotoObject"><custom-block s="%s %mult%s on %s $arrowRightOutline stage position %br using Snap! coordinates %b"><l>image-position</l><list><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd1</l></block></list><block var="target"/><l><bool>true</bool></l></custom-block></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="doGotoObject"><custom-block s="%s %mult%s on %s $arrowRightOutline stage position %br using Snap! coordinates %b"><l>image-position</l><list><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd2</l></block></list><block var="target"/><l><bool>true</bool></l></custom-block></block></script><list></list></block><list></list></block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="doGotoObject"><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list></block><l>2</l></block></block></script><list></list></block><list></list></block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block var="target"/></custom-block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheSquareTool</l></block><l><option>sprite</option></l></block><script><block s="doTellTo"><l>TheSquareTool</l><block s="reifyScript"><script><block s="doGotoObject"><custom-block s="%s %mult%s on %s $arrowRightOutline stage position %br using Snap! coordinates %b"><l>image-position</l><list><block s="reportAttributeOf"><l>myImagePosition</l><l>TheSquareTool</l></block></list><block var="target"/><l><bool>true</bool></l></custom-block></block><block s="setScale"><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></block><custom-block s="ImagePadProperty %txt of %txt"><l>costumeWidth</l><block s="reportAttributeOf"><l>currentImage</l><block var="target"/></block></custom-block></block></list></block></block><block s="show"></block></script><list></list></block><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="update tool coordinates on %&apos;sprite&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %txt a window to Imagepads?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as a window!</l><l>update tool coordinates</l></custom-block></script><list></list></block><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheLineTool</l></block><l><option>sprite</option></l></block><script><custom-block s="set %txt of %txt to %s"><l>myImagePosition</l><l>TheLineTool</l><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>TheLineTool</l></block></list><l>image-position</l><block var="target"/><l><bool>true</bool></l></custom-block></custom-block><custom-block s="set %txt of %txt to %s"><l>myImagePosition</l><l>LineEnd1</l><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd1</l></block></list><l>image-position</l><block var="target"/><l><bool>true</bool></l></custom-block></custom-block><custom-block s="set %txt of %txt to %s"><l>myImagePosition</l><l>LineEnd2</l><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><l>LineEnd2</l></block></list><l>image-position</l><block var="target"/><l><bool>true</bool></l></custom-block></custom-block></script><list></list></block><block s="doForEach"><l>squareTool</l><block s="reportAttributeOf"><l>mySquareTools</l><block var="target"/></block><script><custom-block s="set %txt of %txt to %s"><l>myImagePosition</l><block var="squareTool"/><custom-block s="stage position %mult%s $arrowRightOutline %txt on %s %br using Snap! coordinates %b"><list><block s="reportAttributeOf"><l><option>position</option></l><block var="squareTool"/></block></list><l>image-position</l><block var="target"/><l><bool>true</bool></l></custom-block></custom-block></script></block></script></block></script></block-definition><block-definition s="move %&apos;tool&apos; %&apos;direction&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">LineTool<options>LineTool&#xD;SquareTool</options></input><input type="%s" readonly="true">left<options>left&#xD;right&#xD;up&#xD;down</options></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><l>LineTool</l></list></block><script><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheLineTool</l></block><l><option>sprite</option></l></block><script><block s="doSetVar"><l>tool</l><block s="reportObject"><l>TheLineTool</l></block></block><custom-block s="%txt %txt of window %s"><l>hide</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script><list><block s="reportVariadicEquals"><list><block var="tool"/><l>SquareTool</l></list></block><script><block s="doIf"><block s="reportIsA"><block s="reportObject"><l>TheSquareTool</l></block><l><option>sprite</option></l></block><script><block s="doSetVar"><l>tool</l><block s="reportObject"><l>TheSquareTool</l></block></block></script><list></list></block></script><block s="reportNot"><block s="reportIsA"><block var="tool"/><l><option>sprite</option></l></block></block><script><block s="doStopThis"><l><option>this block</option></l></block></script></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="direction"/><l>left</l></list></block><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="changeXPosition"><l>-1</l></block></script><list></list></block><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><block s="reportObject"><l>TheLineTool</l></block></list></block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="changeXPosition"><l>-1</l></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="changeXPosition"><l>-1</l></block></script><list></list></block><list></list></block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script><list><block s="reportVariadicEquals"><list><block var="direction"/><l>right</l></list></block><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="changeXPosition"><l>1</l></block></script><list></list></block><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><block s="reportObject"><l>TheLineTool</l></block></list></block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="changeXPosition"><l>1</l></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="changeXPosition"><l>1</l></block></script><list></list></block><list></list></block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script><block s="reportVariadicEquals"><list><block var="direction"/><l>up</l></list></block><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="changeYPosition"><l>1</l></block></script><list></list></block><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><block s="reportObject"><l>TheLineTool</l></block></list></block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="changeYPosition"><l>1</l></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="changeYPosition"><l>1</l></block></script><list></list></block><list></list></block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script><block s="reportVariadicEquals"><list><block var="direction"/><l>down</l></list></block><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="changeYPosition"><l>-1</l></block></script><list></list></block><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="tool"/><block s="reportObject"><l>TheLineTool</l></block></list></block><script><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="changeYPosition"><l>-1</l></block></script><list></list></block><list></list></block><block s="doTellTo"><l>LineEnd2</l><block s="reifyScript"><script><block s="changeYPosition"><l>-1</l></block></script><list></list></block><list></list></block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script></list></block></script></block></script></block-definition><block-definition s="detach all parts from %&apos;sprite&apos;" type="command" category="control"><comment x="0" y="0" w="234.86035156249997" collapsed="false">Cancels the connection between attached sprites.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIfElse"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block><script><block s="doTellTo"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportApplyExtension"><l>SciS_attach part(choice,part)</l><list><l>detach</l><block var="target"/></list></block></autolambda><list></list></block><list></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: operation works only with sprites!</l><l>detach part</l></custom-block></script></block></script></block-definition><block-definition s="on %&apos;event&apos; run %&apos;aScript&apos;" type="command" category="control"><comment x="0" y="0" w="196" collapsed="false">Adds an event handler to a sprite. Resets the event handler with the standard sprite operation if the script is empty.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">mouseClickLeft<options>mouseDownLeft&#xD;mouseDownRight&#xD;mouseClickLeft&#xD;mouseClickRight&#xD;mouseDoubleClick&#xD;mouseEnter&#xD;mouseLeave&#xD;mouseEnterDragging&#xD;mouseLeaveDragging&#xD;mouseEnterBounds&#xD;mouseLeaveBounds&#xD;mouseMove&#xD;mouseScroll</options></input><input type="%cmdRing"></input></inputs><script><block s="doSetVar"><l>event</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><custom-block s="trim %txt by %mult%txt"><block var="event"/><list><l> </l></list></custom-block><l> </l></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="aScript"/><block s="reifyScript"><script></script><list></list></block></list></block><script><block s="doSetVar"><l>aScript</l><l>reset</l></block></script><list></list></block><block s="doRun"><block s="reifyScript"><script><block s="doApplyExtension"><l>SciS_onEventRun(aFunction,event)</l><list></list></block></script><list></list></block><list><block var="aScript"/><block var="event"/></list></block></script></block-definition><block-definition s="delete %&apos;choice&apos; %&apos;substring&apos; in %&apos;aString&apos;" type="reporter" category="operators"><comment x="0" y="0" w="110.19230769230774" collapsed="false">Reports a string without first/all instances of substring.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">all<options>all&#xD;first</options></input><input type="%txt">this</input><input type="%txt">thisString</input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_stringOperations(operation,params)</l><list><l>delete</l><block s="reportNewList"><list><block var="choice"/><block var="substring"/><block var="aString"/></list></block></list></block></block></script></block-definition><block-definition s="substring of %&apos;aString&apos; from %&apos;from&apos; to %&apos;to&apos;" type="reporter" category="operators"><comment x="0" y="0" w="94.74358974358977" collapsed="false">Reports a substring of a string.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisString</input><input type="%n">1</input><input type="%n">4</input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_stringOperations(operation,params)</l><list><l>substring</l><block s="reportNewList"><list><block var="aString"/><block var="from"/><block var="to"/></list></block></list></block></block></script></block-definition><block-definition s="trim %&apos;aString&apos; by %&apos;chars&apos;" type="reporter" category="operators"><comment x="0" y="0" w="202.10569411057682" collapsed="false">Deletes leading and trailing as parameter defined characters in a string.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">..this string...</input><input type="%mult%txt"></input></inputs><script><block s="doWarp"><script><block s="doForEach"><l>char</l><block var="chars"/><script><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="aString"/></block><l>0</l></list></block><block s="reportVariadicNotEquals"><list><block s="reportLetter"><l>1</l><block var="aString"/></block><block var="char"/></list></block></list></block><script><block s="doSetVar"><l>aString</l><custom-block s="delete %txt %txt in %txt"><l>first</l><block var="char"/><block var="aString"/></custom-block></block></script></block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="aString"/></block><l>0</l></list></block><block s="reportVariadicNotEquals"><list><block s="reportLetter"><l><option>last</option></l><block var="aString"/></block><block var="char"/></list></block></list></block><script><block s="doSetVar"><l>aString</l><custom-block s="substring of %txt from %n to %n"><block var="aString"/><l>1</l><block s="reportDifference"><block s="reportTextAttribute"><l><option>length</option></l><block var="aString"/></block><l>1</l></block></custom-block></block></script></block></script></block><block s="doReport"><block var="aString"/></block></script></block></script></block-definition><block-definition s="Euclidean distance between $nl point %&apos;p1&apos; and point %&apos;p2&apos;" type="reporter" category="operators" space="true"><comment x="0" y="0" w="100.8" collapsed="false">Reports the Euclidean distance of to points.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%mult%s"></input></inputs><script><block s="doDeclareVariables"><list><l>x1</l><l>y1</l><l>x2</l><l>y2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>p1</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="p1"/></custom-block></block><block s="doSetVar"><l>p2</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="p2"/></custom-block></block><block s="doSetVar"><l>x1</l><block s="reportListItem"><l>1</l><block var="p1"/></block></block><block s="doSetVar"><l>y1</l><block s="reportListItem"><l>2</l><block var="p1"/></block></block><block s="doSetVar"><l>x2</l><block s="reportListItem"><l>1</l><block var="p2"/></block></block><block s="doSetVar"><l>y2</l><block s="reportListItem"><l>2</l><block var="p2"/></block></block><block s="doReport"><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="x1"/><block var="x2"/></block><block s="reportDifference"><block var="x1"/><block var="x2"/></block></list></block><block s="reportVariadicProduct"><list><block s="reportDifference"><block var="y1"/><block var="y2"/></block><block s="reportDifference"><block var="y1"/><block var="y2"/></block></list></block></list></block></block></block></script></block></script></block-definition><block-definition s="Levenshtein distance of %&apos;s1&apos; and %&apos;s2&apos;" type="reporter" category="operators"><comment x="0" y="0" w="90" collapsed="false">Metric for Strings.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">Saturday</input><input type="%txt">Sunday</input></inputs><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_LevenshteinDistance(s1,s2)</l><list><block var="s1"/><block var="s2"/></list></block></block></script></block-definition><block-definition s="delete all closeButtons" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="196" collapsed="false">Deletes any &quot;remaining&quot; close buttons.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>sprites</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>sprites</l><block s="reportGet"><l><option>other sprites</option></l></block></block><block s="doAddToList"><block s="reportGet"><l><option>self</option></l></block><block var="sprites"/></block><block s="doForEach"><l>sprite</l><block var="sprites"/><script><block s="doIf"><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block s="reportAskFor"><block var="sprite"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>name</option></l></block></autolambda><list></list></block><list></list></block><l>1</l><l>11</l></custom-block><l>closeButton</l></list></block><script><custom-block s="remove sprite %s"><block var="sprite"/></custom-block></script><list></list></block></script></block></script></block></script></block-definition><block-definition s="set SketchPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="128.97435897435886" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets for Image position=imageOffsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;1: text height=textHeight&#xD;2. orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Missing variable "myProperties"!</l><l>set SketchPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="SketchPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets for Image position=imageOffsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;1: text height=textHeight&#xD;2. orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>SketchPadProperty of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="draw line from %&apos;position1&apos; to %&apos;position2&apos; on %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="147.77135416666673" collapsed="false">Draws a line on present costume using line properties. Coordinates can be used as Snap! or JS coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>x0</l><l>y0</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Sprite isn&apos;t configured as a SketchPad!</l><l>draw line ...</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doSetVar"><l>position1</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position1"/></custom-block></block><block s="doSetVar"><l>position2</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position2"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block></block><block s="doReplaceInList"><l>1</l><block var="position1"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position1"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position1"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position1"/></block></block></block><block s="doReplaceInList"><l>1</l><block var="position2"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position2"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position2"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position2"/></block></block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><l>drawLine</l><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="reportConcatenatedLists"><list><block var="position1"/><block var="position2"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="%&apos;modus&apos; rectangle from: %&apos;position1&apos; to: %&apos;position2&apos; on %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="130.83333333333334" collapsed="false">Draws a rectangle on present costume using line properties. Coordinates can be used as Snap! or JS coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">draw<options>draw&#xD;fill</options></input><input type="%mult%s"></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>x0</l><l>y0</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Sprite isn&apos;t configured as a SketchPad!</l><l>draw rectangle ...</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doSetVar"><l>position1</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position1"/></custom-block></block><block s="doSetVar"><l>position2</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position2"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block></block><block s="doReplaceInList"><l>1</l><block var="position1"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position1"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position1"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position1"/></block></block></block><block s="doReplaceInList"><l>1</l><block var="position2"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position2"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position2"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position2"/></block></block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><block s="reportJoinWords"><list><block var="modus"/><l>Rect</l></list></block><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="reportConcatenatedLists"><list><block var="position1"/><block var="position2"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="%&apos;modus&apos; circle center: %&apos;position1&apos; radius: %&apos;radius&apos; on %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="130.83333333333334" collapsed="false">Draws or fills a rectangle on present costume using line properties. Coordinates can be used as Snap! or JS coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true" irreplaceable="true">draw<options>draw&#xD;fill</options></input><input type="%mult%s"></input><input type="%n">20</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>x0</l><l>y0</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Sprite isn&apos;t configured as a SketchPad!</l><l>draw circle ...</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doSetVar"><l>position1</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position1"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block></block><block s="doReplaceInList"><l>1</l><block var="position1"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position1"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position1"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position1"/></block></block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><block s="reportJoinWords"><list><block var="modus"/><l>Circle</l></list></block><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="reportConcatenatedLists"><list><block var="position1"/><block s="reportNewList"><list><block var="radius"/></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="draw text %&apos;text&apos; at: %&apos;position1&apos; height: %&apos;height&apos; horizontal? %&apos;horizontal?&apos; $nl on %&apos;sprite&apos; using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="147.77135416666673" collapsed="false">Draws a text on present costume using line properties. The text is drawn horizontal or vertical. Coordinates can be used as Snap! or JS coordinates.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">my text</input><input type="%mult%s"></input><input type="%n">12</input><input type="%b"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">false</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>x0</l><l>y0</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Sprite isn&apos;t configured as a SketchPad!</l><l>draw text ...</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doSetVar"><l>position1</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position1"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>x0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><block var="target"/></block><l>2</l></block></block><block s="doSetVar"><l>y0</l><block s="reportQuotient"><block s="reportAttributeOf"><l><option>height</option></l><block var="target"/></block><l>2</l></block></block><block s="doReplaceInList"><l>1</l><block var="position1"/><block s="reportVariadicSum"><list><block var="x0"/><block s="reportListItem"><l>1</l><block var="position1"/></block></list></block></block><block s="doReplaceInList"><l>2</l><block var="position1"/><block s="reportDifference"><block var="y0"/><block s="reportListItem"><l>2</l><block var="position1"/></block></block></block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><l>drawText</l><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="position1"/></block><block s="reportListItem"><l>2</l><block var="position1"/></block><block var="text"/><block var="height"/><block var="horizontal?"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><list></list></block><list></list></block></script></block></script></block-definition><block-definition s="width of text %&apos;text&apos; in height %&apos;height&apos; on %&apos;sprite&apos;" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="90" collapsed="false">Reports the width of the text, if drawn on a Sprite.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">my text</input><input type="%n">18</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIfElse"><custom-block s="is %s a %s ?"><block var="target"/><l>SketchPad</l></custom-block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_drawOnCostume(operation,costume,params,properties)</l><list><l>widthOfText</l><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block><block s="reportNewList"><list><block var="text"/><block var="height"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as a SketchPad!</l><l>width of text ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="Example: rectangles, inspired by Frank Stella" type="command" category="1. SciSnap! globals" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>n</l></list></block><block s="doWarp"><script><custom-block s="start SciSnap! stage: %n X %n"><l>600</l><l>600</l></custom-block><block s="hide"></block><block s="doWait"><l>4</l></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><l>theStage</l><l>600</l><l>600</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doForever"><script><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><l>50</l><l>50</l></list><list><l>550</l><l>550</l></list><l>theStage</l><l><bool>false</bool></l></custom-block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><l>theStage</l><custom-block s="%s as %txt"><l>white</l><l>RGB-value</l></custom-block></custom-block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doFor"><l>i</l><l>1</l><block s="reportRandom"><l>1</l><l>4</l></block><script><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><block s="reportVariadicSum"><list><l>50</l><block s="reportVariadicProduct"><list><block var="n"/><l>20</l></list></block></list></block><block s="reportVariadicSum"><list><l>50</l><block s="reportVariadicProduct"><list><block var="n"/><l>20</l></list></block></list></block></list><list><block s="reportDifference"><l>550</l><block s="reportVariadicProduct"><list><block var="n"/><l>20</l></list></block></block><block s="reportDifference"><l>550</l><block s="reportVariadicProduct"><list><block var="n"/><l>20</l></list></block></block></list><l>theStage</l><l><bool>false</bool></l></custom-block><block s="doChangeVar"><l>n</l><l>1</l></block></script></block><block s="doFor"><l>i</l><block var="n"/><block s="reportRandom"><l>5</l><l>15</l></block><script><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><block s="reportNewList"><list><block s="reportDifference"><l>255</l><block s="reportVariadicProduct"><list><block var="i"/><block s="reportRandom"><l>15</l><l>25</l></block></list></block></block><block s="reportVariadicProduct"><list><block var="i"/><block s="reportQuotient"><block s="reportRandom"><l>150</l><l>255</l></block><block s="reportDifference"><l>15</l><block var="n"/></block></block></list></block><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><block var="i"/><block s="reportQuotient"><l>155</l><block s="reportDifference"><l>15</l><block var="n"/></block></block></list></block><block s="reportRandom"><l>5</l><l>50</l></block></list></block></list></block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><block s="reportVariadicSum"><list><l>50</l><block s="reportVariadicProduct"><list><block var="i"/><l>20</l></list></block></list></block><block s="reportVariadicSum"><list><l>50</l><block s="reportVariadicProduct"><list><block var="i"/><l>20</l></list></block></list></block></list><list><block s="reportDifference"><l>550</l><block s="reportVariadicProduct"><list><block var="i"/><l>20</l></list></block></block><block s="reportDifference"><l>550</l><block s="reportVariadicProduct"><list><block var="i"/><l>20</l></list></block></block></list><l>theStage</l><l><bool>false</bool></l></custom-block></script></block><block s="gotoXY"><l>025</l><l>-240</l></block><block s="doWait"><l>2</l></block></script></block></script></block></script></block-definition><block-definition s="Example: circles" type="command" category="1. SciSnap! globals"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doRepeat"><l>300</l><script><custom-block s="%txt circle center: %mult%s radius: %n on %txt %br using Snap! coordinates? %b"><l>draw</l><list><block s="reportRandom"><l>1</l><l>400</l></block><block s="reportRandom"><l>1</l><l>300</l></block></list><block s="reportRandom"><l>10</l><l>100</l></block><l>thisSprite</l><l><bool>false</bool></l></custom-block></script></block></script></block-definition><block-definition s="Example: why?" type="command" category="1. SciSnap! globals"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>vanishingPoint</l><l>x</l><l>y</l><l>height</l></list></block><block s="doSetVar"><l>vanishingPoint</l><block s="reportNewList"><list><block s="reportRandom"><l>150</l><l>650</l></block><block s="reportRandom"><l>20</l><l>350</l></block></list></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><l>theStage</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doWarp"><script><block s="doRepeat"><l>300</l><script><block s="doSetVar"><l>x</l><block s="reportRandom"><l>1</l><l>780</l></block></block><block s="doSetVar"><l>y</l><block s="reportRandom"><l>1</l><l>590</l></block></block><block s="doSetVar"><l>height</l><block s="reportQuotient"><custom-block s="Euclidean distance between %br point %mult%s and point %mult%s"><block var="vanishingPoint"/><list><block var="x"/><block var="y"/></list></custom-block><l>15</l></block></block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><l>theStage</l><custom-block s="%s as %txt"><block s="reportRandom"><l>1</l><l>11</l></block><l>RGB-value</l></custom-block></custom-block><custom-block s="draw text %txt at: %mult%s height: %n horizontal? %b %br on %txt using Snap! coordinates? %b"><l>why?</l><list><block var="x"/><block var="y"/></list><block var="height"/><l><bool>true</bool></l><l>theStage</l><l><bool>false</bool></l></custom-block></script></block></script></block></script></block-definition><block-definition s="read %&apos;type&apos; data from URL %&apos;url&apos;" type="reporter" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="197.33333333333326" collapsed="false">Returns the content of a TEXT, CSV, RGB, JSON or FITS file from a URL. RGB-data should have the dimensions in the last row, otherwise use CSV.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">TEXT<options>TEXT&#xD;CSV&#xD;RGB&#xD;JSON&#xD;FITS</options></input><input type="%txt">this url</input></inputs><script><block s="doDeclareVariables"><list><l>filedata</l><l>filetype</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>filetype</l><block var="url"/></block><block s="doUntil"><block s="reportVariadicLessThan"><list><custom-block s="index of %txt in %txt"><l>.</l><block var="filetype"/></custom-block><l>1</l></list></block><script><block s="doSetVar"><l>filetype</l><custom-block s="delete %txt %txt in %txt"><l>first</l><custom-block s="substring of %txt from %n to %n"><block var="filetype"/><l>1</l><custom-block s="index of %txt in %txt"><l>.</l><block var="filetype"/></custom-block></custom-block><block var="filetype"/></custom-block></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="type"/><l>TEXT</l></list></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>TXT</l></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>TEXT</l></list></block></list></block><script><block s="doReport"><block s="reportURL"><block var="url"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: filetype doesn&apos;t match!</l><l>read data from URL</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="type"/><l>CSV</l></list></block><block s="reportVariadicEquals"><list><block var="type"/><l>RGB</l></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>CSV</l></list></block><script><block s="doReport"><block s="reportTextSplit"><block s="reportURL"><block var="url"/></block><l><option>csv</option></l></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: filetype doesn&apos;t match!</l><l>read data from URL</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="type"/><l>JSON</l></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>JSON</l></list></block><script><block s="doReport"><block s="reportTextSplit"><block s="reportURL"><block var="url"/></block><l><option>json</option></l></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: filetype doesn&apos;t match!</l><l>read data from URL</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="type"/><l>FITS</l></list></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>FITS</l></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>FTS</l></list></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_readFITSdataFromArrayBuffer(arraybuffer)</l><list><block s="reportApplyExtension"><l>SciS_fetchBinary(url)</l><list><block var="url"/></list></block></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: filetype doesn&apos;t match!</l><l>read data from URL</l></custom-block></script></block></script><list></list></block></script></block></script></block-definition><block-definition s="read %&apos;type&apos; -file with filepicker" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="197.33333333333326" collapsed="false">Returns the content of a TEXT, CSV, RGB, JSON or FITS file, selected with filepicker. RGB-data should have the dimensions in the last row, otherwise use CSV.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">TEXT<options>TEXT&#xD;CSV&#xD;RGB&#xD;JSON&#xD;FITS</options></input></inputs><script><block s="doDeclareVariables"><list><l>filedata</l><l>filetype</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>filedata</l><custom-block s="select %s with filepicker"><l>file</l></custom-block></block><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block var="filedata"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: oops - something went wrong!</l><l>read file with filepicker</l></custom-block></script><script><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="filedata"/></block><l><option>list</option></l></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: choose only one file, please!</l><l>read file with filepicker</l></custom-block></script><script><block s="doSetVar"><l>filetype</l><block s="reportListItem"><l>1</l><block var="filedata"/></block></block><block s="doUntil"><block s="reportVariadicLessThan"><list><custom-block s="index of %txt in %txt"><l>.</l><block var="filetype"/></custom-block><l>1</l></list></block><script><block s="doSetVar"><l>filetype</l><custom-block s="delete %txt %txt in %txt"><l>first</l><custom-block s="substring of %txt from %n to %n"><block var="filetype"/><l>1</l><custom-block s="index of %txt in %txt"><l>.</l><block var="filetype"/></custom-block></custom-block><block var="filetype"/></custom-block></block></script></block><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="type"/><l>TEXT</l></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>TXT</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="type"/><l>CSV</l></list></block><block s="reportVariadicEquals"><list><block var="type"/><l>RGB</l></list></block></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>CSV</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="type"/><l>JSON</l></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>JSON</l></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="type"/><l>FITS</l></list></block><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>FITS</l></list></block><block s="reportVariadicEquals"><list><block s="reportTextAttribute"><l><option>upper case</option></l><block var="filetype"/></block><l>FTS</l></list></block></list></block></list></block></list></block><script><block s="doReport"><custom-block s="read file as BLOB %s"><block s="reportListItem"><l>2</l><block var="filedata"/></block></custom-block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: filetype doesn&apos;t match!</l><l>read file with filepicker</l></custom-block></script></block></script></block></script></block></script></block></script></block-definition><block-definition s="select %&apos;choice&apos; with filepicker" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="328.66666666666663" collapsed="false">Returns a list with one or more elements consisting of [filename/BLOB].</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">file<options>file&#xD;filelist</options></input></inputs><script><block s="doDeclareVariables"><list><l>ready</l></list></block><block s="doSetVar"><l>ready</l><block s="reportApplyExtension"><l>SciS_selectFileWithFilepicker(choice)</l><list><block var="choice"/></list></block></block><block s="doWaitUntil"><block s="reportListItem"><l>1</l><block s="evaluate"><block var="ready"/><list></list></block></block></block><block s="doReport"><block s="reportListItem"><l>2</l><block s="evaluate"><block var="ready"/><list></list></block></block></block></script></block-definition><block-definition s="read file as BLOB %&apos;source&apos;" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="205.33333333333334" collapsed="false">Returns the content of a TEXT, CSV, JSON or FITS file. The &quot;source&quot; could either be a BLOB or a list of filename and BLOB. RGB-data should have the dimensions in the last row, otherwise use CSV.</comment><header></header><code></code><translations></translations><inputs><input type="%s">this file</input></inputs><script><block s="doDeclareVariables"><list><l>ready</l></list></block><block s="doIf"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>text</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>2</l></list></block></list></block><script><block s="doSetVar"><l>source</l><block s="reportListItem"><l>2</l><block var="source"/></block></block></script><list></list></block></script><list></list></block><block s="doSetVar"><l>ready</l><block s="reportApplyExtension"><l>SciS_readFileAsBLOB(source)</l><list><block var="source"/></list></block></block><block s="doWaitUntil"><block s="reportListItem"><l>1</l><block s="evaluate"><block var="ready"/><list></list></block></block></block><block s="doReport"><block s="reportListItem"><l>2</l><block s="evaluate"><block var="ready"/><list></list></block></block></block></script></block-definition><block-definition s="write %&apos;data&apos; to %&apos;type&apos; -file %&apos;filename&apos;" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="124.1791359325606" collapsed="false">Saves the data to a file of the specified type.</comment><header></header><code></code><translations></translations><inputs><input type="%s">SciSnap!Data<options>SciSnap!Data&#xD;costumeData&#xD;other RGB data</options></input><input type="%s" readonly="true">TEXT<options>TEXT&#xD;CSV&#xD;RGB&#xD;JSON</options></input><input type="%txt">this file</input></inputs><script><block s="doDeclareVariables"><list><l>source</l></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>SciSnap!Data</l></list></block><script><block s="doSetVar"><l>source</l><block var="SciSnap!Data"/></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="data"/><l>costumeData</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportGet"><l><option>costume</option></l></block><l><option>costume</option></l></block><script><block s="doSetVar"><l>source</l><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></block><block s="doAddToList"><block s="reportNewList"><list><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><l>dimensions</l><l></l></list></block><block var="source"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>no costume data available!</l><l>write to ...file</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script></block></script><script><block s="doSetVar"><l>source</l><block var="data"/></block></script></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="type"/><l>TEXT</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>text</option></l></block><script><block s="doApplyExtension"><l>SciS_write(data,type,filename)</l><list><block var="source"/><l>TEXT</l><block var="filename"/></list></block></script><script><block s="doIfElse"><block s="reportIsA"><block var="data"/><l><option>list</option></l></block><script><block s="doApplyExtension"><l>SciS_write(data,type,filename)</l><list><block var="source"/><l>DATAASTEXT</l><block var="filename"/></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong data type!</l><l>write to ...file</l></custom-block></script></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="type"/><l>CSV</l></list></block><block s="reportVariadicEquals"><list><block var="type"/><l>RGB</l></list></block></list></block><script><block s="doSayFor"><block var="source"/><l>2</l></block><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><block s="doApplyExtension"><l>SciS_write(data,type,filename)</l><list><block var="source"/><l>CSV</l><block var="filename"/></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong data type!</l><l>write to ...file</l></custom-block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="type"/><l>JSON</l></list></block><script><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><block s="doApplyExtension"><l>SciS_write(data,type,filename)</l><list><block var="source"/><l>JSON</l><block var="filename"/></list></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>Wrong data type!</l><l>write to ...file</l></custom-block></script></block></script><list></list></block></script></block-definition><block-definition s="import %&apos;choice&apos; from %&apos;source&apos; to SciSnap!Data" type="command" category="1. SciSnap! globals"><comment x="0" y="0" w="177.26915922619068" collapsed="false">Imports text, table-CSV-data, costume-data, JSON-data, or FITS-data from current costume, a file or an URL to SciSnap!Data.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">CSV-data<options>TEXT-data&#xD;CSV-data&#xD;RGB-data&#xD;JSON-data&#xD;FITS-data&#xD;TEXT-BLOB&#xD;CSV-BLOB&#xD;JSON-BLOB&#xD;FITS-BLOB</options></input><input type="%s">filepicker<options>current-costume=costume&#xD;filepicker&#xD;URL</options></input></inputs><script><block s="doDeclareVariables"><list><l>data</l><l>properties</l><l>isBLOB?</l><l>posSeparator</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>choice</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="choice"/><l> </l></block></block></block><block s="doSetVar"><l>posSeparator</l><custom-block s="index of %txt in %txt"><l>-</l><block var="choice"/></custom-block></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="posSeparator"/><l>1</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong choice-parameter!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doSetVar"><l>isBLOB?</l><block s="reportVariadicEquals"><list><custom-block s="substring of %txt from %n to %n"><block var="choice"/><block s="reportVariadicSum"><list><block var="posSeparator"/><l>1</l></list></block><block s="reportTextAttribute"><l><option>length</option></l><block var="choice"/></block></custom-block><l>BLOB</l></list></block></block><block s="doSetVar"><l>choice</l><custom-block s="substring of %txt from %n to %n"><block var="choice"/><l>1</l><block s="reportDifference"><block var="posSeparator"/><l>1</l></block></custom-block></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="source"/><l>filepicker</l></list></block><script><block s="doSetVar"><l>source</l><custom-block s="read %s -file with filepicker"><block var="choice"/></custom-block></block></script><list><block var="isBLOB?"/><script><block s="doSetVar"><l>source</l><custom-block s="read file as BLOB %s"><block var="source"/></custom-block></block></script><block s="reportVariadicAnd"><list><block s="reportIsA"><block var="source"/><l><option>text</option></l></block><block s="reportVariadicNotEquals"><list><block var="source"/><l>costume</l></list></block></list></block><script><block s="doSetVar"><l>source</l><custom-block s="read %txt data from URL %txt"><block var="choice"/><block var="source"/></custom-block></block></script></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="source"/><l>ERROR: oops - something went wrong!</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: opps...something went wrong!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="source"/><l>costume</l></list></block><block s="reportNot"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>CSV</l></list></block></list></block></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: invalid combination of parameters!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="source"/><l>costume</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><custom-block s="costume of %s"><l>thisSprite</l></custom-block><l><option>costume</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no costume data available!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><custom-block s="create SciSnap! global variables and properties"></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><block var="choice"/></custom-block><block s="doSetVar"><l>SciSnap!Data</l><block s="reportGetImageAttribute"><l><option>pixels</option></l><l><option>current</option></l></block></block><block s="doSetVar"><l>data</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportIsA"><block var="value"/><l><option>number</option></l></block></autolambda><list><l>value</l></list></block><block s="reportListAttribute"><l><option>sorted</option></l><block s="reportListAttribute"><l><option>flatten</option></l><block var="SciSnap!Data"/></block></block></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>height</l><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><block s="reportListItem"><l>1</l><block var="data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><l>4</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><block s="reportListAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block></custom-block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB</l></list></block><script><block s="doAddToList"><block s="reportNewList"><list><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block><l>dimensions</l><l></l></list></block><block var="SciSnap!Data"/></block></script><list></list></block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>TEXT</l></list></block><script><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>text</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: opps...something went wrong!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><script><custom-block s="create SciSnap! global variables and properties"></custom-block><block s="doSetVar"><l>SciSnap!Data</l><block var="source"/></block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><l>TEXT</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><block s="reportTextAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>height</l><l>1</l></custom-block></script></block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>JSON</l></list></block><script><block s="doIfElse"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: opps...something went wrong!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><script><custom-block s="create SciSnap! global variables and properties"></custom-block><block s="doSetVar"><l>SciSnap!Data</l><block var="source"/></block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><l>JSON</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><block s="reportListItem"><l>2</l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="SciSnap!Data"/></block></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>height</l><block s="reportListItem"><l>1</l><block s="reportListAttribute"><l><option>dimensions</option></l><block var="SciSnap!Data"/></block></block></custom-block><block s="doSetVar"><l>data</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportIsA"><block var="value"/><l><option>number</option></l></block></autolambda><list><l>value</l></list></block><block s="reportListAttribute"><l><option>sorted</option></l><block s="reportListAttribute"><l><option>flatten</option></l><block var="SciSnap!Data"/></block></block></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><block s="reportListItem"><l>1</l><block var="data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></custom-block></script></block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB</l></list></block><block s="reportVariadicEquals"><list><block var="choice"/><l>CSV</l></list></block></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: opps...something went wrong!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>0</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no data found!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="choice"/><l>RGB</l></list></block><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="source"/></block><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: invalid dimension of data!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicNotEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="source"/></block></block><l>4</l></list></block><block s="reportVariadicNotEquals"><list><block s="reportListItem"><l>3</l><block s="reportListItem"><l><option>last</option></l><block var="source"/></block></block><l>dimensions</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: no RGB data found!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><custom-block s="create SciSnap! global variables and properties"></custom-block><block s="doDeleteFromList"><l><option>last</option></l><block var="source"/></block></script><script><custom-block s="create SciSnap! global variables and properties"></custom-block></script></block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><block var="choice"/></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>height</l><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block></custom-block><block s="doSetVar"><l>SciSnap!Data</l><custom-block s="copy of %s"><block var="source"/></custom-block></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="source"/></block><l>10000</l></list></block><script><block s="doSetVar"><l>data</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportIsA"><block var="value"/><l><option>number</option></l></block></autolambda><list><l>value</l></list></block><block s="reportListAttribute"><l><option>sorted</option></l><block s="reportListAttribute"><l><option>flatten</option></l><block var="source"/></block></block></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><block s="reportListItem"><l>1</l><block var="data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><block s="reportListItem"><l><option>last</option></l><block var="data"/></block></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><l>not set</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><l>not set</l></custom-block></script></block><block s="doIfElse"><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="SciSnap!Data"/></block><l><option>list</option></l></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="SciSnap!Data"/></block></block></custom-block></script><script><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><l>1</l></custom-block></script></block><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><custom-block s="SciSnap! global property %s"><l>width</l></custom-block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><custom-block s="SciSnap! global property %s"><l>height</l></custom-block></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>FITS</l></list></block><script><block s="doWarp"><script><block s="doIfElse"><block s="reportIsA"><block var="source"/><l><option>list</option></l></block><script><custom-block s="create SciSnap! global variables and properties"></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>typeOfData</l><l>FITS</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>header</l><block s="reportListItem"><l>1</l><block var="source"/></block></custom-block><block s="doSetVar"><l>properties</l><block s="reportListItem"><l>2</l><block var="source"/></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>minValue</l><block s="reportListItem"><l>3</l><block var="source"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>maxValue</l><block s="reportListItem"><l>4</l><block var="source"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>sum</l><block s="reportListItem"><l>5</l><block var="source"/></block></custom-block><block s="doSetVar"><l>SciSnap!Data</l><block s="reportListItem"><l>6</l><block var="source"/></block></block><custom-block s="set SciSnap! global property %txt to %s"><l>currentFilename</l><block s="reportListItem"><l>7</l><block var="source"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>width</l><block s="reportListItem"><l>NAXIS1</l><block s="reportListItem"><l>2</l><block var="source"/></block></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>height</l><block s="reportListItem"><l>NAXIS2</l><block s="reportListItem"><l>2</l><block var="source"/></block></block></custom-block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block><l>0</l></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><l>mean</l><block s="reportQuotient"><block s="reportListItem"><l>5</l><block var="source"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>stddev</l><block s="reportMonadic"><l><option>sqrt</option></l><block s="reportApplyExtension"><l>SciS_variance(data,mean)</l><list><block var="SciSnap!Data"/><block s="reportQuotient"><block s="reportListItem"><l>5</l><block var="source"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block></block></list></block></block></custom-block></script><list><l><bool>true</bool></l><script><custom-block s="set SciSnap! global property %txt to %s"><l>mean</l><l>not set</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>stddev</l><l>not set</l></custom-block></script></list></block><custom-block s="set SciSnap! global property %txt to %s"><l>rows</l><block s="reportListAttribute"><l><option>length</option></l><block var="SciSnap!Data"/></block></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>columns</l><l>1</l></custom-block><custom-block s="set SciSnap! global property %txt to %s"><l>times</l><l>1</l></custom-block><block s="doUntil"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="properties"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="properties"/></block></block><l></l></list></block></list></block><script><custom-block s="set SciSnap! global property %txt to %s"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="properties"/></block></block><block s="reportListItem"><l>2</l><block s="reportListItem"><l>1</l><block var="properties"/></block></block></custom-block><block s="doDeleteFromList"><l>1</l><block var="properties"/></block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: opps...something went wrong!</l><l>import ... to SciSnap!Data</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script></block></script></block></script><list></list></block></script></block-definition><block-definition s="report SciSnap! error %&apos;errortext&apos; $nl from %&apos;sender&apos; and stop all scripts" type="command" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="152.16666666666669" collapsed="false">Adds a new entry to SciSnap!Messages, shows the error message, and stopps all.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">something wrong!</input><input type="%txt">thisBlock</input></inputs><script><block s="doWarp"><script><block s="doSetVar"><l>sender</l><block s="reportJoinWords"><list><l>&lt;</l><block var="sender"/><custom-block s="translate %txt"><l>&gt; signals: </l></custom-block></list></block></block><block s="doUntil"><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="errortext"/></block><block s="reportVariadicSum"><list><block s="reportTextAttribute"><l><option>length</option></l><block var="sender"/></block><l>6</l></list></block></list></block><script><block s="doSetVar"><l>errortext</l><block s="reportJoinWords"><list><l> </l><block var="errortext"/><l> </l></list></block></block></script></block><block s="doAddToList"><block s="reportJoinWords"><list><block var="sender"/><custom-block s="translate %txt"><block var="errortext"/></custom-block></list></block><block var="SciSnap!Messages"/></block><custom-block s="show global message title: %txt %br message: %txt"><block var="sender"/><custom-block s="translate %txt"><block var="errortext"/></custom-block></custom-block><block s="doStopThis"><l><option>all</option></l></block></script></block></script></block-definition><block-definition s="INFO &quot;GraphPad&quot; for dealing with graphs" type="command" category="7. GraphPad for graph operations"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "GraphPad"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks for using any sprite or the stage as a sketch pad for displaying graphs,&#xD;i.e. systems made up of vertices ("nodes") and edges.&#xD;The graphs can be directed or undirected, provided with weights and arranged in a targeted or random manner.&#xD;Some standard procedures such as depth first or width first search etc. are implemented.&#xD;The properties of the "pad" used are initially set to default values, which can be changed using the corresponding blocks.&#xD;Some examples explain how the blocks can be used.</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a GraphPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;Color&apos; with close-button? %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="160.16666666666674" collapsed="false">Creates a new  empty costume of the specified size and color and sets local properties. </comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%s" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">true</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l><l>oldStageCostume</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doIfElse"><block s="reportIsA"><block s="reportAskFor"><l>Stage</l><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><l><option>costume</option></l></block><script><block s="doSetVar"><l>oldStageCostume</l><custom-block s="copy of costume %s"><block s="reportAskFor"><l>Stage</l><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block></block></script><script><block s="doSetVar"><l>oldStageCostume</l><l>null</l></block></script></block></script><list></list></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><l>lightGray</l><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><custom-block s="create %s var %mult%txt"><l>sprite</l><list><l>adjacencyMatrix</l><l>vertexList</l></list></custom-block></script><list></list></block><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSetVar"><l>adjacencyMatrix</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>vertexList</l><block s="reportNewList"><list></list></block></block></script><list></list></block><list></list></block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>GraphPad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfData</l><l>none</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xLeft</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>xRight</l><block var="width"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yUpper</l><l>1</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>yLower</l><block var="height"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>verticesMinRadius</l><l>3</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>verticesGrowing</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>verticesContentShown</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>edgesDirected</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>edgesWithWeights</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>edgesShowWeights</l><block s="reportBoolean"><l><bool>false</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>initialCostume</l><l>null</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doIf"><block s="reportIsA"><block var="oldStageCostume"/><l><option>costume</option></l></block><script><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block var="oldStageCostume"/></list></block></script><list><l><bool>true</bool></l><script><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>fillColor</l><l>theStage</l><custom-block s="%s as %txt"><block var="Color"/><l>RGB-value</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>fill</l><list><block s="reportListItem"><l>1</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block s="reportListItem"><l>2</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block></list><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block var="width"/></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block var="height"/></list></block></list><l>theStage</l><l><bool>false</bool></l></custom-block></script></list></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>lineColor</l><l>theStage</l><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><block s="reportListItem"><l>1</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block s="reportListItem"><l>2</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block></list><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block var="width"/></list></block><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><l>theStage</l></custom-block></block><block var="height"/></list></block></list><l>theStage</l><l><bool>false</bool></l></custom-block></script><list><l><bool>true</bool></l><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block var="width"/><block var="height"/><block var="Color"/></custom-block></list></block><custom-block s="set SketchPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="%s as %txt"><l>black</l><l>RGB-value</l></custom-block></custom-block><custom-block s="%txt rectangle from: %mult%s to: %mult%s on %txt %br using Snap! coordinates? %b"><l>draw</l><list><l>0</l><l>0</l></list><list><block var="width"/><block var="height"/></list><block var="target"/><l><bool>false</bool></l></custom-block></script></list></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>initialCostume</l><block var="target"/><custom-block s="copy of costume %s"><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></custom-block></custom-block></script></block></script><scripts><comment x="481.8333333333333" y="90.50000000000057" w="307.1666666666667" collapsed="false">Costume attributes and line attributes same as SketchPad.&#xD;&#xD;other attributes:&#xD;initial costume, maybe a map&#xD;vertex ranges for random coordinates&#xD;xLeft&#xD;xRight&#xD;yUpper&#xD;yLower&#xD;&#xD;vertex properties:&#xD;minimal radius of a vertex (should be changed if vertices &#xD;are not growing with number of edges) = verticesMinRadius&#xD;vertices grow with number of connected edges =  verticesGrowing&#xD;vertex content is shown (If there is no content the vertex number is shown) = verticesContentShown&#xD;&#xD;edge properties:&#xD;edge width=lineWidth&#xD;edge style=lineStyle&#xD;edge color=lineColor&#xD;fill color=fillColor&#xD;edges are directed=edgesDirected&#xD;edges have weights=edgesWithWeights&#xD;edges show weights=edgesShowWeights</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; a GraphPad?" type="predicate" category="7. GraphPad for graph operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l><option>myself</option></l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GraphPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><script><block s="doReport"><block s="reportAskFor"><l>Stage</l><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GraphPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><block var="sprite"/></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GraphPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="set GraphPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="128" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;initial costume=initialCostume&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;ranges for vertices={&#xD;x left=xLeft&#xD;x right=xRight&#xD;y lower=yLower&#xD;y upper=yUpper&#xD;}&#xD;vertex properties={&#xD;minimal radius=verticesMinRadius&#xD;vertices can grow=verticesGrowing&#xD;vertices show content=verticesContentShown&#xD;}&#xD;edge properties={&#xD;edge width=lineWidth&#xD;edge style=lineStyle&#xD;edge color=lineColor&#xD;fill color=fillColor&#xD;edges are directed=edgesDirected&#xD;edges have weights=edgesWithWeights&#xD;edges show weights=edgesShowWeights&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>set GraphPadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set GraphPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="GraphPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;initial costume=initialCostume&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;ranges for vertices={&#xD;x left=xLeft&#xD;x right=xRight&#xD;y lower=yLower&#xD;y upper=yUpper&#xD;}&#xD;vertex properties={&#xD;minimal radius=verticesMinRadius&#xD;vertices can grow=verticesGrowing&#xD;vertices show content=verticesContentShown&#xD;}&#xD;edge properties={&#xD;edge width=lineWidth&#xD;edge style=lineStyle&#xD;edge color=lineColor&#xD;fill color=fillColor&#xD;edges are directed=edgesDirected&#xD;edges have weights=edgesWithWeights&#xD;edges show weights=edgesShowWeights&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>GraphPadProperty of ...</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>GraphPadProperty of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set GraphPad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl back color: %&apos;color&apos; on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="119.32706197102902" collapsed="false">a simple way to set some costume attributes.&#xD;1: width&#xD;2: height&#xD;3: back color </comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>set GraphPad costume properties</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></custom-block></script><script><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block var="height"/></custom-block></script></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><custom-block s="GraphPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="GraphPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="GraphPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>xLeft</l><block var="target"/><block s="reportRound"><block s="reportVariadicProduct"><list><l>0.1</l><block var="width"/></list></block></block></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>xRight</l><block var="target"/><block s="reportRound"><block s="reportVariadicProduct"><list><l>0.9</l><block var="width"/></list></block></block></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>yLower</l><block var="target"/><block s="reportRound"><block s="reportVariadicProduct"><list><l>0.9</l><block var="height"/></list></block></block></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>yUpper</l><block var="target"/><block s="reportRound"><block s="reportVariadicProduct"><list><l>0.1</l><block var="height"/></list></block></block></custom-block></script></block></script></block-definition><block-definition s="set GraphPad vertex properties minSize: %&apos;minSize&apos; $nl growing? %&apos;isGrowing&apos; showsContent? %&apos;showsContent&apos; on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="197.2010396321616" collapsed="false">a simple way to set some vertex attributes:&#xD;1: ranges for random coordinates&#xD;    (xLeft,xRight, yUpper,yLower)&#xD;2: minimal radius of a vertex, should be&#xD;    changed is vertices are not growing&#xD;    with number of edges&#xD;3: boolean: vertices grow with number&#xD;    of connected edges&#xD;4: boolean: vertex content is shown. &#xD;    If there is no content, the vertex&#xD;    number is shown</comment><header></header><code></code><translations></translations><inputs><input type="%n">3</input><input type="%b">true</input><input type="%b">false</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>set GraphPad vertex properties</l></custom-block></script><list></list></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>verticesMinRadius</l><block var="target"/><block var="minSize"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>verticesGrowing</l><block var="target"/><block var="isGrowing"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>verticesContentShown</l><block var="target"/><block var="showsContent"/></custom-block></script></block></script></block-definition><block-definition s="set GraphPad edge properties lineWidth: %&apos;lineWidth&apos; $nl color: %&apos;color&apos; directed? %&apos;isDirected&apos; weighted? %&apos;withWeights&apos; $nl showsWeight? %&apos;showWeight&apos; on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="130.32706197102902" collapsed="false">a simple way to set some edge attributes:&#xD;1: line width&#xD;2: line color &#xD;3: boolean: edge is directed&#xD;4: boolean: edge has a weight&#xD;5: boolean: edge shows&#xD;    weight</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%mult%s"></input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>set GraphPad edge properties</l></custom-block></script><list></list></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><block var="lineWidth"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>edgesDirected</l><block var="target"/><block var="isDirected"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>edgesWithWeights</l><block var="target"/><block var="withWeights"/></custom-block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>edgesShowWeights</l><block var="target"/><block var="showWeight"/></custom-block></script></block></script></block-definition><block-definition s="new vertex at %&apos;position&apos; content: %&apos;value&apos; on graph of %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="227.99999999999997" collapsed="false">adds a vertex at position. Snap!coordinates means: zero is in the middle of the graph</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%s"></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>offsets</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>new vertex at ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>offsets</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><block var="target"/></custom-block></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>position</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></block><block s="reportListItem"><l>1</l><block var="offsets"/></block></block><block s="reportDifference"><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="reportListItem"><l>2</l><block var="offsets"/></block></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>1</l><block var="position"/></block><custom-block s="GraphPadProperty %txt of %txt"><l>xLeft</l><block var="target"/></custom-block></list></block><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><l>2</l><block var="position"/></block><custom-block s="GraphPadProperty %txt of %txt"><l>yUpper</l><block var="target"/></custom-block></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>1</l><block var="position"/></block><custom-block s="GraphPadProperty %txt of %txt"><l>xRight</l><block var="target"/></custom-block></list></block><block s="reportVariadicLessThanOrEquals"><list><block s="reportListItem"><l>2</l><block var="position"/></block><custom-block s="GraphPadProperty %txt of %txt"><l>yLower</l><block var="target"/></custom-block></list></block></list></block><script><block s="doSetVar"><l>dummy</l><block s="reportApplyExtension"><l>SciS_addVerticesToGraph(n,amatrix,vlist,properties,point)</l><list><l>1</l><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="position"/></list></block></block></script><list></list></block><block s="doReplaceInList"><l>4</l><block s="reportListItem"><l><option>last</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block var="value"/></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="add %&apos;n&apos; random vertices to graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="214.16666666666686" collapsed="false">adds n vertices to the vertexList of a GraphPad:&#xD;Vertex attributes have the following order:&#xD;1: x&#xD;2: y&#xD;3: size&#xD;4: content&#xD;5: isMarked&#xD;6: colorNr&#xD;7: numberOfLinks&#xD;&#xD;parameter &apos;null&apos; means &apos;random vertices&apos;</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>dummy</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>add ... random vertices to graph</l></custom-block></script><list></list></block><block s="doSetVar"><l>dummy</l><block s="reportApplyExtension"><l>SciS_addVerticesToGraph(n,amatrix,vlist,properties,point)</l><list><block var="n"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>null</l></list></block></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="move vertex %&apos;n&apos; of graph on %&apos;sprite&apos; to %&apos;position&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="130.83333333333334" collapsed="false">Moves a vertex to another position measured in Snap! sprite-coordinates</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%mult%s">100</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>offsets</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>move vertex ... of graph</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block><script><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>offsets</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><block var="target"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>position</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></block><block s="reportListItem"><l>1</l><block var="offsets"/></block></block><block s="reportDifference"><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="reportListItem"><l>2</l><block var="offsets"/></block></block></list></block></block></script><list></list></block><block s="doReplaceInList"><l>1</l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block s="reportListItem"><l>1</l><block var="position"/></block></block><block s="doReplaceInList"><l>2</l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block s="reportListItem"><l>2</l><block var="position"/></block></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>move vertex ... of graph</l></custom-block></script></block></script></block></script></block-definition><block-definition s="add edge from vertex %&apos;v1&apos; to vertex %&apos;v2&apos; to graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="107.5" collapsed="false">Creates a new edge between two vertices.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">2</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l><l>weight</l><l>e</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>add edge from vertex ... to vertex ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v2"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v2"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doSetVar"><l>vertex1</l><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doSetVar"><l>vertex2</l><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doIfElse"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesWithWeights</l><block var="target"/></custom-block><script><block s="doSetVar"><l>weight</l><block s="reportRound"><block s="reportQuotient"><custom-block s="Euclidean distance between %br point %mult%s and point %mult%s"><list><block s="reportListItem"><l>1</l><block var="vertex1"/></block><block s="reportListItem"><l>2</l><block var="vertex1"/></block></list><list><block s="reportListItem"><l>1</l><block var="vertex2"/></block><block s="reportListItem"><l>2</l><block var="vertex2"/></block></list></custom-block><l>10</l></block></block></block></script><script><block s="doSetVar"><l>weight</l><l>1</l></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>X</l></list></block><script><block s="doReplaceInList"><l>7</l><block var="vertex1"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>7</l><block var="vertex1"/></block><l>1</l></list></block></block><block s="doReplaceInList"><l>6</l><block var="vertex2"/><block s="reportListItem"><l>6</l><block var="vertex1"/></block></block><block s="doReplaceInList"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><block var="weight"/></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportListItem"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>X</l></list></block><block s="reportNot"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesDirected</l><block var="target"/></custom-block></block></list></block><script><block s="doReplaceInList"><l>7</l><block var="vertex2"/><block s="reportVariadicSum"><list><block s="reportListItem"><l>7</l><block var="vertex2"/></block><l>1</l></list></block></block><block s="doReplaceInList"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><block var="weight"/></block></script><list></list></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>add edge from vertex ... to vertex ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="add %&apos;n&apos; random edges to graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="150" collapsed="false">Creates n new edges randomly.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>result</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>add ... random edges to graph</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportApplyExtension"><l>SciS_addRandomEdgesToGraph(amatrix,n,properties,vlist)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block var="n"/><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></list></block></block><custom-block s="set %txt of %txt to %s"><l>adjacencyMatrix</l><block var="target"/><block s="reportListItem"><l>1</l><block var="result"/></block></custom-block><custom-block s="set %txt of %txt to %s"><l>vertexList</l><block var="target"/><block s="reportListItem"><l>2</l><block var="result"/></block></custom-block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="draw graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="155" collapsed="false">draws the graph on a GraphPad.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>initialCostume</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>draw graph on GraphPad</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><custom-block s="GraphPadProperty %txt of %txt"><l>initialCostume</l><block var="target"/></custom-block><l><option>costume</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target has no property &apos;initialCostume&apos;!</l><l>draw graph on GraphPad</l></custom-block></script><list></list></block><block s="doSetVar"><l>initialCostume</l><custom-block s="copy of costume %s"><custom-block s="GraphPadProperty %txt of %txt"><l>initialCostume</l><block var="target"/></custom-block></custom-block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="GraphPadProperty %txt of %txt"><l>initialCostume</l><block var="target"/></custom-block></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_drawGraphOnGraphPad(amatrix,vlist,properties)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></list></block></list></block><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>initialCostume</l><block var="target"/><block var="initialCostume"/></custom-block></script></block></script></block-definition><block-definition s="delete vertex %&apos;n&apos; of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="90" collapsed="false">Deletes a vertex.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>delete vertex ... of graph</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><l>1</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>vertexList</l><block var="target"/><block s="reportNewList"><list></list></block></custom-block><custom-block s="set %txt of %txt to %s"><l>adjacencyMatrix</l><block var="target"/><block s="reportNewList"><list></list></block></custom-block></script><script><block s="doDeleteFromList"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block s="doDeleteFromList"><block var="n"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><block s="doForEach"><l>item</l><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><script><block s="doDeleteFromList"><block var="n"/><block var="item"/></block></script></block></script></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="delete edge from vertex %&apos;v1&apos; to vertex %&apos;v2&apos; $nl of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="90" collapsed="false">Deletes an edge.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">2</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>delete edge from vertex ... to vertex ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v2"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v2"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doSetVar"><l>vertex1</l><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doSetVar"><l>vertex2</l><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>0</l></list></block><script><block s="doReplaceInList"><l>7</l><block var="vertex1"/><block s="reportDifference"><block s="reportListItem"><l>7</l><block var="vertex1"/></block><l>1</l></block></block><block s="doReplaceInList"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><l>X</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="reportListItem"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>0</l></list></block><block s="reportNot"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesDirected</l><block var="target"/></custom-block></block></list></block><script><block s="doReplaceInList"><l>7</l><block var="vertex2"/><block s="reportDifference"><block s="reportListItem"><l>7</l><block var="vertex2"/></block><l>1</l></block></block><block s="doReplaceInList"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><l>X</l></block></script><list></list></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>delete edge from vertex ... to vertex ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="weight of edge from vertex %&apos;v1&apos; to vertex %&apos;v2&apos; $nl of graph on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%s">2</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>weight of edge ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v2"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v2"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doSetVar"><l>vertex1</l><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doSetVar"><l>vertex2</l><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doIfElse"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesWithWeights</l><block var="target"/></custom-block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>X</l></list></block><script><block s="doReport"><block s="reportListItem"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: there is no connection between these vertices!</l><l>weight of edge ...</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: in this Graph edges have no weights!</l><l>weight of edge ...</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>weight of edge ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="change weight of edge from vertex %&apos;v1&apos; to vertex %&apos;v2&apos; $nl to %&apos;weight&apos; of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="132.5" collapsed="false">Sets the weight of an edge.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">2</input><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>change weight of edge ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v2"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v2"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doSetVar"><l>vertex1</l><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doSetVar"><l>vertex2</l><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doIfElse"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesWithWeights</l><block var="target"/></custom-block><script><block s="doIfElse"><block s="reportVariadicNotEquals"><list><block s="reportListItem"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>X</l></list></block><script><block s="doReplaceInList"><block var="v2"/><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><block var="weight"/></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicNotEquals"><list><block s="reportListItem"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block></block><l>X</l></list></block><block s="reportNot"><custom-block s="GraphPadProperty %txt of %txt"><l>edgesDirected</l><block var="target"/></custom-block></block></list></block><script><block s="doReplaceInList"><block var="v1"/><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block></block><block var="weight"/></block></script><list></list></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: there is no connection between these vertices!</l><l>change weight of edge ...</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: in this Graph edges have no weights!</l><l>change weight of edge ...</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>change weight of edge ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="ask for new weight of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations" space="true"><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>n1</l><l>n2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>ask for new weight of graph ...</l></custom-block></script><list></list></block><block s="doAsk"><l>from vertex nr</l></block><block s="doIf"><block s="reportIsA"><block s="getLastAnswer"></block><l><option>number</option></l></block><script><block s="doSetVar"><l>n1</l><block s="getLastAnswer"></block></block><block s="doAsk"><l>to vertex nr</l></block><block s="doIf"><block s="reportIsA"><block s="getLastAnswer"></block><l><option>number</option></l></block><script><block s="doSetVar"><l>n2</l><block s="getLastAnswer"></block></block><block s="doAsk"><l>new weight</l></block><block s="doIf"><block s="reportIsA"><block s="getLastAnswer"></block><l><option>number</option></l></block><script><custom-block s="change weight of edge from vertex %n to vertex %n %br to %n of graph on %txt"><block var="n1"/><block var="n2"/><block s="getLastAnswer"></block><block var="target"/></custom-block></script><list></list></block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="ask for new start vertex width of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="142.5" collapsed="false">Input for start vertex.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>aske for new start vertex width</l></custom-block></script><list></list></block><block s="doAsk"><l>new start vertexwidth (1....20)</l></block><block s="doIf"><block s="reportIsA"><block s="getLastAnswer"></block><l><option>number</option></l></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block s="getLastAnswer"></block><l>0</l></list></block><block s="reportVariadicLessThan"><list><block s="getLastAnswer"></block><l>21</l></list></block></list></block><script><custom-block s="set GraphPadProperty %txt of %txt to %s"><l>verticesMinRadius</l><block var="target"/><block s="getLastAnswer"></block></custom-block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="content of vertex %&apos;n&apos; of graph on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>content of vertex ..-. of graph</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReport"><block s="reportListItem"><l>4</l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>content of vertex ..-. of graph</l></custom-block></script></block></script></block></script></block-definition><block-definition s="change content of vertex %&apos;n1&apos; to %&apos;value&apos; of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="133.33333333333334" collapsed="false">Sets the content of a vertex.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>change content of vertex ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="n1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doSetVar"><l>vertex</l><block s="reportListItem"><block var="n1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doReplaceInList"><l>4</l><block s="reportListItem"><block var="n1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block var="value"/></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>change content of vertex ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="ask for new vertex content in graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="145" collapsed="false">Input for a new vertex content.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>nr</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>ask for new vertex content</l></custom-block></script><list></list></block><block s="doAsk"><l>vertex number</l></block><block s="doIf"><block s="reportIsA"><block s="getLastAnswer"></block><l><option>number</option></l></block><script><block s="doSetVar"><l>nr</l><block s="getLastAnswer"></block></block><block s="doAsk"><l>new value</l></block><custom-block s="change content of vertex %n to %txt of graph on %txt"><block var="nr"/><block s="getLastAnswer"></block><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="set marker of vertex %&apos;n&apos; of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="131.5491383870445" collapsed="false">Tells a vertex to be marked.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>set marker of vertex ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReplaceInList"><l>5</l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block s="reportBoolean"><l><bool>true</bool></l></block></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="remove marker of vertex %&apos;n&apos; of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="94.04913838704452" collapsed="false">Deletes a marker.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>remove marker of vertex</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="n"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="n"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReplaceInList"><l>5</l><block s="reportListItem"><block var="n"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block><block s="reportBoolean"><l><bool>false</bool></l></block></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script><list></list></block></script></block></script></block-definition><block-definition s="remove all markers of graph on %&apos;sprite&apos;" type="command" category="7. GraphPad for graph operations"><comment x="0" y="0" w="94.04913838704452" collapsed="false">Deletes all markers.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad</l><l>remove all markers of graph</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><block s="doForEach"><l>item</l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><script><block s="doReplaceInList"><l>5</l><block var="item"/><block s="reportBoolean"><l><bool>false</bool></l></block></block></script></block><custom-block s="draw graph on %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="depth first search of content %&apos;cont&apos; $nl starting at vertex %&apos;nr&apos; of graph on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations" space="true"><comment x="0" y="0" w="132.5" collapsed="false">Depth first search in a graph.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>depth first search ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="nr"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="nr"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_depthFirstSearch(amatrix,vlist,cont,n)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block var="cont"/><block var="nr"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>depth first search ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="breadth first search of content %&apos;cont&apos; $nl starting at vertex %&apos;nr&apos; of graph on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="146.66666666666669" collapsed="false">Breadth first search in a graph.</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>nextVertices</l><l>vertexNr</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>breadth first search</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="nr"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="nr"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_breadthFirstSearch(amatrix,vlist,cont,n)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block var="cont"/><block var="nr"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>breadth first search</l></custom-block></script></block></script></block></script></block-definition><block-definition s="distance on %&apos;sprite&apos; from vertex %&apos;v1&apos; to vertex %&apos;v2&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="111.6666666666667" collapsed="false">Reports the Euclidean distance of two vertices.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">1</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>vertex1</l><l>vertex2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>distance on ... from ... to ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v1"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v1"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="v2"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="v2"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doSetVar"><l>vertex1</l><block s="reportListItem"><block var="v1"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doSetVar"><l>vertex2</l><block s="reportListItem"><block var="v2"/><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></block><block s="doReport"><block s="reportRound"><block s="reportQuotient"><custom-block s="Euclidean distance between %br point %mult%s and point %mult%s"><list><block s="reportListItem"><l>1</l><block var="vertex1"/></block><block s="reportListItem"><l>2</l><block var="vertex1"/></block></list><list><block s="reportListItem"><l>1</l><block var="vertex2"/></block><block s="reportListItem"><l>2</l><block var="vertex2"/></block></list></custom-block><l>10</l></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>distance on ... from ... to ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="shortest path in graph from vertex %&apos;startVertex&apos; $nl to vertex %&apos;endVertex&apos; on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="147.8313293457031" collapsed="false">Shortes path between two vertices, using Dijkstra-method.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">2</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>shortest path on graph</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="startVertex"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="startVertex"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="endVertex"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="endVertex"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_shortestPath(amatrix,start,end)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block var="startVertex"/><block var="endVertex"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>shortest path on graph</l></custom-block></script></block></script></block></script></block-definition><block-definition s="list of all shortest paths in graph from vertex %&apos;startVertex&apos; $nl to all connected vertices of graph on %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="195.11549479166646" collapsed="false">Shortes paths between startVertex and all connected vertices, using Dijkstra-method.</comment><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>list of all shortest paths</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThan"><list><block var="startVertex"/><l>0</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="startVertex"/><block s="reportListAttribute"><l><option>length</option></l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block></block></list></block></list></block><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_allShortestPaths(amatrix,start)</l><list><block s="reportAttributeOf"><l>adjacencyMatrix</l><block var="target"/></block><block var="startVertex"/></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: index out of range!</l><l>list of all shortest paths</l></custom-block></script></block></script></block></script></block-definition><block-definition s="vertexnumber at %&apos;position&apos; of graph on %&apos;sprite&apos; $nl using Snap! coordinates? %&apos;snap!Coordinates&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="155" collapsed="false">Returns the vertexnumber of a vertex near (x|y), if there is one.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%n"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>offsets</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>vertexnumber at ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doSetVar"><l>offsets</l><custom-block s="GraphPadProperty %txt of %txt"><l>offsets</l><block var="target"/></custom-block></block><block s="doIf"><block var="snap!Coordinates"/><script><block s="doSetVar"><l>position</l><block s="reportNewList"><list><block s="reportDifference"><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></block><block s="reportListItem"><l>1</l><block var="offsets"/></block></block><block s="reportDifference"><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></block><block s="reportListItem"><l>2</l><block var="offsets"/></block></block></list></block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_vertexnumberAtGraph(vlist,properties,position)</l><list><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="position"/></list></block></block></script></block></script></block-definition><block-definition s="vertexnumber of %&apos;content&apos; in graph of %&apos;sprite&apos;" type="reporter" category="7. GraphPad for graph operations"><comment x="0" y="0" w="150.83333333333334" collapsed="false">Reports the vertexnumber of the vertex with the specified content. If not found then reports 0.</comment><header></header><code></code><translations></translations><inputs><input type="%s">Peter</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>nr</l><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GraphPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GraphPad!</l><l>vertexnumber with content ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>nr</l><l>0</l></block><block s="doForEach"><l>item</l><block s="reportAttributeOf"><l>vertexList</l><block var="target"/></block><script><block s="doChangeVar"><l>nr</l><l>1</l></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListItem"><l>4</l><block var="item"/></block><block var="content"/></list></block><script><block s="doReport"><block var="nr"/></block></script><list></list></block></script></block><block s="doReport"><l>0</l></block></script></block></script></block-definition><block-definition s="Graph Example: small worlds (needs some seconds)" type="command" category="7. GraphPad for graph operations" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as a GraphPad width: %n height: %n %br color: %s with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>true</bool></l><l></l></custom-block><block s="bubble"><l>mean distance between the nodes: ...</l></block><block s="doRepeat"><l>100</l><script><custom-block s="add %n random vertices to graph on %txt"><l>1</l><l>thisSprite</l></custom-block><custom-block s="add %n random edges to graph on %txt"><l>1</l><l>thisSprite</l></custom-block></script></block><block s="bubble"><custom-block s="round %n to %n digits"><custom-block s="%s of %s"><l>mean</l><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="%s of %s"><l>mean</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>2</l><custom-block s="list of all shortest paths in graph from vertex %n %br to all connected vertices of graph on %txt"><l></l><l>thisSprite</l></custom-block><l><bool>true</bool></l></custom-block></custom-block></autolambda><list></list></block><block s="reportNumbers"><l>1</l><block s="reportListAttribute"><l><option>length</option></l><block var="vertexList"/></block></block></block></custom-block><l>2</l></custom-block></block></script></block-definition><block-definition s="Graph Example: distribution of links" type="command" category="7. GraphPad for graph operations"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>diagramSprite</l></list></block><block s="bubble"><l></l></block><custom-block s="configure %s as a GraphPad width: %n height: %n %br color: %s with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>true</bool></l><l></l></custom-block><custom-block s="add %n random vertices to graph on %txt"><l>100</l><l>thisSprite</l></custom-block><custom-block s="add %n random edges to graph on %txt"><l>100</l><l>thisSprite</l></custom-block><block s="doSetVar"><l>SciSnap!Data</l><block s="reportMap"><block s="reifyReporter"><script><block s="doIfElse"><block s="reportIsA"><l></l><l><option>number</option></l></block><script><block s="doReport"><l></l></block></script><script><block s="doReport"><l>0</l></block></script></block></script><list></list></block><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="%s of %s"><l>number</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicNotEquals"><list><l></l><l>X</l></list></block></autolambda><list></list></block><l/></block></custom-block></autolambda><list></list></block><block var="adjacencyMatrix"/></block></block></block><block s="doSetVar"><l>diagramSprite</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>duplicate</l><block s="reportGet"><l><option>self</option></l></block><l>DiagramSprite</l></custom-block></block><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>DiagramSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>true</bool></l><l>15</l></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>DiagramSprite</l><l>Edges per Node</l><l>18</l><l>Number of Edges</l><l>16</l><l>Number of Vertices</l><l>16</l></custom-block><custom-block s="add histogram of %s with %n groups %br to PlotPad %txt y-axis starting with 0? %b"><block var="SciSnap!Data"/><l>6</l><l>DiagramSprite</l><l><bool>true</bool></l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>DiagramSprite</l></custom-block></script></block-definition><block-definition s="INFO &quot;NNPad&quot; for dealing with Neural Nets" type="command" category="8. NNPad for neural networks"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "NNPad for Neural Net operations"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks for using any sprite or the stage as a sketch pad for displaying neural networks.&#xD;These consist of fully connected layers of perceptrons. The width and depth of the network can be set.&#xD;The backpropagation method is used as the learning method.&#xD;The weights in the networks are indicated by coloring of the edges: positive values appear green, negative values red.&#xD;Values close to zero are shown in gray. These colorings can be used to see how and what a network learns.&#xD;The properties of the "pad" used are initially set to default values, which can be changed using the corresponding blocks.&#xD;Some examples explain how the blocks are used.</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as a NeuralNetPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button? %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="8. NNPad for neural networks" space="true"><comment x="0" y="0" w="178.33333333333334" collapsed="false">Creates a new  empty costume of the specified size and color ans sets local properties for a NeuralNet.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%s" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><block var="color"/><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>NNPad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfData</l><l>weights</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>numberOfLayers</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>layerWidth</l><l>0</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>netWidth</l><block var="width"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>netHeight</l><block var="height"/></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>inputs</l><block s="reportNewList"><list></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></script></block></script><scripts><comment x="462.61067708333366" y="113.30555555555561" w="192.5" collapsed="false">costume properties:&#xD;1: width&#xD;2: height&#xD;3: back color red&#xD;4: back color green&#xD;5: back color blue&#xD;6: left offset for NN position on stage&#xD;7: upper offset for NN position on stage&#xD;&#xD;neural net properties:&#xD;1: number of layers&#xD;2: layer width&#xD;3: width of NN&#xD;4: height of NN</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; a NNPad?" type="predicate" category="8. NNPad for neural networks"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l><option>myself</option></l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>NNPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><script><block s="doReport"><block s="reportAskFor"><l>Stage</l><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>NNPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><block var="sprite"/></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>NNPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="set NNPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="8. NNPad for neural networks"><comment x="0" y="0" w="131.66666666666669" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">numberOfLayers<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;net properties={&#xD;number of layers=numberOfLayers&#xD;layer width=layerWidth&#xD;net width=netWidth&#xD;net height=netHeight&#xD;input list=inputs&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>set NNPadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set NNPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="NNPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="8. NNPad for neural networks"><comment x="0" y="0" w="92.5" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">numberOfLayers<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;net properties={&#xD;number of layers=numberOfLayers&#xD;layer width=layerWidth&#xD;net width=netWidth&#xD;net height=netHeight&#xD;input list=inputs&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>set NNPadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set NNPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set NNPad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; offsets: %&apos;offsets&apos; on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks"><comment x="0" y="0" w="209.18420482817183" collapsed="false">a simple way to set some costume attributes:&#xD;1: width&#xD;2: height&#xD;3: back color &#xD;4: offsets for NN position on stage</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%mult%n"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>set NNPad costume properties</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><custom-block s="set NNPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="offsets"/></custom-block></custom-block></script><script><custom-block s="set NNPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block var="height"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><l>0</l><l>0</l></list></block></custom-block></script></block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>netWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>netHeight</l><block var="target"/><block var="height"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><l>0</l><l>0</l></list></block></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><custom-block s="NNPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="NNPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="NNPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set NNPad net properties numberOfLayers: %&apos;layers&apos; layerWidth: %&apos;layerWidth&apos; $nl on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks"><comment x="0" y="0" w="196.82706197102902" collapsed="false">a simple way to set net attributes:&#xD;1: number of layers&#xD;2: layer width</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">3</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>setNNPad net properties</l></custom-block><block s="doStopThis"><l><option>this block</option></l></block></script><list></list></block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>numberOfLayers</l><block var="target"/><block var="layers"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>layerWidth</l><block var="target"/><block var="layerWidth"/></custom-block></script></block></script></block-definition><block-definition s="NN add new weights for %&apos;depth&apos; layers of width %&apos;width&apos; on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks" space="true"><comment x="0" y="0" w="146.4285714285717" collapsed="false">Creates a fully connected neural network of perceptrons. Inputs should be connected to layer 1, outputs to last layer.</comment><header></header><code></code><translations></translations><inputs><input type="%n">2</input><input type="%n">3</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>row</l><l>matrix</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>NN add new weights</l></custom-block></script><list></list></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><block s="reportNewList"><list></list></block></custom-block><block s="doRepeat"><block var="depth"><comment w="115.85714185714295" collapsed="false">one matrix for each layer</comment></block><script><block s="doSetVar"><l>matrix</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>i</l><l>1</l><block var="width"/><script><block s="doSetVar"><l>row</l><block s="reportNewList"><list></list></block></block><block s="doFor"><l>j</l><l>1</l><block var="width"/><script><block s="doAddToList"><custom-block s="random"></custom-block><block var="row"/></block></script></block><block s="doAddToList"><l>1</l><block var="row"/></block><block s="doAddToList"><block var="row"/><block var="matrix"/></block></script></block><block s="doAddToList"><block var="matrix"/><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script></block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>numberOfLayers</l><block var="target"/><block var="depth"/></custom-block><custom-block s="set NNPadProperty %txt of %txt to %s"><l>layerWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="NN show status on %txt"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="NN output of %&apos;n&apos; layer on %&apos;sprite&apos;" type="reporter" category="8. NNPad for neural networks"><comment x="0" y="0" w="173.33333333333334" collapsed="false">Reports the output of the nth layer of a neural network with given input.</comment><header></header><code></code><translations></translations><inputs><input type="%s">last<options>1&#xD;last</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>input</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite isn&apos;t configured as NNPad!</l><l>NN output</l></custom-block></script><list></list></block><block s="doSetVar"><l>input</l><custom-block s="NNPadProperty %txt of %txt"><l>inputs</l><block var="target"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="input"/></block><l>0</l></list></block><script><custom-block s="set NNPadProperty %txt of %txt to %s"><l>inputs</l><block var="target"/><block s="reportNumbers"><l>1</l><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block></block></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="input"/><l>vector</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong data format, numerical input required!</l><l>NN output</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicEquals"><list><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block><block s="reportListAttribute"><l><option>length</option></l><block var="input"/></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: the input should match the net width!</l><l>NN output</l></custom-block></script><script><block s="doReport"><block s="reportApplyExtension"><l>SciS_NNoutput(weights,width,depth,n,input)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block><custom-block s="NNPadProperty %txt of %txt"><l>numberOfLayers</l><block var="target"/></custom-block><block var="n"/><block var="input"/></list></block></block></script></block></script></block></script></block-definition><block-definition s="NN show status on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks"><comment x="0" y="0" w="185.33333333333334" collapsed="false">Draws the nodes and current status of connections of an NN as new costume.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>layerOutputs</l><l>netWidth</l><l>depth</l><l>input</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>NN show status</l></custom-block></script><list></list></block><block s="doSetVar"><l>input</l><custom-block s="NNPadProperty %txt of %txt"><l>inputs</l><block var="target"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="input"/></block><l>0</l></list></block><script><custom-block s="set NNPadProperty %txt of %txt to %s"><l>inputs</l><block var="target"/><block s="reportNumbers"><l>1</l><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block></block></custom-block><block s="doSetVar"><l>input</l><custom-block s="NNPadProperty %txt of %txt"><l>inputs</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicEquals"><list><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block><block s="reportListAttribute"><l><option>length</option></l><block var="input"/></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: input doesn&apos;t match netwidth!</l><l>NN show status</l></custom-block></script><script><block s="doSetVar"><l>depth</l><custom-block s="NNPadProperty %txt of %txt"><l>numberOfLayers</l><block var="target"/></custom-block></block><block s="doSetVar"><l>layerOutputs</l><block s="reportNewList"><list></list></block></block><block s="doAddToList"><block var="input"/><block var="layerOutputs"/></block><block s="doFor"><l>i</l><l>1</l><block var="depth"/><script><block s="doAddToList"><custom-block s="NN output of %s layer on %txt"><block var="i"/><block var="target"/></custom-block><block var="layerOutputs"/></block></script></block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_NNshowStatus(properties,weights,outputs,costume,isStage)</l><list><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="layerOutputs"/><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></list></block></list></block></script></block></script></block-definition><block-definition s="teach NN with input %&apos;input&apos; and target output %&apos;output&apos; by back- $nl propagation with learning factor %&apos;eta&apos; on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks" space="true"><comment x="0" y="0" w="154.83333333333331" collapsed="false">A block for teaching a neural net.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input><input type="%n">0.1</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>width</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a NNPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as NNPad</l><l>teach NN</l></custom-block></script><list></list></block><block s="doSetVar"><l>width</l><custom-block s="NNPadProperty %txt of %txt"><l>layerWidth</l><block var="target"/></custom-block></block><block s="doIfElse"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="width"/><block s="reportListAttribute"><l><option>length</option></l><block var="input"/></block></list></block><block s="reportVariadicEquals"><list><block var="width"/><block s="reportListAttribute"><l><option>length</option></l><block var="output"/></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: data don&apos;t match netwidth!</l><l>teach NN</l></custom-block></script><script><custom-block s="set NNPadProperty %txt of %txt to %s"><l>inputs</l><block var="target"/><block var="input"/></custom-block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><block s="reportApplyExtension"><l>SciS_NNteach(weights,width,depth,input,output,eta)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="width"/><custom-block s="NNPadProperty %txt of %txt"><l>numberOfLayers</l><block var="target"/></custom-block><block var="input"/><block var="output"/><block var="eta"/></list></block></custom-block></script></block></script></block></script></block-definition><block-definition s="NN Example: on %&apos;sprite&apos;" type="command" category="8. NNPad for neural networks" space="true"><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><custom-block s="configure %s as a NeuralNetPad width: %n height: %n %br color: %s with close-button? %b left? %b size: %n"><block var="sprite"/><l>600</l><l>300</l><l>lightGray</l><l><bool>true</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="NN add new weights for %n layers of width %n on %txt"><l>2</l><l>20</l><block var="sprite"/></custom-block><block s="doRepeat"><l>300</l><script><custom-block s="teach NN with input %l and target output %l by back- %br propagation with learning factor %n on %txt"><block s="reportNumbers"><l>1</l><l>20</l></block><block s="reportNewList"><list><l>1</l><l>0</l><l>0</l><l>-1</l><l>0</l><l>0</l><l>0</l><l>1</l><l>0</l><l>0</l><l>0</l><l>0</l><l>0</l><l>1</l><l>-1</l><l>-1</l><l>-1</l><l>0</l><l>0</l><l>0</l></list></block><l>0.1</l><block var="sprite"/></custom-block><custom-block s="NN show status on %txt"><block var="sprite"/></custom-block></script></block></script></block-definition><block-definition s="INFO &quot;GridPad&quot; for dealing with cellular automata" type="command" category="9. GridPad for grid operations"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="show global message title: %txt %br message: %txt"><custom-block s="translate %txt"><l>INFO about "GridPad for grid operations"</l></custom-block><custom-block s="translate %txt"><l>This category contains blocks for using any sprite or the stage as a sketch pad for displaying grids that are used for cellular automata, for example.&#xD;Blocks are available for determining neighborhoods, processing neighboring blocks with settable properties, etc.&#xD;The colors of the cells are determined via color codes ("numerical values").&#xD;The properties of the "pad" used are initially set to default values, which can be changed using the corresponding blocks.&#xD;Some examples explain how the blocks are used.</l></custom-block></custom-block></script></block-definition><block-definition s="configure %&apos;sprite&apos; as an GridPad width: %&apos;width&apos; height: %&apos;height&apos; $nl color: %&apos;color&apos; with close-button? %&apos;withCloseButton?&apos; left? %&apos;left?&apos; size: %&apos;closeButtonSize&apos;" type="command" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="142.5" collapsed="false">Creates a new  empty costume of the specified size and color and sets local properties</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">400</input><input type="%n">300</input><input type="%txt" readonly="true">lightGray<options>black&#xD;gray&#xD;lightGray&#xD;white&#xD;red&#xD;orange&#xD;yellow&#xD;green&#xD;cyan&#xD;blue&#xD;magenta</options></input><input type="%b">false</input><input type="%b">false</input><input type="%n">15</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>costumeWidth</l><l>costumeHeight</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><custom-block s="configure %txt as a SketchPad width: %n height: %n %br color: %s with close-button %b left? %b size: %n"><block var="target"/><block var="width"/><block var="height"/><block var="color"/><block var="withCloseButton?"/><block var="left?"/><block var="closeButtonSize"/></custom-block><block s="doReplaceInList"><l>typeOfConfiguration</l><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><l>GridPad</l></block><block s="doAddToList"><block s="reportNewList"><list><l>typeOfData</l><l>number</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>numberOfGridRows</l><block s="reportRound"><block s="reportQuotient"><block var="height"/><l>10</l></block></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>numberOfGridColumns</l><block s="reportRound"><block s="reportQuotient"><block var="width"/><l>10</l></block></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>cellWidth</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>cellHeight</l><l>10</l></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>withGridLines</l><block s="reportBoolean"><l><bool>true</bool></l></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doAddToList"><block s="reportNewList"><list><l>cellColors</l><block s="reportNewList"><list><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>0</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>255</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>0</l><l>255</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>180</l><l>180</l><l>180</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>165</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>0</l><l>255</l><l>255</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>0</l><l>255</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>255</l><l>0</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>230</l><l>230</l><l>230</l></list></block></list></block><block s="reportNewList"><list><block s="reportNewList"><list><l>255</l><l>255</l><l>255</l></list></block></list></block></list></block></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="color"/><l>black</l></list></block><script><block s="doSetVar"><l>color</l><l>1</l></block></script><list><block s="reportVariadicEquals"><list><block var="color"/><l>red</l></list></block><script><block s="doSetVar"><l>color</l><l>2</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>green</l></list></block><script><block s="doSetVar"><l>color</l><l>3</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>blue</l></list></block><script><block s="doSetVar"><l>color</l><l>4</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>gray</l></list></block><script><block s="doSetVar"><l>color</l><l>5</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>orange</l></list></block><script><block s="doSetVar"><l>color</l><l>6</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>cyan</l></list></block><script><block s="doSetVar"><l>color</l><l>7</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>magenta</l></list></block><script><block s="doSetVar"><l>color</l><l>8</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>yellow</l></list></block><script><block s="doSetVar"><l>color</l><l>9</l></block></script><block s="reportVariadicEquals"><list><block var="color"/><l>white</l></list></block><script><block s="doSetVar"><l>color</l><l>10</l></block></script><l><bool>true</bool></l><script><block s="doSetVar"><l>color</l><l>11</l></block></script></list></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><custom-block s="%n x %n table %br initialized with %s"><block s="reportRound"><block s="reportQuotient"><block var="width"/><l>10</l></block></block><block s="reportRound"><block s="reportQuotient"><block var="height"/><l>10</l></block></block><block var="color"/></custom-block></custom-block><custom-block s="add grid %s on %s"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="target"/></custom-block></script></block></script><scripts><comment x="512.8333333333335" y="114.16666666666693" w="192.5" collapsed="false">Costume attributes and line attributes same as SketchPad.&#xD;&#xD;other attributes:&#xD;numberOfGridColumns&#xD;numberOfGridRows&#xD;cellWidth&#xD;cellHeight&#xD;cellColors&#xD;&#xD;1: black&#xD;2: red&#xD;3: green&#xD;4: blue&#xD;5: gray&#xD;6: orange&#xD;7: cyan&#xD;8: magenta&#xD;9: yellow&#xD;10: lightGray&#xD;11: white&#xD;&#xD;&#xD;</comment></scripts></block-definition><block-definition s="is %&apos;sprite&apos; a GridPad?" type="predicate" category="9. GridPad for grid operations"><comment x="0" y="0" w="134" collapsed="false">Reports whether the sprite is configured as a GridPad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l><option>myself</option></l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GridPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><l>Stage</l></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GridPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script><script><block s="doReport"><block s="reportAskFor"><block s="reportObject"><block var="sprite"/></block><block s="reifyReporter"><autolambda><custom-block s="is %s a %s ?"><l>thisSprite</l><l>GridPad</l></custom-block></autolambda><list></list></block><list></list></block></block></script></block></script></block></script></block></script></block-definition><block-definition s="set GridPadProperty %&apos;key&apos; of %&apos;sprite&apos; to %&apos;value&apos;" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="128" collapsed="false">Sets the value of an existing property or inserts it anew.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;line properties={&#xD;line width=lineWidth&#xD;line style=lineStyle&#xD;line color=lineColor&#xD;fill color=fillColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;grid proterties={&#xD;number of grid columns=numberOfGridColumns&#xD;number of grid rows=numberOfGridRows&#xD;cell width=cellWidth&#xD;cell height=cellHeight&#xD;cell colors=cellColors&#xD;with grid lines=withGridLines&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>set GridPadProperty</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReplaceInList"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="value"/></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: Missing variable "myProperties"!</l><l>set GridPadProperty</l></custom-block></script></block></script></block></script></block-definition><block-definition s="GridPadProperty %&apos;key&apos; of %&apos;sprite&apos;" type="reporter" category="9. GridPad for grid operations"><comment x="0" y="0" w="95" collapsed="false">Reads the value of an existing property.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">typeOfConfiguration<options>typeOfConfiguration&#xD;typeOfData&#xD;costumeProperties={&#xD;width=costumeWidth&#xD;height=costumeHeight&#xD;back color=backColor&#xD;offsets=offsets&#xD;front color=frontColor&#xD;}&#xD;text properties={&#xD;text height=textHeight&#xD;orientation=textOrientation&#xD;}&#xD;closebutton properties={&#xD;with closebutton?=withCloseButton&#xD;position=closeButtonLeft&#xD;size=closeButtonSize&#xD;}&#xD;grid properties={&#xD;number of grid columns=numberOfGridColumns&#xD;number of grid rows=numberOfGridRows&#xD;cell width=cellWidth&#xD;cell height=cellHeight&#xD;cell colors=cellColors&#xD;with grid lines=withGridLines&#xD;}</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad!</l><l>GridPadProperty of ...</l></custom-block></script><list></list></block><block s="doIfElse"><custom-block s="is variable %s in the scope of %s ?"><l>myProperties</l><block var="target"/></custom-block><script><block s="doReport"><block s="reportListItem"><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="key"/><l> </l></block></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: missing variable myProperties!</l><l>GridPadProperty of ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="set GridPad costume properties width: %&apos;width&apos; height: %&apos;height&apos; $nl back color: %&apos;color&apos; offsets: %&apos;leftOffset&apos; %&apos;upperOffset&apos; on %&apos;sprite&apos;" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="117.66039530436255" collapsed="false">a simple way to set some costume attributes:&#xD;1: width&#xD;2: height&#xD;3: back color red&#xD;4: back color green&#xD;5: back color blue&#xD;6: left offset for Image&#xD;    position on stage&#xD;7: upper offset for Image&#xD;    position on stage</comment><header></header><code></code><translations></translations><inputs><input type="%n">400</input><input type="%n">300</input><input type="%mult%s"></input><input type="%n">0</input><input type="%n">0</input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>set GridPad costume properties</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><custom-block s="set GridPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block s="reportAttributeOf"><l><option>width</option></l><l>Stage</l></block></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block s="reportAttributeOf"><l><option>height</option></l><l>Stage</l></block></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block></script><script><custom-block s="set GridPadProperty %txt of %txt to %s"><l>costumeWidth</l><block var="target"/><block var="width"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>costumeHeight</l><block var="target"/><block var="height"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>backColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>offsets</l><block var="target"/><block s="reportNewList"><list><block var="leftOffset"/><block var="upperOffset"/></list></block></custom-block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><custom-block s="new costume size: %n %n %s"><custom-block s="GridPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><custom-block s="GridPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><custom-block s="GridPadProperty %txt of %txt"><l>backColor</l><block var="target"/></custom-block></custom-block></block></script><list></list></block><list></list></block><custom-block s="adjust close-button of %s"><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="set GridPad line properties style: %&apos;style&apos; $nl width: %&apos;lineWidth&apos; color: %&apos;color&apos; fill color: %&apos;fillColor&apos; on %&apos;sprite&apos;" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="105.68386840820362" collapsed="false">a simple way to set some net attributes:&#xD;line properties:&#xD;1: line style&#xD;2: lineWidth&#xD;3: line color &#xD;4: fill color</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true">continuous<options>continuous&#xD;dashed&#xD;dash-dot&#xD;dot-dot</options></input><input type="%n">1</input><input type="%mult%s"></input><input type="%mult%s"></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as ImagePad</l><l>set ImagePad line properties</l></custom-block></script><list></list></block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>lineWidth</l><block var="target"/><block var="lineWidth"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>lineStyle</l><block var="target"/><block var="style"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>lineColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="color"/></custom-block></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>fillColor</l><block var="target"/><custom-block s="variadic color %mult%s $arrowRightOutline RGB(A)-value"><block var="fillColor"/></custom-block></custom-block></script></block></script></block-definition><block-definition s="set GridPad grid properties on %&apos;sprite&apos; $nl horizontal cells: %&apos;hNumber&apos; vertical cells: %&apos;vNumber&apos; $nl initial cell colornumber: %&apos;cellcolor&apos; with grid lines? %&apos;withLines&apos;" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="140.9937286376957" collapsed="false">a simple way to set some grid attributes:&#xD;1: number of horizontal cells&#xD;2: number of vertical cells&#xD;3: cell width&#xD;4: cell height&#xD;&#xD;grid data are stored in myData</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">40</input><input type="%n">30</input><input type="%n">11</input><input type="%b">true</input></inputs><script><block s="doWarp"><script><block s="doDeclareVariables"><list><l>target</l><l>wh</l><l>ws</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>set GridPad grid properties</l></custom-block></script><list></list></block><block s="doSetVar"><l>wh</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><custom-block s="GridPadProperty %txt of %txt"><l>costumeWidth</l><block var="target"/></custom-block><block var="hNumber"/></block></block></block><block s="doSetVar"><l>ws</l><block s="reportMonadic"><l><option>floor</option></l><block s="reportQuotient"><custom-block s="GridPadProperty %txt of %txt"><l>costumeHeight</l><block var="target"/></custom-block><block var="vNumber"/></block></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="wh"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="ws"/><l>1</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: cell size is too small!</l><l>set GridPad grid properties</l></custom-block></script><list></list></block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>numberOfGridRows</l><block var="target"/><block var="vNumber"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>numberOfGridColumns</l><block var="target"/><block var="hNumber"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>cellWidth</l><block var="target"/><block var="ws"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>cellHeight</l><block var="target"/><block var="wh"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>cellHeight</l><block var="target"/><block var="wh"/></custom-block><custom-block s="set GridPadProperty %txt of %txt to %s"><l>withGridLines</l><block var="target"/><block var="withLines"/></custom-block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><custom-block s="%n x %n table %br initialized with %s"><block var="hNumber"/><block var="vNumber"/><block var="cellcolor"/></custom-block></custom-block><custom-block s="add grid %s on %s"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="target"/></custom-block></script></block></script></block></script></block-definition><block-definition s="add grid %&apos;theGrid&apos; on %&apos;sprite&apos;" type="command" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="163.00000000000003" collapsed="false">Draws a grid on an GridPad.</comment><header></header><code></code><translations></translations><inputs><input type="%s">myData</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>data</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>add grid</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="theGrid"/><l>myData</l></list></block><script><block s="doSetVar"><l>data</l><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></script><script><block s="doSetVar"><l>data</l><block var="theGrid"/></block></script></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="data"/><l>matrix</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrix data required!</l><l>add grid</l></custom-block></script><list></list></block><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><l>thisSprite</l></custom-block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="data"/></block></block></list></block><block s="reportVariadicEquals"><list><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><l>thisSprite</l></custom-block><block s="reportListAttribute"><l><option>length</option></l><block var="data"/></block></list></block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: wrong grid dimensions!</l><l>add grid</l></custom-block></script><list></list></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportApplyExtension"><l>SciS_addGridToGridPad(costume,properties,withLines,data)</l><list><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><custom-block s="GridPadProperty %txt of %txt"><l>withGridLines</l><block var="target"/></custom-block><block var="data"/></list></block></list></block></script></block></script></block-definition><block-definition s="fill cells on %&apos;sprite&apos; range x: %&apos;xmin&apos; %&apos;xmax&apos; y: %&apos;ymin&apos; %&apos;ymax&apos; $nl randomly with color numbers %&apos;numbers&apos;" type="command" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="281" collapsed="false">Fills a grid or a part of a grid with one of the specified values.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">1</input><input type="%s">xMax</input><input type="%n">1</input><input type="%s">yMax</input><input type="%mult%n"></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>fill cells on ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="xmax"/><l>xMax</l></list></block><script><block s="doSetVar"><l>xmax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="ymax"/><l>yMax</l></list></block><script><block s="doSetVar"><l>ymax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></block></script><list></list></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block var="target"/><block s="reportApplyExtension"><l>SciS_fillOnGridPadGridRandomlyOnImagePad(xMin,xMax,yMin,yMax,numbers,data)</l><list><block var="xmin"/><block var="xmax"/><block var="ymin"/><block var="ymax"/><block var="numbers"/><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></list></block></custom-block></script></block><custom-block s="add grid %s on %s"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="target"/></custom-block></script></block-definition><block-definition s="set cell value on %&apos;sprite&apos; to %&apos;value&apos; by mouse" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="145.83333333333334" collapsed="false">sets the value of a grid cell</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>targetCostume</l><l>targetCostumeWidth</l><l>targetCostumeHeight</l><l>targetXPosition</l><l>targetYPosition</l><l>targetSize</l><l>x</l><l>y</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad!</l><l>set cell value by mouse</l></custom-block></script><list></list></block><block s="doSetVar"><l>targetCostume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>targetCostumeWidth</l><block s="reportGetImageAttribute"><l><option>width</option></l><block var="targetCostume"/></block></block><block s="doSetVar"><l>targetCostumeHeight</l><block s="reportGetImageAttribute"><l><option>height</option></l><block var="targetCostume"/></block></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doSetVar"><l>targetXPosition</l><block s="reportMonadic"><l><option>neg</option></l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></block></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></block></block><block s="doSetVar"><l>targetSize</l><l>100</l></block><block s="doSetVar"><l>x</l><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block></block></script><script><block s="doSetVar"><l>targetXPosition</l><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetSize</l><block s="reportAttributeOf"><l><option>size</option></l><block var="target"/></block></block><block s="doSetVar"><l>x</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></list></block><l>1</l></list></block></block></block></script></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicAnd"><list><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReplaceInList"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block var="x"/><custom-block s="GridPadProperty %txt of %txt"><l>cellWidth</l><block var="target"/></custom-block></block></block><block s="reportListItem"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block var="y"/><custom-block s="GridPadProperty %txt of %txt"><l>cellHeight</l><block var="target"/></custom-block></block></block><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><block var="value"/></block></script><list></list></block><custom-block s="add grid %s on %s"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="target"/></custom-block></script></block></script></block-definition><block-definition s="%&apos;selection&apos; on %&apos;sprite&apos; by mouse" type="reporter" category="9. GridPad for grid operations"><comment x="0" y="0" w="168.33333333333334" collapsed="false">Obtaining data with the mouse from a grid stored in myData.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">cellValue<options>cell value=cellValue&#xD;cell coodinates=cellCoordinates&#xD;costume coordinates=costumeCoordinates</options></input><input type="%txt">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>x</l><l>y</l><l>target</l><l>targetCostume</l><l>targetCostumeWidth</l><l>targetCostumeHeight</l><l>targetXPosition</l><l>targetYPosition</l><l>targetSize</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad!</l><l>cellValue/... by mouse</l></custom-block></script><list></list></block><block s="doSetVar"><l>selection</l><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="selection"/><l> </l></block></block></block><block s="doSetVar"><l>targetCostume</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costume</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>targetCostumeWidth</l><block s="reportGetImageAttribute"><l><option>width</option></l><block var="targetCostume"/></block></block><block s="doSetVar"><l>targetCostumeHeight</l><block s="reportGetImageAttribute"><l><option>height</option></l><block var="targetCostume"/></block></block><block s="doIfElse"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block><script><block s="doSetVar"><l>targetXPosition</l><block s="reportMonadic"><l><option>neg</option></l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></block></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportRound"><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></block></block><block s="doSetVar"><l>targetSize</l><l>100</l></block><block s="doSetVar"><l>x</l><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block></block><block s="doSetVar"><l>y</l><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block></block></script><script><block s="doSetVar"><l>targetXPosition</l><block s="reportAttributeOf"><l><option>x position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetYPosition</l><block s="reportAttributeOf"><l><option>y position</option></l><block var="target"/></block></block><block s="doSetVar"><l>targetSize</l><block s="reportAttributeOf"><l><option>size</option></l><block var="target"/></block></block><block s="doSetVar"><l>x</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block s="reportMouseX"></block><block var="targetXPosition"/></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeWidth"/><l>2</l></block></list></block><l>1</l></list></block></block></block><block s="doSetVar"><l>y</l><block s="reportRound"><block s="reportVariadicSum"><list><block s="reportVariadicSum"><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block s="reportDifference"><block var="targetYPosition"/><block s="reportMouseY"></block></block><block var="targetSize"/></block></list></block><block s="reportQuotient"><block var="targetCostumeHeight"/><l>2</l></block></list></block><l>1</l></list></block></block></block></script></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>costumeCoordinates</l></list><comment w="121.68283420138891" collapsed="false">costume coordinates.</comment></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block var="x"/><block var="y"/></list></block></block></script></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>cellCoordinates</l></list></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportNewList"><list><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="x"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></list></block><block var="targetCostumeWidth"/></block></block><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="y"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></list></block><block var="targetCostumeHeight"/></block></block></list></block></block></script></block></script><list></list><comment w="90" collapsed="false">coordinates of a grid cell</comment></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>cellValue</l></list></block><script><block s="doIfElse"><block s="reportVariadicOr"><list><block s="reportVariadicOr"><list><block s="reportVariadicGreaterThan"><list><block var="x"/><block var="targetCostumeWidth"/></list></block><block s="reportVariadicGreaterThan"><list><block var="y"/><block var="targetCostumeHeight"/></list></block></list></block><block s="reportVariadicOr"><list><block s="reportVariadicLessThan"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicLessThan"><list><block var="y"/><l>1</l></list></block></list></block></list></block><script><block s="doReport"><block s="reportNewList"><list></list></block></block></script><script><block s="doReport"><block s="reportListItem"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="x"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></list></block><block var="targetCostumeWidth"/></block></block><block s="reportListItem"><block s="reportMonadic"><l><option>ceiling</option></l><block s="reportQuotient"><block s="reportVariadicProduct"><list><block var="y"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></list></block><block var="targetCostumeHeight"/></block></block><block var="myData"/></block></block></block></script></block></script><list></list><comment w="90" collapsed="false">value of a grid cell</comment></block></script></block></script></block-definition><block-definition s="set cell value on %&apos;sprite&apos; at %&apos;x&apos; %&apos;y&apos; to %&apos;value&apos; $nl with grid lines? %&apos;withLines&apos;" type="command" category="9. GridPad for grid operations"><comment x="0" y="0" w="227" collapsed="false">Sets the value of a grid cell an shows the result.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">1</input><input type="%n">1</input><input type="%n">2</input><input type="%b">true</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>set cell value at ... to ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block var="y"/><l>1</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></list></block></list></block><script><block s="doReplaceInList"><block var="x"/><block s="reportListItem"><block var="y"/><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block><block var="value"/></block><custom-block s="add grid %s on %s"><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="target"/></custom-block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: indices out of bounds!</l><l>set cell value at ... to ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="cell value on %&apos;sprite&apos; at %&apos;x&apos; %&apos;y&apos;" type="reporter" category="9. GridPad for grid operations"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%n">1</input><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l> cell value at ...</l></custom-block></script><list></list></block><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="x"/><l>1</l></list></block><block s="reportVariadicGreaterThanOrEquals"><list><block var="y"/><l>1</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="x"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="y"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></list></block></list></block><script><block s="doReport"><block s="reportListItem"><block var="x"/><block s="reportListItem"><block var="y"/><block s="reportAttributeOf"><l>myData</l><block var="target"/></block></block></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: indices out of bounds!</l><l>set cell value at ... to ...</l></custom-block></script></block></script></block></script></block-definition><block-definition s="%&apos;typeOfNeighborhood&apos; -neighborhood as torus? %&apos;asTorus&apos; of %&apos;x&apos; %&apos;y&apos; $nl on %&apos;sprite&apos;" type="reporter" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="165.83333333333334" collapsed="false">Reports the Moore- or v.-Neumann-neighborhood of a cell. &#xD;Order: north,east,south,west</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">Moore<options>Moore&#xD;vonNeumann</options></input><input type="%b">false</input><input type="%n">1</input><input type="%n">1</input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>... neighborhood of ...</l></custom-block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_neighborhoodInGridOnImagePad(data,properties,x,y,isTorus,typeOfNeighborhood)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block s="reportAttributeOf"><l>myProperties</l><block var="target"/></block><block var="x"/><block var="y"/><block var="asTorus"/><block var="typeOfNeighborhood"/></list></block></block></script></block-definition><block-definition s="all cells on %&apos;sprite&apos; as torus? %&apos;isTorus&apos; swapped %&apos;n&apos; times $nl randomly inside radius %&apos;range&apos; range x: %&apos;xmin&apos; %&apos;xmax&apos; y: %&apos;ymin&apos; %&apos;ymax&apos;" type="reporter" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="194.99999999999977" collapsed="false">Swaps the cell values of a grid randomly.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input><input type="%n">1</input><input type="%n">1</input><input type="%n">1</input><input type="%s">xMax</input><input type="%n">1</input><input type="%s">yMax</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>all cells ... swapped ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="xmax"/><l>xMax</l></list></block><script><block s="doSetVar"><l>xmax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="ymax"/><l>yMax</l></list></block><script><block s="doSetVar"><l>ymax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="xmin"/><l>1</l></list></block><script><block s="doSetVar"><l>xmin</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="xmax"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></list></block><script><block s="doSetVar"><l>xmax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicLessThan"><list><block var="ymin"/><l>1</l></list></block><script><block s="doSetVar"><l>ymin</l><l>1</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="ymax"/><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></list></block><script><block s="doSetVar"><l>ymax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_swapCellsOfGridOnGridPad(data,n,isTorus,range,xMin,xMax,yMin,yMax)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="n"/><block var="isTorus"/><block s="reportMonadic"><l><option>abs</option></l><block var="range"/></block><block var="xmin"/><block var="xmax"/><block var="ymin"/><block var="ymax"/></list></block></block></script></block></script></block-definition><block-definition s="all cells on %&apos;sprite&apos; as torus? %&apos;isTorus&apos; with value %&apos;oldValue&apos; $nl take value %&apos;ifValue&apos; if number of surrounding value %&apos;surrValue&apos; is %&apos;operator&apos; %&apos;n&apos; $nl else take value %&apos;elseValue&apos; with noise? %&apos;withNoise&apos; of %&apos;noise&apos; % $nl range x: %&apos;xmin&apos; %&apos;xmax&apos; y: %&apos;ymin&apos; %&apos;ymax&apos;" type="reporter" category="9. GridPad for grid operations"><comment x="0" y="0" w="299" collapsed="false">Counts the surrounding values and changes it if necessary.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input><input type="%s">any<options>any</options></input><input type="%n">2</input><input type="%n">2</input><input type="%s" readonly="true">greater-than<options>greater-than&#xD;equal-to&#xD;smaller-than&#xD;different-from</options></input><input type="%n">4</input><input type="%n">1</input><input type="%b">false</input><input type="%n">5</input><input type="%n">1</input><input type="%s">xMax</input><input type="%n">1</input><input type="%s">yMax</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target isn&apos;t configured as GridPad</l><l>all cells ... with value ...</l></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="xmax"/><l>xMax</l></list></block><script><block s="doSetVar"><l>xmax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="ymax"/><l>yMax</l></list></block><script><block s="doSetVar"><l>ymax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_changeSurroundingValuesOfGridOnGridPad(data,ifValue,elseValue,surrValue,op,n,isTorus,withNoise,noise,xMin,xMax,yMin,yMax,oldValue)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block var="ifValue"/><block var="elseValue"/><block var="surrValue"/><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="operator"/><l> </l></block></block><block var="n"/><block var="isTorus"/><block var="withNoise"/><block var="noise"/><block var="xmin"/><block var="xmax"/><block var="ymin"/><block var="ymax"/><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="oldValue"/><l> </l></block></block></list></block></block></script></block></script></block-definition><block-definition s="all cells on %&apos;sprite&apos; as torus? %&apos;isTorus&apos; take %&apos;operation&apos; $nl of surrounding cells x: %&apos;xmin&apos; %&apos;xmax&apos; y: %&apos;ymin&apos; %&apos;ymax&apos; range: %&apos;range&apos;" type="reporter" category="9. GridPad for grid operations"><comment x="0" y="0" w="196.99999999999997" collapsed="false">Replaces the cell values of a grid depending on the features of the neighbors.</comment><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%b">true</input><input type="%s" readonly="true">sum<options>sum&#xD;min&#xD;max&#xD;mean</options></input><input type="%n">1</input><input type="%s">xMax</input><input type="%n">1</input><input type="%s">yMax</input><input type="%n">1</input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s a GridPad?"><block var="target"/></custom-block></block><script><block s="doReport"><l>ERROR: target isn&apos;t configured as GridPad</l></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="xmax"/><l>xMax</l></list></block><script><block s="doSetVar"><l>xmax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridColumns</l><block var="target"/></custom-block></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="ymax"/><l>yMax</l></list></block><script><block s="doSetVar"><l>ymax</l><custom-block s="GridPadProperty %txt of %txt"><l>numberOfGridRows</l><block var="target"/></custom-block></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_replaceValuesOfGridOnImagePad(data,operation,isTorus,xMin,xMax,yMin,yMax,range)</l><list><block s="reportAttributeOf"><l>myData</l><block var="target"/></block><block s="reportListItem"><l>1</l><block s="reportTextSplit"><block var="operation"/><l> </l></block></block><block var="isTorus"/><block var="xmin"/><block var="xmax"/><block var="ymin"/><block var="ymax"/><block s="reportMonadic"><l><option>abs</option></l><block var="range"/></block></list></block></block></script></block-definition><block-definition s="combine grid1 %&apos;grid1&apos; and grid2 %&apos;grid2&apos; by value1= %&apos;value1&apos; %&apos;operator&apos; value2= %&apos;value2&apos; $nl to %&apos;ifValue&apos; else %&apos;elseValue&apos;" type="reporter" category="9. GridPad for grid operations"><comment x="0" y="0" w="113" collapsed="false">Combines two grids.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input><input type="%n">1</input><input type="%s" readonly="true">or<options>and&#xD;or&#xD;xor&#xD;not-and&#xD;not-or&#xD;not-xor&#xD;minus</options></input><input type="%n">2</input><input type="%n">1</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>xMax</l><l>yMax</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportVariadicAnd"><list><custom-block s="is %s a %txt"><block var="grid1"/><l>matrix</l></custom-block><custom-block s="is %s a %txt"><block var="grid2"/><l>matrix</l></custom-block></list></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: matrices required!</l><l>combine grids ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>xMax</l><block s="reportIfElse"><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="grid1"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="grid2"/></block></block></list></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="grid1"/></block></block><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="grid2"/></block></block></block></block><block s="doSetVar"><l>yMax</l><block s="reportIfElse"><block s="reportVariadicGreaterThanOrEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="grid1"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="grid2"/></block></list></block><block s="reportListAttribute"><l><option>length</option></l><block var="grid1"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="grid2"/></block></block></block></script></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_combineGridsOnGridPad(grid1,grid2,value1,operator,value2,ifValue,elseValue,xMax,yMax)</l><list><block var="grid1"/><block var="grid2"/><block var="value1"/><block var="operator"/><block var="value2"/><block var="ifValue"/><block var="elseValue"/><block var="xMax"/><block var="yMax"/></list></block></block></script></block-definition><block-definition s="Example: plot of mixed data" type="command" category="5. PlotPad for data plots"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %txt as a PlotPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>true</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doSetVar"><l>myData</l><custom-block s="empty table"></custom-block></block><custom-block s="add %s %s to %s"><l>row</l><block s="reportNewList"><list><l>Meier</l><l>5</l></list></block><block var="myData"/></custom-block><custom-block s="add %s %s to %s"><l>row</l><block s="reportNewList"><list><l>Miller</l><l>7</l></list></block><block var="myData"/></custom-block><custom-block s="add %s %s to %s"><l>row</l><block s="reportNewList"><list><l>Hansen</l><l>3</l></list></block><block var="myData"/></custom-block><custom-block s="set PlotPad labels on %s to %br title: %txt titleheight: %n %br x-label: %txt xLabelheight: %n %br y-label: %txt yLabelheight: %n"><l>thisSprite</l><l>Plot of mixed data</l><l>18</l><l> Meier                    Miller                    Hansen </l><l>16</l><l>sales</l><l>16</l></custom-block><custom-block s="add dataplot of mixed data: %s %br y-scale? %b x-scale? %b to PlotPad %txt"><l>myData</l><l><bool>true</bool></l><l><bool>false</bool></l><l>thisSprite</l></custom-block><custom-block s="add axes and scales to PlotPad %txt"><l>thisSprite</l></custom-block></script></block-definition><block-definition s="set %&apos;sprite&apos; to full size, bounded by $nl left %&apos;left&apos; right %&apos;right&apos; top %&apos;top&apos; bottom %&apos;bottom&apos;" type="command" category="looks" space="true"><comment x="0" y="0" w="122.40000000000002" collapsed="false">Sets the size of a sprite so that it fits into the specified stage area.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">thisSprite<options>thisSprite&#xD;anotherSprite</options></input><input type="%n">-200</input><input type="%n">200</input><input type="%n">200</input><input type="%n">-200</input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>spriteWidth</l><l>spriteHeight</l><l>windowWidth</l><l>windowHeight</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="setScale"><l>100</l></block></script><list></list></block><list></list></block><block s="doSetVar"><l>spriteWidth</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>spriteHeight</l><block s="reportAskFor"><block var="target"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>height</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doSetVar"><l>windowWidth</l><block s="reportRound"><block s="reportDifference"><block var="right"/><block var="left"/></block></block></block><block s="doSetVar"><l>windowHeight</l><block s="reportRound"><block s="reportDifference"><block var="top"/><block var="bottom"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportVariadicIsIdentical"><list><block var="target"/><block s="reportObject"><l>Stage</l></block></list></block></block><script><block s="doIfElse"><block s="reportVariadicGreaterThan"><list><block s="reportQuotient"><block var="spriteWidth"/><block var="windowWidth"/></block><block s="reportQuotient"><block var="spriteHeight"/><block var="windowHeight"/></block></list></block><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="setScale"><l></l></block></script><list></list></block><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block var="windowWidth"/><block var="spriteWidth"/></block></list></block></list></block></script><script><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="setScale"><l></l></block></script><list></list></block><list><block s="reportVariadicProduct"><list><l>100</l><block s="reportQuotient"><block var="windowHeight"/><block var="spriteHeight"/></block></list></block></list></block></script></block><block s="doTellTo"><block var="target"/><block s="reifyScript"><script><block s="gotoXY"><block s="reportRound"><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="right"/><block var="left"/></list></block><l>2</l></block></block><block s="reportRound"><block s="reportQuotient"><block s="reportVariadicSum"><list><block var="top"/><block var="bottom"/></list></block><l>2</l></block></block></block></script><list></list></block><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="convert %&apos;position&apos; on %&apos;sprite&apos; to %&apos;choice&apos; - coordinates" type="reporter" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s" readonly="true">JavaScript<options>JavaScript&#xD;Snap!</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>theStage</l></list></block><block s="reportObject"><l>Stage</l></block><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block></block><block s="doIf"><block s="reportNot"><custom-block s="is %s an ImagePad?"><block var="target"/></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: target is not an ImagePad!</l><l>convert ... coordinates to ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>position</l><custom-block s="variadic position %mult%s $arrowRightOutline position"><block var="position"/></custom-block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="choice"/><l>JavaScript</l></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportDifference"><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></block></list></block></block></script><list></list></block><block s="doReport"><block s="reportNewList"><list><block s="reportVariadicSum"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportAttributeOf"><l><option>left</option></l><block var="target"/></block></list></block><block s="reportDifference"><block s="reportAttributeOf"><l><option>top</option></l><block var="target"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></block></list></block></block></script></block></script></block-definition><block-definition s="let part %&apos;sprite&apos; of the TheLineTool respond to %&apos;event&apos;" type="command" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input><input type="%s" readonly="true">receiveGo<options>receiveGo&#xD;receiveKey enter&#xD;receiveKey space&#xD;receiveKey +&#xD;receiveKey -&#xD;receiveKey up arrow&#xD;receiveKey down arrow&#xD;receiveKey left arrow&#xD;receiveKey right arrow&#xD;receiveInteraction clicked&#xD;receiveInteraction pressed&#xD;receiveInteraction mouse-entered&#xD;receiveInteraction mouse-departed&#xD;receiveInteraction scrolled up&#xD;receiveInteraction scrolleddown&#xD;receiveMessage</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>data</l><l>dist</l><l>slice</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>TheLineTool</l></block></list></block><script><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportNot"><block s="reportAttributeOf"><l>isMoving</l><l>LineEnd1</l></block></block><block s="reportNot"><block s="reportAttributeOf"><l>isMoving</l><l>LineEnd2</l></block></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction pressed</l></list></block><script><block s="doIfElse"><custom-block s="is key %n pressed?"><l>16</l></custom-block><script><custom-block s="update tool coordinates on %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><l>Data of TheLineTool</l></list></block></block><block s="doAddToList"><block s="reportJoinWords"><list><l>datetime: </l><custom-block s="datetime"></custom-block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>position of LineEnd1: </l><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd1</l></block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>position of LineEnd2: </l><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd2</l></block></list></block><block var="data"/></block><block s="doSetVar"><l>dist</l><block s="reportRound"><custom-block s="Euclidean distance between %br point %mult%s and point %mult%s"><list><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd1</l></block></list><list><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd2</l></block></list></custom-block></block></block><block s="doAddToList"><block s="reportNewList"><list><l>length: </l><block var="dist"/></list></block><block var="data"/></block><block s="doTellTo"><l>LineEnd1</l><block s="reifyScript"><script><block s="doFaceTowards"><l>LineEnd2</l></block></script><list></list></block><list></list></block><block s="doAddToList"><block s="reportNewList"><list><l>angle: </l><block s="reportAttributeOf"><l><option>direction</option></l><l>LineEnd1</l></block></list></block><block var="data"/></block><block s="doIfElse"><block s="reportVariadicLessThan"><list><block var="dist"/><l>2</l></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: points are too close together!</l><l>let sprite respond to event</l></custom-block></script><script><block s="doSetVar"><l>slice</l><block s="reportApplyExtension"><l>SciS_collectSliceData(p1,p2,dist,imageData,width,height,imageType)</l><list><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd1</l></block><block s="reportAttributeOf"><l>myImagePosition</l><l>LineEnd2</l></block><block var="dist"/><block s="reportAttributeOf"><l>myData</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></block></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageType</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></block></custom-block></list></block></block><block s="doAddToList"><block s="reportNewList"><list><l>slice: </l><block var="slice"/></list></block><block var="data"/></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block><block var="data"/></custom-block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="doSayFor"><l>Slice data are stored in myData of the window.</l><l>2</l></block></script><list></list></block><list></list></block></script></block></script><script><custom-block s="attach part %s to sprite %s"><block s="reportObject"><l>LineEnd1</l></block><block s="reportObject"><l>TheLineTool</l></block></custom-block><custom-block s="attach part %s to sprite %s"><block s="reportObject"><l>LineEnd2</l></block><block s="reportObject"><l>TheLineTool</l></block></custom-block><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>TheLineTool</l><block s="reportBoolean"><l><bool>true</bool></l></block></custom-block><custom-block s="update window %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script></block></script><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction mouse-departed</l></list></block><block s="reportAttributeOf"><l>isMoving</l><l>TheLineTool</l></block></list></block><script><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>TheLineTool</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="detach all parts from %s"><block s="reportObject"><l>TheLineTool</l></block></custom-block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script></list></block><custom-block s="select sprite %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>LineEnd1</l></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction pressed</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd1</l><block s="reportBoolean"><l><bool>true</bool></l></block></custom-block><custom-block s="update window %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction mouse-departed</l></list></block><block s="reportAttributeOf"><l>isMoving</l><l>LineEnd1</l></block></list></block><script><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd1</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="update tool coordinates on %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script></list></block><custom-block s="select sprite %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="target"/><block s="reportObject"><l>LineEnd2</l></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction pressed</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd2</l><block s="reportBoolean"><l><bool>true</bool></l></block></custom-block><custom-block s="update window %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction mouse-departed</l></list></block><block s="reportAttributeOf"><l>isMoving</l><l>LineEnd2</l></block></list></block><script><custom-block s="set %txt of %txt to %s"><l>isMoving</l><l>LineEnd2</l><block s="reportBoolean"><l><bool>false</bool></l></block></custom-block><custom-block s="update tool coordinates on %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block><custom-block s="%txt %txt of window %s"><l>show</l><l>TheLineTool</l><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script></list></block><custom-block s="select sprite %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheLineTool</l></block></custom-block></script><list></list></block></script></block></script><scripts><script x="55.66666666666659" y="2780.0000000000005"><custom-block s="update tool positions on %s"><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block></custom-block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><l>Data of TheSquareTool</l></list></block></block><block s="doAddToList"><block s="reportJoinWords"><list><l>datetime: </l><custom-block s="datetime"></custom-block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>position of TheSquareTool: </l><block s="reportAttributeOf"><l>myImagePosition</l><l>TheSquareTool</l></block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>current width of TheSquareTool: </l><block s="reportAttributeOf"><l><option>width</option></l><l>TheSquareTool</l></block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>brightness: </l><block s="reportApplyExtension"><l>SciS_brightness(data,xpos,ypos,r,width,height,typeOfData,typeOfArea)</l><list><block s="reportAttributeOf"><l>myData</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block></block></block><block s="reportListItem"><l>1</l><block s="reportAttributeOf"><l>myImagePosition</l><l>TheSquareTool</l></block></block><block s="reportListItem"><l>2</l><block s="reportAttributeOf"><l>myImagePosition</l><l>TheSquareTool</l></block></block><block s="reportQuotient"><block s="reportAttributeOf"><l><option>width</option></l><l>TheSquareTool</l></block><l>2</l></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageType</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block></block></custom-block><l>square</l></list></block></list></block><block var="data"/></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block s="reportAttributeOf"><l>myWindow</l><l>TheSquareTool</l></block><block var="data"/></custom-block></script><script x="429.3333333333332" y="2579.8611111111118"><block s="doIf"><block s="reportVariadicAnd"><list><l/><l/></list></block><script><block s="doTellTo"><l>TheSquareTool</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicLessThan"><list><l></l><l>300</l></list></block><script><block s="changeScale"><l>10</l></block></script><list></list></block></script><list></list></block><list><block s="reportAttributeOf"><l><option>size</option></l><l>TheSquareTool</l></block></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction scrolleddown</l></list></block><script><block s="doTellTo"><l>TheSquareTool</l><block s="reifyScript"><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><l></l><l>20</l></list></block><script><block s="changeScale"><l>-10</l></block></script><list></list></block></script><list></list></block><list><block s="reportAttributeOf"><l><option>size</option></l><l>TheSquareTool</l></block></list></block></script><list></list></block></script></scripts></block-definition><block-definition s="let SquareTool %&apos;tool&apos; respond to %&apos;event&apos;" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s" readonly="true">receiveGo<options>receiveGo&#xD;receiveKey enter&#xD;receiveKey space&#xD;receiveKey +&#xD;receiveKey -&#xD;receiveKey up arrow&#xD;receiveKey down arrow&#xD;receiveKey left arrow&#xD;receiveKey right arrow&#xD;receiveInteraction clicked&#xD;receiveInteraction pressed&#xD;receiveInteraction mouse-entered&#xD;receiveInteraction mouse-departed&#xD;receiveInteraction scrolled up&#xD;receiveInteraction scrolleddown&#xD;receiveMessage&#xD;getData</options></input></inputs><script><block s="doDeclareVariables"><list><l>data</l><l>size/5</l><l>result</l><l>size</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportIsA"><block var="tool"/><l><option>sprite</option></l></block><script><block s="doSetVar"><l>size</l><block s="reportAskFor"><block var="tool"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction pressed</l></list></block><block s="reportVariadicEquals"><list><block var="event"/><l>getData</l></list></block></list></block><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction pressed</l></list></block><script><custom-block s="set %txt of %txt to %s"><l>isActive</l><block var="tool"/><block s="reportNot"><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></block></custom-block></script><list></list></block><block s="doSetVar"><l>size/5</l><block s="reportQuotient"><block var="size"/><l>5</l></block></block><block s="doIfElse"><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>squareTool</l><custom-block s="%s as %txt"><l>green</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block></list></block></script><script><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>squareTool</l><custom-block s="%s as %txt"><l>orange</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block></list></block></script></block><block s="doIf"><block s="reportVariadicOr"><list><custom-block s="is key %n pressed?"><l>16</l></custom-block><block s="reportVariadicEquals"><list><block var="event"/><l>getData</l></list></block></list></block><script><custom-block s="update tool coordinates on %s"><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></custom-block><block s="doSetVar"><l>data</l><block s="reportNewList"><list><block s="reportJoinWords"><list><l>Data of </l><block s="reportAskFor"><block var="tool"/><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>name</option></l></block></autolambda><list></list></block><list></list></block><l>: </l></list></block></list></block></block><block s="doAddToList"><block s="reportNewList"><list><l>datetime: </l><custom-block s="datetime"></custom-block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>position: </l><block s="reportAttributeOf"><l>myImagePosition</l><block var="tool"/></block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>current width: </l><block s="reportAttributeOf"><l><option>width</option></l><block var="tool"/></block></list></block><block var="data"/></block><block s="doAddToList"><block s="reportNewList"><list><l>brightness: </l><block s="reportApplyExtension"><l>SciS_brightness(data,xpos,ypos,r,width,height,typeOfData,typeOfArea)</l><list><block s="reportAttributeOf"><l>myData</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></block></block><block s="reportListItem"><l>1</l><block s="reportAttributeOf"><l>myImagePosition</l><block var="tool"/></block></block><block s="reportListItem"><l>2</l><block s="reportAttributeOf"><l>myImagePosition</l><block var="tool"/></block></block><block s="reportVariadicProduct"><list><block s="reportMonadic"><l><option>sqrt</option></l><l>2</l></block><block s="reportQuotient"><block s="reportVariadicProduct"><list><l>2</l><block s="reportAskFor"><block var="tool"/><block s="reifyReporter"><autolambda><block s="reportGetImageAttribute"><l><option>width</option></l><l><option>current</option></l></block></autolambda><list></list></block><list></list></block></list></block><l>5</l></block></list></block><custom-block s="ImagePadProperty %txt of %txt"><l>imageWidth</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageHeight</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></block></custom-block><custom-block s="ImagePadProperty %txt of %txt"><l>imageType</l><block s="reportAttributeOf"><l>currentImage</l><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></block></custom-block><l>circle</l></list></block></list></block><block var="data"/></block><custom-block s="set %txt of %txt to %s"><l>myData</l><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block><block var="data"/></custom-block><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="doSayFor"><l>Brightness data are stored in myData of the window.</l><l>3</l></block></script><list></list></block><list></list></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="event"/><l>receiveInteraction mouse-departed</l></list></block><script><custom-block s="update tool coordinates on %s"><block s="reportAttributeOf"><l>myWindow</l><block var="tool"/></block></custom-block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey +</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doIf"><block s="reportVariadicLessThanOrEquals"><list><block var="size"/><l>190</l></list></block><script><block s="doChangeVar"><l>size</l><l>10</l></block><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>squareTool</l><custom-block s="%s as %txt"><l>green</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block></list></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey -</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doIf"><block s="reportVariadicGreaterThanOrEquals"><list><block var="size"/><l>30</l></list></block><script><block s="doChangeVar"><l>size</l><l>-10</l></block><block s="doTellTo"><block var="tool"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><block s="reportNewCostume"><block s="reportApplyExtension"><l>SciS_changeToolCostume(size,tool,color)</l><list><block var="size"/><l>squareTool</l><custom-block s="%s as %txt"><l>green</l><l>RGB-value</l></custom-block></list></block><block var="size"/><block var="size"/></block></list></block></script><list></list></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey left arrow</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doGotoObject"><block s="reportVariadicSum"><list><block s="getPosition"></block><block s="reportNewList"><list><l>-1</l><l>0</l></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey right arrow</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doGotoObject"><block s="reportVariadicSum"><list><block s="getPosition"></block><block s="reportNewList"><list><l>1</l><l>0</l></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey up arrow</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doGotoObject"><block s="reportVariadicSum"><list><block s="getPosition"></block><block s="reportNewList"><list><l>0</l><l>1</l></list></block></list></block></block></script><list></list></block><block s="doIf"><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block var="event"/><l>receiveKey down arrow</l></list></block><block s="reportAttributeOf"><l>isActive</l><block var="tool"/></block></list></block><script><block s="doGotoObject"><block s="reportVariadicSum"><list><block s="getPosition"></block><block s="reportNewList"><list><l>0</l><l>-1</l></list></block></list></block></block></script><list></list></block></script><list></list></block></script></block></script></block-definition><block-definition s="Example: Use of a window to an image" type="command" category="6. ImagePad for image operations" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>theImage</l><l>theWindow</l></list></block><block s="doSetVar"><l>theImage</l><block s="newClone"><l><option>myself</option></l></block></block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><block var="theImage"/><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doTellTo"><block var="theImage"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l>0</l><l>0</l></block></script><list></list></block><list><block s="reportListItem"><l>20</l><block s="reportGet"><l><option>costumes</option></l></block></block></list></block><block s="doSetVar"><l>theWindow</l><block s="newClone"><l><option>myself</option></l></block></block><custom-block s="configure %txt as a window to ImagePad %s"><block var="theWindow"/><block var="theImage"/></custom-block><block s="doRepeat"><l>3</l><script><custom-block s="magnify or shrink image on window %s by %n %"><block var="theWindow"/><l>10</l></custom-block><block s="doWait"><l>1</l></block></script></block><block s="doRepeat"><l>3</l><script><custom-block s="move image of window %s by %n %n"><block var="theWindow"/><l>20</l><l>20</l></custom-block><block s="doWait"><l>1</l></block></script></block></script></block-definition><block-definition s="Example: get line data with the LineTool" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>theImage</l><l>theWindow</l></list></block><block s="doSetVar"><l>theImage</l><block s="newClone"><l><option>myself</option></l></block></block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><block var="theImage"/><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doTellTo"><block var="theImage"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l>0</l><l>0</l></block></script><list></list></block><list><block s="reportListItem"><l>20</l><block s="reportGet"><l><option>costumes</option></l></block></block></list></block><block s="doSetVar"><l>theWindow</l><block s="newClone"><l><option>myself</option></l></block></block><custom-block s="configure %txt as a window to ImagePad %s"><block var="theWindow"/><block var="theImage"/></custom-block><custom-block s="%txt %txt - tool for window %s size %n"><l>remove</l><l>line</l><block var="theWindow"/><l>15</l></custom-block><custom-block s="%txt %txt - tool for window %s size %n"><l>create</l><l>line</l><block var="theWindow"/><l>15</l></custom-block><block s="doTellTo"><l>TheLineTool</l><block s="reifyScript"><script><block s="bubble"><l>Move the LineTool or its ends with the mouse. Shift-click on the yellow LineTool to get data.</l></block></script><list></list></block><list></list></block></script></block-definition><block-definition s="Example: get brightness data with SquareTools" type="command" category="6. ImagePad for image operations"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>theImage</l><l>theWindow</l></list></block><block s="doSwitchToCostume"><l>HilbertoLeft</l></block><block s="bubble"><l></l></block><block s="doSetVar"><l>theImage</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>TheImage</l></custom-block></block><custom-block s="configure %s as an ImagePad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><block var="theImage"/><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><block s="doTellTo"><block var="theImage"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l>0</l><l>0</l></block></script><list></list></block><list><block s="reportListItem"><l>20</l><block s="reportGet"><l><option>costumes</option></l></block></block></list></block><block s="doSetVar"><l>theWindow</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>TheWindow</l></custom-block></block><custom-block s="configure %txt as a window to ImagePad %s"><block var="theWindow"/><block var="theImage"/></custom-block><block s="doTellTo"><block var="theImage"/><block s="reifyScript"><script><custom-block s="import image data from %s %br to myData of %s and set properties"><l>currentCostume</l><block var="theImage"/></custom-block></script><list></list></block><list></list></block><block s="gotoXY"><l>-200</l><l>150</l></block><block s="goToLayer"><l><option>front</option></l></block><block s="bubble"><l>Activate SquareTools by mouseclick, enlarge or reduce activated SquareTools by +/- keys, move them by arrow keys. Get data by shift-click on a SquareTool.</l></block><custom-block s="%txt %txt - tool for window %s size %n"><l>create</l><l>a square</l><l>TheWindow</l><l>50</l></custom-block><block s="doTellTo"><block s="reportListItem"><l>1</l><custom-block s="get %txt of sprite %s"><l>mySquareTools</l><block var="theWindow"/></custom-block></block><block s="reifyScript"><script><block s="gotoXY"><l>0</l><l>0</l></block></script><list></list></block><list></list></block><custom-block s="%txt %txt - tool for window %s size %n"><l>create</l><l>a square</l><l>TheWindow</l><l>50</l></custom-block><custom-block s="%txt %txt - tool for window %s size %n"><l>create</l><l>a square</l><l>TheWindow</l><l>50</l></custom-block></script></block-definition><block-definition s="Example: graphical noise" type="command" category="looks" space="true"><comment x="0" y="0" w="172.8603515625" collapsed="false">Random graphic, inspired by &quot;Merzbild 1a - the psychiatrist&quot; &#xD;painted by Kurt Schwitters.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>stamp</l></list></block><custom-block s="start SciSnap! stage: %n X %n"><l>800</l><l>600</l></custom-block><block s="hide"></block><custom-block s="show global message title: %txt %br message: %txt"><l>headline</l><l>Load your favorite picture as a background for the stage! Then press the space bar. Stop image creation with mouseclick.</l></custom-block><block s="doWaitUntil"><block s="reportKeyPressed"><l><option>space</option></l></block></block><block s="doSetVar"><l>stamp</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>duplicate</l><l>thisSprite</l><l>Hilberto</l></custom-block></block><block s="doTellTo"><block var="stamp"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block></script><list></list></block><list><custom-block s="new costume size: %n %n %s"><block s="reportRandom"><l>20</l><l>50</l></block><block s="reportRandom"><l>20</l><l>50</l></block><l>lightGray</l></custom-block></list></block><block s="doUntil"><block s="reportMouseDown"></block><script><block s="doTellTo"><block var="stamp"/><block s="reifyScript"><script><block s="gotoXY"><block s="reportRandom"><l>-400</l><l>400</l></block><block s="reportRandom"><l>-300</l><l>300</l></block></block></script><list></list></block><list></list></block><block s="doTellTo"><l>Stage</l><block s="reifyScript"><script><block s="doPasteOn"><l></l></block></script><list></list></block><list><block var="stamp"/></list></block><block s="doTellTo"><block var="stamp"/><block s="reifyScript"><script><block s="turnLeft"><block s="reportRandom"><l>1</l><l>360</l></block></block><block s="forward"><block s="reportRandom"><l>5</l><l>20</l></block></block><block s="doPasteOn"><l>Stage</l></block></script><list></list></block><list></list></block></script></block><custom-block s="remove sprite %s"><block var="stamp"/></custom-block><block s="doSwitchToCostume"><l>HilbertoLeft</l></block><block s="gotoXY"><l>350</l><l>-250</l></block><block s="show"></block></script></block-definition><block-definition s="Example: create dynamically a new sprite $nl that responds to three events" type="command" category="0. My own blocks" space="true"><comment x="0" y="0" w="144.4999999999999" collapsed="false">The reaction of the sprite must be defined in the block &quot;let &lt;sprite&gt; respond to &lt;event&gt;&quot;.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doDeclareVariables"><list><l>newSprite</l></list></block><block s="doSetVar"><l>newSprite</l><custom-block s="create a %txt ( of %s ) %br with name %txt"><l>newSprite</l><l>thisSprite</l><l>TheNewSprite</l><comment w="90" collapsed="false">create a new sprite</comment></custom-block></block><block s="doTellTo"><block var="newSprite"/><block s="reifyScript"><script><block s="doSwitchToCostume"><l></l></block><block s="gotoXY"><l>0</l><l>0</l></block></script><list></list></block><list><block s="reportListItem"><l>5</l><block s="reportAskFor"><l>Hilberto</l><block s="reifyReporter"><autolambda><block s="reportGet"><l><option>costumes</option></l></block></autolambda><list></list></block><list></list></block></block></list><comment w="90" collapsed="false">choose costume</comment></block><custom-block s="install eventhandler %s for %s"><l>receiveKey +</l><block var="newSprite"/><comment w="119.189453125" collapsed="false">add three event handler</comment></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveKey -</l><block var="newSprite"/></custom-block><custom-block s="install eventhandler %s for %s"><l>receiveInteraction clicked</l><block var="newSprite"/></custom-block><block s="doTellTo"><block var="newSprite"/><block s="reifyScript"><script><block s="bubble"><l></l></block></script><list></list></block><list><l>Let me grow/shrink by pressing the +/- buttons or delete me by mouse click.</l></list><comment w="90" collapsed="false">choose costume</comment></block></script></block-definition><block-definition s="variadic position %&apos;position&apos; $arrowRightOutline position" type="reporter" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="126.00000000000011" collapsed="false">Converts a variadic position parameter into a position.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input></inputs><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="position"/></block><l>2</l></list></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="position"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="position"/></block><l><option>number</option></l></block></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="position"/></block><block s="reportListItem"><l>2</l><block var="position"/></block></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: position or two numbers expected!</l><l>variadic position --&gt; position</l></custom-block></script></block></script><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="position"/></block><l>1</l></list></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="position"/></block><l><option>list</option></l></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><block var="position"/></block></block><l>2</l></list></block><block s="reportIsA"><block s="reportListItem"><l>1</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block s="reportListItem"><l>1</l><block var="position"/></block></block><l><option>number</option></l></block></list></block><script><block s="doReport"><block s="reportListItem"><l>1</l><block var="position"/></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: position or two numbers expected!</l><l>variadic position --&gt; position</l></custom-block></script></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: position or two numbers expected!</l><l>variadic position --&gt; position</l></custom-block></script></block></script></block></script></block-definition><block-definition s="variadic color %&apos;color&apos; $arrowRightOutline RGB(A)-value" type="reporter" category="1. SciSnap! globals"><comment x="0" y="0" w="152.85714285714297" collapsed="false">Converts a variadic color parameter into a RGB(A)-value.</comment><header></header><code></code><translations></translations><inputs><input type="%mult%s"></input></inputs><script><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>3</l></list></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="color"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="color"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="color"/></block><l><option>number</option></l></block></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="color"/></block><block s="reportListItem"><l>2</l><block var="color"/></block><block s="reportListItem"><l>3</l><block var="color"/></block></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: three RGB-values expected!</l><l>variadic color --&gt; RGB(A) value</l></custom-block></script></block></script><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>4</l></list></block><script><block s="doIfElse"><block s="reportVariadicAnd"><list><block s="reportIsA"><block s="reportListItem"><l>1</l><block var="color"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>2</l><block var="color"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>3</l><block var="color"/></block><l><option>number</option></l></block><block s="reportIsA"><block s="reportListItem"><l>4</l><block var="color"/></block><l><option>number</option></l></block></list></block><script><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="color"/></block><block s="reportListItem"><l>2</l><block var="color"/></block><block s="reportListItem"><l>3</l><block var="color"/></block><block s="reportListItem"><l>4</l><block var="color"/></block></list></block></block></script><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: four RGBA-values expected!</l><l>variadic color --&gt; RGB(A) value</l></custom-block></script></block></script><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>1</l></list></block><script><block s="doSetVar"><l>color</l><block s="reportListItem"><l>1</l><block var="color"/></block></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportIsA"><block var="color"/><l><option>number</option></l></block><block s="reportIsA"><block var="color"/><l><option>text</option></l></block></list></block><script><block s="doReport"><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block></script><list><block s="reportIsA"><block var="color"/><l><option>list</option></l></block><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="color"/></block><l>3</l></list></block><script><block s="doReport"><custom-block s="%s as %txt"><block var="color"/><l>RGB-value</l></custom-block></block></script><script><block s="doReport"><custom-block s="%s as %txt"><block var="color"/><l>RGBA-value</l></custom-block></block></script></block></script><l><bool>true</bool></l><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: RGB(A)-values, color number, or color name expected!</l><l>variadic color --&gt; RGB(A) value</l></custom-block></script></list></block></script><l><bool>true</bool></l><script><block s="doReport"><block s="reportNewList"><list><l>0</l><l>0</l><l>0</l></list></block></block></script></list></block></script></block-definition><block-definition s="translate %&apos;text&apos;" type="reporter" category="1. SciSnap! globals" space="true"><comment x="0" y="0" w="90" collapsed="false">Currently not used.</comment><header></header><code></code><translations></translations><inputs><input type="%txt">any text</input></inputs><script><block s="doReport"><block var="text"/></block></script></block-definition><block-definition s="apply Wolfram automaton no %&apos;no&apos; to grid %&apos;grid&apos; $nl with colors for 0: %&apos;color0&apos; and 1: %&apos;color1&apos;" type="reporter" category="9. GridPad for grid operations" space="true"><comment x="0" y="0" w="237" collapsed="false">Applies a Wolfram Cellular Automaton to a grid.</comment><header></header><code></code><translations></translations><inputs><input type="%n">30</input><input type="%l"></input><input type="%n">3</input><input type="%n">1</input></inputs><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="grid"/><l>matrix</l></custom-block></block><script><block s="doReport"><l>ERROR: grid expected!</l></block></script><list></list></block><block s="doReport"><block s="reportApplyExtension"><l>SciS_applyWolframAutomatonToAgridOnGridPad(no,grid,color0,color1)</l><list><block var="no"/><block var="grid"/><block var="color0"/><block var="color1"/></list></block></block></script></block-definition><block-definition s="is %&apos;set&apos; numerical?" type="predicate" category="2. Math tools"><comment x="0" y="0" w="114.66666666666669" collapsed="false">Reports whether the set is numerical or not.</comment><header></header><code></code><translations></translations><inputs><input type="%s">this set</input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportNot"><custom-block s="is %s a %txt"><block var="set"/><l>set</l></custom-block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: parameter is not a set!</l><l>is set numerical?</l></custom-block></script><list></list></block><block s="doReport"><block s="reportListItem"><l>2</l><block var="set"/></block></block></script></block></script></block-definition><block-definition s="install eventhandler %&apos;event&apos; for %&apos;sprite&apos;" type="command" category="control"><comment x="0" y="0" w="117.59999999999998" collapsed="false">Installs an event handling method for a sprite.</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true">receiveGo<options>receiveGo&#xD;receiveKey enter&#xD;receiveKeyspace&#xD;receiveKey +&#xD;receiveKey -&#xD;receiveKey up arrow&#xD;receiveKey down arrow&#xD;receiveKey left arrow&#xD;receiveKey right arrow&#xD;receiveInteraction clicked&#xD;receiveInteraction pressed&#xD;receiveInteraction mouse-entered&#xD;receiveInteraction mouse-departed&#xD;receiveInteraction scrolled up&#xD;receiveInteraction scrolleddown&#xD;receiveMessage</options></input><input type="%s">thisSprite<options>thisSprite&#xD;theStage&#xD;anotherSprite</options></input></inputs><script><block s="doDeclareVariables"><list><l>target</l><l>caller</l><l>xml</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>target</l><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="sprite"/><l>thisSprite</l></list></block><block s="reportObject"><l><option>myself</option></l></block><block s="reportObject"><block var="sprite"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="target"/><l><option>sprite</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: sprite required!</l><l>install eventhandler for ...</l></custom-block></script><list></list></block><block s="doSetVar"><l>caller</l><block s="reportGet"><l><option>self</option></l></block></block><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><l>&lt;script app="Snap! 9.0, https://snap.berkeley.edu" version="2"&gt;&lt;script&gt;&lt;block s="</l></list></block></block><block s="doIf"><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>Go</l><block var="event"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><block var="xml"/><l>receiveGo"&gt;</l></list></block></block></script><list><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>Key</l><block var="event"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><block var="xml"/><l>receiveKey"&gt;&lt;l&gt;&lt;option&gt;</l><custom-block s="substring of %txt from %n to %n"><block var="event"/><l>12</l><block s="reportTextAttribute"><l><option>length</option></l><block var="event"/></block></custom-block><l>&lt;/option&gt;&lt;/l&gt;&lt;list&gt;&lt;/list&gt;</l></list></block></block></script><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>receiveMessage</l><block var="event"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><block var="xml"/><l>receiveMessage"&gt;&lt;l&gt;&lt;option&gt;any message&lt;/option&gt;&lt;/l&gt;&lt;list&gt;&lt;/list&gt;</l></list></block></block></script><block s="reportVariadicGreaterThan"><list><custom-block s="index of %txt in %txt"><l>receiveInteraction</l><block var="event"/></custom-block><l>0</l></list></block><script><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><block var="xml"/><l>receiveInteraction"&gt;&lt;l&gt;&lt;option&gt;</l><custom-block s="substring of %txt from %n to %n"><block var="event"/><l>20</l><block s="reportTextAttribute"><l><option>length</option></l><block var="event"/></block></custom-block><l>&lt;/option&gt;&lt;/l&gt;&lt;list&gt;&lt;/list&gt;</l></list></block></block></script></list></block><block s="doSetVar"><l>xml</l><block s="reportJoinWords"><list><block var="xml"/><l>&lt;/block&gt;&lt;custom-block s="let %s respond to %s"&gt;&lt;block s="reportObject"&gt;&lt;l&gt;&lt;option&gt;myself&lt;/option&gt;&lt;/l&gt;&lt;/block&gt;&lt;l&gt;</l><block var="event"/><l>&lt;/l&gt;&lt;/custom-block&gt;&lt;/script&gt;&lt;/script&gt;</l></list></block></block><custom-block s="select sprite %s"><block var="target"/></custom-block><block s="doRun"><block s="reifyScript"><script><block s="doApplyExtension"><l>SciS_installEventHandler(data)</l><list><l></l></list></block></script><list></list></block><list><block var="xml"/></list></block><custom-block s="select sprite %s"><block var="caller"/></custom-block></script></block></script></block-definition><block-definition s="Example: diffusion" type="command" category="9. GridPad for grid operations" space="true"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as an GridPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>400</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set GridPad grid properties on %s %br horizontal cells: %n vertical cells: %n %br initial cell colornumber: %n with grid lines? %b"><l>thisSprite</l><l>400</l><l>400</l><l>4</l><l><bool>false</bool></l></custom-block><custom-block s="fill cells on %s range x: %n %s y: %n %s %br randomly with color numbers %mult%n"><l>thisSprite</l><l>150</l><l>250</l><l>150</l><l>250</l><list><l>2</l></list></custom-block><custom-block s="add grid %s on %s"><l>myData</l><l>thisSprite</l></custom-block><block s="doForever"><script><block s="doSetVar"><l>myData</l><custom-block s="all cells on %s as torus? %b swapped %n times %br randomly inside radius %n range x: %n %s y: %n %s"><l>thisSprite</l><l><bool>true</bool></l><l>1</l><l>5</l><l>1</l><l>xMax</l><l>1</l><l>yMax</l></custom-block></block><custom-block s="add grid %s on %s"><l>myData</l><l>thisSprite</l></custom-block></script></block></script></block-definition><block-definition s="Example: Wolfram Automaton No. 30" type="command" category="9. GridPad for grid operations"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="configure %s as an GridPad width: %n height: %n %br color: %txt with close-button? %b left? %b size: %n"><l>thisSprite</l><l>400</l><l>300</l><l>lightGray</l><l><bool>false</bool></l><l><bool>false</bool></l><l>15</l></custom-block><custom-block s="set GridPad grid properties on %s %br horizontal cells: %n vertical cells: %n %br initial cell colornumber: %n with grid lines? %b"><l>thisSprite</l><l>400</l><l>300</l><l>11</l><l><bool>false</bool></l></custom-block><custom-block s="set cell value on %s at %n %n to %n %br with grid lines? %b"><l>thisSprite</l><l>200</l><l>1</l><l>1</l><l><bool>false</bool></l></custom-block><custom-block s="add grid %s on %s"><custom-block s="apply Wolfram automaton no %n to grid %l %br with colors for 0: %n and 1: %n"><l>30</l><block var="myData"/><l>11</l><l>1</l></custom-block><l>thisSprite</l></custom-block></script></block-definition><block-definition s="extract pure text from %&apos;text&apos;" type="reporter" category="operators" space="true"><comment x="0" y="0" w="250.66666666666663" collapsed="false">Extracts the words in upper case from a text, e.g. for statistical analysis or cryptographic purposes. </comment><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>c</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>text</l><block s="reportTextAttribute"><l><option>upper case</option></l><block var="text"/></block></block><block s="doSetVar"><l>text</l><custom-block s="replace %txt %txt with %txt in %txt"><l>all</l><l>Ä</l><l>AE</l><block var="text"/></custom-block></block><block s="doSetVar"><l>text</l><custom-block s="replace %txt %txt with %txt in %txt"><l>all</l><l>Ö</l><l>OE</l><block var="text"/></custom-block></block><block s="doSetVar"><l>text</l><custom-block s="replace %txt %txt with %txt in %txt"><l>all</l><l>Ü</l><l>UE</l><block var="text"/></custom-block></block><block s="doSetVar"><l>text</l><custom-block s="replace %txt %txt with %txt in %txt"><l>all</l><l>Ü</l><l>UE</l><block var="text"/></custom-block></block><block s="doSetVar"><l>result</l><l></l></block><block s="doFor"><l>i</l><l>1</l><block s="reportTextAttribute"><l><option>length</option></l><block var="text"/></block><script><block s="doSetVar"><l>c</l><block s="reportLetter"><block var="i"/><block var="text"/></block></block><block s="doIf"><block s="reportVariadicEquals"><list><block s="reportUnicode"><block var="c"/></block><l>13</l></list></block><script><block s="doSetVar"><l>c</l><l> </l></block></script><list></list></block><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block var="c"/><l> </l></list></block><block s="reportVariadicAnd"><list><block s="reportVariadicGreaterThanOrEquals"><list><block var="c"/><l>A</l></list></block><block s="reportVariadicLessThanOrEquals"><list><block var="c"/><l>Z</l></list></block></list></block></list></block><script><block s="doSetVar"><l>result</l><block s="reportJoinWords"><list><block var="result"/><block var="c"/></list></block></block></script><list></list></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="prepare data für naive Bayes text classification $nl from text list of category 1 %&apos;textlist1&apos; $nl and text list of other categories %&apos;textlist2&apos;" type="reporter" category="operators"><comment x="0" y="0" w="224.00000000000003" collapsed="false">Reports a list [p(category1), p(category2), LagrangeSmoothing1, LagrangeSmoothing2,  probabilities1, probabilities2) for naive Bayes classification of texts.</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>pCat1</l><l>pCat2</l><l>text1</l><l>text2</l><l>total vocabulary</l><l>vocabulary1</l><l>vocabulary2</l><l>lengthTotalVocabulary</l><l>lengthVocabulary1</l><l>lengthVocabulary2</l><l>conditional probabilities1</l><l>conditional probabilities2</l><l>countedWords1</l><l>countedWords2</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportVariadicOr"><list><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="textlist1"/></block><l>0</l></list></block><block s="reportVariadicEquals"><list><block s="reportListAttribute"><l><option>length</option></l><block var="textlist2"/></block><l>0</l></list></block></list></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>two lists of texts necessary!</l><l>prepare data for Bayes classification</l></custom-block></script><list></list></block><block s="doSetVar"><l>pCat1</l><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="textlist1"/></block><block s="reportVariadicSum"><list><block s="reportListAttribute"><l><option>length</option></l><block var="textlist1"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="textlist2"/></block></list></block></block></block><block s="doSetVar"><l>pCat2</l><block s="reportQuotient"><block s="reportListAttribute"><l><option>length</option></l><block var="textlist2"/></block><block s="reportVariadicSum"><list><block s="reportListAttribute"><l><option>length</option></l><block var="textlist1"/></block><block s="reportListAttribute"><l><option>length</option></l><block var="textlist2"/></block></list></block></block></block><block s="doSetVar"><l>text1</l><block s="reportListItem"><l>1</l><block var="textlist1"/></block></block><block s="doFor"><l>i</l><l>2</l><block s="reportListAttribute"><l><option>length</option></l><block var="textlist1"/></block><script><block s="doSetVar"><l>text1</l><block s="reportJoinWords"><list><block var="text1"/><l> </l><block s="reportListItem"><block var="i"/><block var="textlist1"/></block></list></block></block></script></block><block s="doSetVar"><l>text2</l><block s="reportListItem"><l>1</l><block var="textlist2"/></block></block><block s="doFor"><l>i</l><l>2</l><block s="reportListAttribute"><l><option>length</option></l><block var="textlist2"/></block><script><block s="doSetVar"><l>text2</l><block s="reportJoinWords"><list><block var="text2"/><l> </l><block s="reportListItem"><block var="i"/><block var="textlist2"/></block></list></block></block></script></block><block s="doSetVar"><l>text1</l><custom-block s="extract pure text from %txt"><block var="text1"/></custom-block></block><block s="doSetVar"><l>text2</l><custom-block s="extract pure text from %txt"><block var="text2"/></custom-block></block><block s="doSetVar"><l>countedWords1</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><l/></block></block><l>0</l></list></block></autolambda><list></list></block><custom-block s="count values in %s"><block s="reportTextSplit"><block var="text1"/><l> </l></block></custom-block></block></block><block s="doSetVar"><l>countedWords2</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><block s="reportListItem"><l>1</l><l/></block></block><l>0</l></list></block></autolambda><list></list></block><custom-block s="count values in %s"><block s="reportTextSplit"><block var="text2"/><l> </l></block></custom-block></block></block><block s="doSetVar"><l>vocabulary1</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="countedWords1"/><l><bool>true</bool></l></custom-block></block><block s="doSetVar"><l>vocabulary2</l><custom-block s="%s %s of %s with first item? %b"><l>column</l><l>1</l><block var="countedWords2"/><l><bool>true</bool></l></custom-block></block><block s="doSetVar"><l>total vocabulary</l><custom-block s="sort %s with predicate %predRing"><custom-block s="%s without duplicates"><block s="reportConcatenatedLists"><list><block var="vocabulary1"/><block var="vocabulary2"/></list></block></custom-block><block s="reifyPredicate"><autolambda><block s="reportVariadicLessThan"><list><l></l><l></l></list></block></autolambda><list></list></block></custom-block></block><block s="doSetVar"><l>lengthTotalVocabulary</l><block s="reportListAttribute"><l><option>length</option></l><block var="total vocabulary"/></block></block><block s="doSetVar"><l>lengthVocabulary1</l><block s="reportListAttribute"><l><option>length</option></l><block var="vocabulary1"/></block></block><block s="doSetVar"><l>lengthVocabulary2</l><block s="reportListAttribute"><l><option>length</option></l><block var="vocabulary2"/></block></block><block s="doSetVar"><l>conditional probabilities1</l><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="value"/></block><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="value"/></block><l>1</l></list></block><block s="reportVariadicSum"><list><block var="lengthVocabulary1"/><block var="lengthTotalVocabulary"/></list></block></block></list></block></block></script><list><l>value</l></list></block><block var="countedWords1"/></block></block><block s="doSetVar"><l>conditional probabilities2</l><block s="reportMap"><block s="reifyReporter"><script><block s="doReport"><block s="reportNewList"><list><block s="reportListItem"><l>1</l><block var="value"/></block><block s="reportQuotient"><block s="reportVariadicSum"><list><block s="reportListItem"><l>2</l><block var="value"/></block><l>1</l></list></block><block s="reportVariadicSum"><list><block var="lengthVocabulary2"/><block var="lengthTotalVocabulary"/></list></block></block></list></block></block></script><list><l>value</l></list></block><block var="countedWords2"/></block></block><block s="doReport"><block s="reportNewList"><list><block var="pCat1"/><block var="pCat2"/><block s="reportQuotient"><l>1</l><block s="reportVariadicSum"><list><block var="lengthVocabulary1"/><block var="lengthTotalVocabulary"/></list></block></block><block s="reportQuotient"><l>1</l><block s="reportVariadicSum"><list><block var="lengthVocabulary2"/><block var="lengthTotalVocabulary"/></list></block></block><block var="conditional probabilities1"/><block var="conditional probabilities2"/></list></block></block></script></block></script><scripts><script x="1405.4332031249996" y="435.21666666666687"><block var="text2"/></script></scripts></block-definition><block-definition s="naive Bayes classification of %&apos;text&apos; $nl based on trained data %&apos;trained data&apos;" type="reporter" category="operators"><header></header><code></code><translations></translations><inputs><input type="%txt">this text</input><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>wordlist</l><l>result1</l><l>result2</l><l>factor</l><l>LagrangeSmoothing1</l><l>LagrangeSmoothing2</l></list></block><block s="doWarp"><script><block s="doSetVar"><l>wordlist</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicGreaterThan"><list><block s="reportTextAttribute"><l><option>length</option></l><l></l></block><l>0</l></list></block></autolambda><list></list></block><block s="reportTextSplit"><custom-block s="extract pure text from %txt"><block var="text"/></custom-block><l> </l></block></block></block><block s="doSetVar"><l>result1</l><block s="reportListItem"><l>1</l><block var="trained data"/></block></block><block s="doSetVar"><l>result2</l><block s="reportListItem"><l>2</l><block var="trained data"/></block></block><block s="doForEach"><l>word</l><block var="wordlist"/><script><block s="doSetVar"><l>factor</l><block s="reportListItem"><block var="word"/><block s="reportListItem"><l>5</l><block var="trained data"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="factor"/><l><option>number</option></l></block></block><script><block s="doSetVar"><l>factor</l><block s="reportListItem"><l>3</l><block var="trained data"/></block></block></script><list></list></block><block s="doSetVar"><l>result1</l><block s="reportVariadicProduct"><list><block var="result1"/><block var="factor"/></list></block></block><block s="doSetVar"><l>factor</l><block s="reportListItem"><block var="word"/><block s="reportListItem"><l>6</l><block var="trained data"/></block></block></block><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="factor"/><l><option>number</option></l></block></block><script><block s="doSetVar"><l>factor</l><block s="reportListItem"><l>4</l><block var="trained data"/></block></block></script><list></list></block><block s="doSetVar"><l>result2</l><block s="reportVariadicProduct"><list><block var="result2"/><block var="factor"/></list></block></block></script></block><block s="doReport"><block s="reportNewList"><list><block s="reportQuotient"><block var="result1"/><block s="reportVariadicSum"><list><block var="result1"/><block var="result2"/></list></block></block><block s="reportQuotient"><block var="result2"/><block s="reportVariadicSum"><list><block var="result1"/><block var="result2"/></list></block></block></list></block></block></script></block></script></block-definition><block-definition s="list %&apos;list&apos; from item %&apos;start&apos; to item %&apos;end&apos;" type="reporter" category="lists"><header></header><code></code><translations></translations><inputs><input type="%l"></input><input type="%n">1</input><input type="%n">2</input></inputs><script><block s="doDeclareVariables"><list><l>result</l><l>i</l></list></block><block s="doWarp"><script><block s="doIf"><block s="reportNot"><block s="reportIsA"><block var="list"/><l><option>list</option></l></block></block><script><custom-block s="report SciSnap! error %txt %br from %txt and stop all scripts"><l>ERROR: list required!</l><l>part of list</l></custom-block></script><list></list></block><block s="doSetVar"><l>result</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>i</l><block var="start"/></block><block s="doUntil"><block s="reportVariadicGreaterThan"><list><block var="i"/><block var="end"/></list></block><script><block s="doAddToList"><block s="reportListItem"><block var="i"/><block var="list"/></block><block var="result"/></block><block s="doChangeVar"><l>i</l><l>1</l></block></script></block><block s="doReport"><block var="result"/></block></script></block></script></block-definition><block-definition s="inform title %&apos;title&apos; message %&apos;message&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%txt">Alert</input><input type="%mlt">Hello there!</input></inputs><script><custom-block s="load dialog extension"></custom-block><block s="doApplyExtension"><l>dlg_inform(title,message)</l><list><block var="title"/><block var="message"/></list></block></script></block-definition><block-definition s="load dialog extension" type="command" category="looks" helper="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/microworlds/dialogs.js</l></list></block></script></block-definition><block-definition s="show message %&apos;message&apos; secs %&apos;secs&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">2</input></inputs><script><custom-block s="load dialog extension"></custom-block><block s="doApplyExtension"><l>dlg_show_message(message,secs)</l><list><block var="message"/><block var="secs"/></list></block></script></block-definition><block-definition s="load fancy text morphs extension" type="command" category="looks" helper="true"><comment x="0" y="0" w="90" collapsed="false">All blocks call this internally. You can optionally load it manually call it up front to speed up the first use.</comment><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/microworlds/fancy-text-morphs.js</l></list></block></script></block-definition><block-definition s="fancy think %&apos;data&apos; size: %&apos;size&apos; max width: %&apos;maxWidth&apos; color: %&apos;color&apos; in my %&apos;anchor&apos; for %&apos;n&apos; seconds" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Syntax:&#xD;_italics_&#xD;*bold*&#xD;Fraction:&#xD;&#126;(1/2)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">14</input><input type="%n">130<options>default=130&#xD;auto</options></input><input type="%txt">rgb(0,0,0)</input><input type="%s" readonly="true">top right<options>top right&#xD;top left&#xD;bottom right&#xD;bottom left</options></input><input type="%n">2</input></inputs><script><custom-block s="fancy think %mlt size: %n max width: %n color: %txt in my %s"><block var="data"/><block var="size"/><block var="maxWidth"/><block var="color"/><block var="anchor"/></custom-block><block s="doWait"><block var="n"/></block><block s="bubble"><l></l></block></script></block-definition><block-definition s="fancy think %&apos;data&apos; size: %&apos;size&apos; max width: %&apos;maxWidth&apos; color: %&apos;color&apos; in my %&apos;anchor&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Syntax:&#xD;_italics_&#xD;*bold*&#xD;Fraction:&#xD;&#126;(1/2)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">14</input><input type="%n">130<options>default=130&#xD;auto</options></input><input type="%txt">rgb(0,0,0)</input><input type="%s" readonly="true">top right<options>top right&#xD;top left&#xD;bottom right&#xD;bottom left</options></input></inputs><script><custom-block s="load fancy text morphs extension"></custom-block><block s="doApplyExtension"><l>ftx_think(data, size, maxWidth, color, anchor)</l><list><block var="data"/><block var="size"/><block var="maxWidth"/><block var="color"/><block var="anchor"/></list></block></script></block-definition><block-definition s="fancy say %&apos;data&apos; size: %&apos;size&apos; max width: %&apos;maxWidth&apos; color: %&apos;color&apos; in my %&apos;anchor&apos; for %&apos;n&apos; seconds" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Syntax:&#xD;_italics_&#xD;*bold*&#xD;Fraction:&#xD;&#126;(1/2)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">14</input><input type="%n">130<options>default=130&#xD;auto</options></input><input type="%txt">rgb(0,0,0)</input><input type="%s" readonly="true">top right<options>top right&#xD;top left&#xD;bottom right&#xD;bottom left</options></input><input type="%n">2</input></inputs><script><custom-block s="fancy say %mlt size: %n max width: %n color: %txt in my %s"><block var="data"/><block var="size"/><block var="maxWidth"/><block var="color"/><block var="anchor"/></custom-block><block s="doWait"><block var="n"/></block><block s="bubble"><l></l></block></script></block-definition><block-definition s="fancy say %&apos;data&apos; size: %&apos;size&apos; max width: %&apos;maxWidth&apos; color: %&apos;color&apos; in my %&apos;anchor&apos;" type="command" category="looks"><comment x="0" y="0" w="90" collapsed="false">Syntax:&#xD;_italics_&#xD;*bold*&#xD;Fraction:&#xD;&#126;(1/2)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">14</input><input type="%n">130<options>default=130&#xD;auto</options></input><input type="%txt">rgb(0,0,0)</input><input type="%s" readonly="true">top right<options>top right&#xD;top left&#xD;bottom right&#xD;bottom left</options></input></inputs><script><custom-block s="load fancy text morphs extension"></custom-block><block s="doApplyExtension"><l>ftx_say(data, size, maxWidth, color, anchor)</l><list><block var="data"/><block var="size"/><block var="maxWidth"/><block var="color"/><block var="anchor"/></list></block></script></block-definition><block-definition s="fancy text costume %&apos;data&apos; size: %&apos;size&apos; max width: %&apos;maxWidth&apos; color: %&apos;color&apos; align: %&apos;align&apos; font: %&apos;font&apos;" type="reporter" category="looks"><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">14</input><input type="%n">0<options>auto</options></input><input type="%txt">rgb(0,0,0)</input><input type="%txt" readonly="true">left<options>left&#xD;center&#xD;right</options></input><input type="%txt">sans-serif<options>serif&#xD;sans-serif&#xD;monospace&#xD;Arial&#xD;Arial Black&#xD;Verdana&#xD;Tahoma&#xD;Trebuchet MS&#xD;Impact&#xD;Times New Roman&#xD;Didot&#xD;Georgia&#xD;American Typewriter&#xD;Andalé Mono&#xD;Courier&#xD;Lucida Console&#xD;Monaco&#xD;Bradley Hand&#xD;Brush Script MT&#xD;Luminari&#xD;Comic Sans MS</options></input></inputs><script><custom-block s="load fancy text morphs extension"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>ftx_costume(data, size, maxWidth, color, align, font)</l><list><block var="data"/><block var="size"/><block var="maxWidth"/><block var="color"/><block var="align"/><block var="font"/></list></block></block></script></block-definition><block-definition s="remove formatting characters from %&apos;string&apos;" type="reporter" category="operators" helper="true"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><custom-block s="load fancy text morphs extension"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>ftx_remove_formatting_characters(text)</l><list><block var="string"/></list></block></block></script></block-definition><block-definition s="write on stage text %&apos;text&apos; size: %&apos;size&apos; font: %&apos;font&apos; align: %&apos;align&apos; x: %&apos;x&apos; y: %&apos;y&apos; color: %&apos;color&apos;" type="command" category="pen"><comment x="0" y="0" w="90" collapsed="false">Syntax:&#xD;_italics_&#xD;*bold*&#xD;Fraction:&#xD;&#126;(1/2)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">12</input><input type="%txt">Arial<options>serif&#xD;sans-serif&#xD;monospace&#xD;Arial&#xD;Arial Black&#xD;Verdana&#xD;Tahoma&#xD;Trebuchet MS&#xD;Impact&#xD;Times New Roman&#xD;Didot&#xD;Georgia&#xD;American Typewriter&#xD;Andalé Mono&#xD;Courier&#xD;Lucida Console&#xD;Monaco&#xD;Bradley Hand&#xD;Brush Script MT&#xD;Luminari&#xD;Comic Sans MS</options></input><input type="%txt" readonly="true">left<options>left&#xD;center&#xD;right</options></input><input type="%n">0</input><input type="%n">0</input><input type="%txt">rgb(0,0,0)</input></inputs><script><custom-block s="do %cs and restore pen"><script><block s="doDeclareVariables"><list><l>text dimensions</l></list></block><block s="doSetVar"><l>text dimensions</l><custom-block s="dimensions of text %mlt size: %n font: %txt align: %txt x: %n y: %n"><block var="text"/><block var="size"/><block var="font"/><block var="align"/><block var="x"/><block var="y"/></custom-block></block><block s="up"></block><block s="gotoXY"><custom-block s="value at key %s of %l"><l>x</l><block var="text dimensions"/></custom-block><custom-block s="value at key %s of %l"><l>y</l><block var="text dimensions"/></custom-block></block><custom-block s="write on stage %mlt size: %n font: %txt color: %txt"><block var="text"/><block var="size"/><block var="font"/><block var="color"/></custom-block></script></custom-block></script></block-definition><block-definition s="dimensions of text %&apos;text&apos; size: %&apos;size&apos; font: %&apos;font&apos; align: %&apos;align&apos; x: %&apos;x&apos; y: %&apos;y&apos;" type="reporter" category="pen" helper="true"><comment x="0" y="0" w="90" collapsed="false">pre-render text transparent to determine height and width and, if necessary, the adjusted coordinates (for right and center alignment)</comment><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">12</input><input type="%txt">Arial<options>serif&#xD;sans-serif&#xD;monospace&#xD;Arial&#xD;Arial Black&#xD;Verdana&#xD;Tahoma&#xD;Trebuchet MS&#xD;Impact&#xD;Times New Roman&#xD;Didot&#xD;Georgia&#xD;American Typewriter&#xD;Andalé Mono&#xD;Courier&#xD;Lucida Console&#xD;Monaco&#xD;Bradley Hand&#xD;Brush Script MT&#xD;Luminari&#xD;Comic Sans MS</options></input><input type="%txt" readonly="true">left<options>left&#xD;center&#xD;right</options></input><input type="%n">0</input><input type="%n">0</input></inputs><script><block s="doDeclareVariables"><list><l>height</l><l>width</l></list></block><custom-block s="do %cs and restore pen"><script><block s="up"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="setHeading"><l>90</l></block><custom-block s="write on stage %mlt size: %n font: %txt color: %txt"><block var="text"/><block var="size"/><block var="font"/><l>transparent</l></custom-block><block s="doSetVar"><l>height</l><block s="reportMonadic"><l><option>abs</option></l><block s="yPosition"></block></block></block><block s="doSetVar"><l>width</l><block s="xPosition"></block></block><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="align"/><l>right</l></list></block><script><block s="doChangeVar"><l>x</l><block s="reportVariadicProduct"><list><l>-1</l><block var="width"/></list></block></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="align"/><l>center</l></list></block><script><block s="doChangeVar"><l>x</l><block s="reportVariadicProduct"><list><l>-0.5</l><block var="width"/></list></block></block></script><list></list></block></script></block></script></custom-block><block s="doReport"><block s="reportNewList"><list><custom-block s="key: %s value: %s"><l>width</l><block var="width"/></custom-block><custom-block s="key: %s value: %s"><l>height</l><block var="height"/></custom-block><custom-block s="key: %s value: %s"><l>x</l><block var="x"/></custom-block><custom-block s="key: %s value: %s"><l>y</l><block var="y"/></custom-block></list></block></block></script></block-definition><block-definition s="write on stage %&apos;text&apos; size: %&apos;size&apos; font: %&apos;font&apos; color: %&apos;color&apos;" type="command" category="pen" helper="true"><header></header><code></code><translations></translations><inputs><input type="%mlt">Hello!</input><input type="%n">12</input><input type="%txt">Arial<options>serif&#xD;sans-serif&#xD;monospace&#xD;Arial&#xD;Arial Black&#xD;Verdana&#xD;Tahoma&#xD;Trebuchet MS&#xD;Impact&#xD;Times New Roman&#xD;Didot&#xD;Georgia&#xD;American Typewriter&#xD;Andalé Mono&#xD;Courier&#xD;Lucida Console&#xD;Monaco&#xD;Bradley Hand&#xD;Brush Script MT&#xD;Luminari&#xD;Comic Sans MS</options></input><input type="%txt">rgb(0,0,0)</input></inputs><script><custom-block s="load fancy text extension"></custom-block><block s="doApplyExtension"><l>ft_write_on_stage(text, size, font, color, sprite)</l><list><block var="text"/><block var="size"/><block var="font"/><block var="color"/><block s="reportGet"><l><option>self</option></l></block></list></block></script></block-definition><block-definition s="load fancy text extension" type="command" category="pen" helper="true"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/microworlds/fancy-text.js</l></list></block></script></block-definition><block-definition s="do %&apos;command&apos; and restore pen" type="command" category="pen" helper="true"><header></header><code></code><translations></translations><inputs><input type="%cs"></input></inputs><script><block s="doDeclareVariables"><list><l>old x</l><l>old y</l><l>dir</l><l>pen down?</l><l>old color</l></list></block><block s="doSetVar"><l>old x</l><block s="xPosition"></block></block><block s="doSetVar"><l>old y</l><block s="yPosition"></block></block><block s="doSetVar"><l>dir</l><block s="direction"></block></block><block s="doSetVar"><l>pen down?</l><block s="getPenDown"></block></block><block s="doSetVar"><l>old color</l><block s="getPenAttribute"><l><option>r-g-b-a</option></l></block></block><block s="doRun"><block var="command"/><list></list></block><block s="up"></block><block s="gotoXY"><block var="old x"/><block var="old y"/></block><block s="setHeading"><block var="dir"/></block><block s="doIf"><block var="pen down?"/><script><block s="down"></block></script><list></list></block><block s="setPenColorDimension"><l><option>r-g-b(-a)</option></l><block var="old color"/></block></script></block-definition><block-definition s="load microworld" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><block s="doApplyExtension"><l>src_load(url)</l><list><l>libraries/microworlds/microworld.js</l></list></block><block s="doApplyExtension"><l>mw_load</l><list></list></block></script></block-definition><block-definition s="switch to language %&apos;language&apos; and broadcast %&apos;message&apos; with data %&apos;data&apos; show loading screen %&apos;loading screen&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt">en</input><input type="%s" readonly="true"><options>§_messagesMenu</options></input><input type="%s"></input><input type="%b">false</input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_ide_lang(langCode,message,payload,loadingScreen)</l><list><block var="language"/><block var="message"/><block var="data"/><block var="loading screen"/></list></block></script></block-definition><block-definition s="block spec %&apos;block&apos;" type="reporter" category="Microworld"><comment x="0" y="0" w="90" collapsed="false">Pass in ringified a ringified block to get its specs</comment><header></header><code></code><translations></translations><inputs><input type="%repRing"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>mw_get_spec_from_block(block)</l><list><block var="block"/></list></block></block></script></block-definition><block-definition s="button label %&apos;label&apos; message %&apos;message&apos; data %&apos;data&apos;" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"><options>§_messagesMenu</options></input><input type="%s"></input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>json</option></l><block s="reportNewList"><list><custom-block s="key: %s value: %s"><l>label</l><block var="label"/></custom-block><custom-block s="key: %s value: %s"><l>message</l><block var="message"/></custom-block><custom-block s="key: %s value: %s"><l>payload</l><block var="data"/></custom-block></list></block></block></block></script></block-definition><block-definition s="set buttons in %&apos;location&apos; to %&apos;buttons&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true"><options>scripts&#xD;palette&#xD;corral&#xD;stage</options></input><input type="%l"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_buttons(location, buttons)</l><list><block var="location"/><block var="buttons"/></list></block></script></block-definition><block-definition s="stage button label %&apos;label&apos; message %&apos;message&apos; data %&apos;data&apos; x %&apos;x&apos; y %&apos;y&apos; anchor x %&apos;anchor x&apos; anchor y %&apos;anchor y&apos; font size %&apos;font size&apos;" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt"></input><input type="%txt"><options>§_messagesMenu</options></input><input type="%s"></input><input type="%n">0</input><input type="%n">0</input><input type="%txt" readonly="true">left<options>left&#xD;middle&#xD;right</options></input><input type="%txt" readonly="true">top<options>top&#xD;middle&#xD;bottom</options></input><input type="%n">10</input></inputs><script><block s="doReport"><block s="reportListAttribute"><l><option>json</option></l><block s="reportNewList"><list><custom-block s="key: %s value: %s"><l>definition</l><block s="reportTextSplit"><custom-block s="button label %txt message %txt data %s"><block var="label"/><block var="message"/><block var="data"/></custom-block><l><option>json</option></l></block></custom-block><custom-block s="key: %s value: %s"><l>appearance</l><block s="reportNewList"><list><custom-block s="key: %s value: %s"><l>x</l><block var="x"/></custom-block><custom-block s="key: %s value: %s"><l>y</l><block var="y"/></custom-block><custom-block s="key: %s value: %s"><l>anchorX</l><block var="anchor x"/></custom-block><custom-block s="key: %s value: %s"><l>anchorY</l><block var="anchor y"/></custom-block><custom-block s="key: %s value: %s"><l>fontSize</l><block var="font size"/></custom-block></list></block></custom-block></list></block></block></block></script></block-definition><block-definition s="microworld define %&apos;block&apos; %&apos;label&apos; %&apos;context&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%upvar"></input><input type="%txt"></input><input type="%repRing"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_do_define_block(upvar, label, context)</l><list><block var="block"/><block var="label"/><block var="context"/></list></block></script></block-definition><block-definition s="button pic labeled %&apos;label&apos;" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt">my button</input></inputs><script><custom-block s="load microworld"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>mw_button_pic(definition)</l><list><custom-block s="button label %txt message %txt data %s"><block var="label"/><l></l><l></l></custom-block></list></block></block></script></block-definition><block-definition s="hide loading screen" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_hide_loading_screen</l><list></list></block></script></block-definition><block-definition s="show loading screen" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_show_loading_screen</l><list></list></block></script></block-definition><block-definition s="set loading screen after translate %&apos;loading screen&apos;" type="command" category="Microworld"><comment x="0" y="0" w="90" collapsed="false">Show a loading screen after the settings menu is used to changed languages. Loading screen will display until microworld is entered.</comment><header></header><code></code><translations></translations><inputs><input type="%b" readonly="true">false<options>§_messagesMenu</options></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_loading_screen_after_translate(showLoading)</l><list><block var="loading screen"/></list></block></script></block-definition><block-definition s="set active buttons in %&apos;location&apos; to %&apos;buttons&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true"><options>scripts&#xD;palette&#xD;corral&#xD;stage</options></input><input type="%l"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_active_buttons(location, labels)</l><list><block var="location"/><block var="buttons"/></list></block></script></block-definition><block-definition s="set broadcast after translate %&apos;message&apos;" type="command" category="Microworld"><comment x="0" y="0" w="90" collapsed="false">Broadcast a message after the IDE is translated into another language</comment><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>§_messagesMenu</options></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_broadcast_after_translate(message)</l><list><block var="message"/></list></block></script></block-definition><block-definition s="set menu %&apos;menu&apos; to items %&apos;items&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true"><options>projectMenu&#xD;settingsMenu&#xD;languageMenu&#xD;blockContextMenu&#xD;paletteContextMenu&#xD;scriptsContextMenu&#xD;stageContextMenu&#xD;spriteContextMenu</options></input><input type="%txt"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_menu_items(menu,items)</l><list><block var="menu"/><block var="items"/></list></block></script></block-definition><block-definition s="set ide param %&apos;which&apos; to %&apos;val&apos;" type="command" category="Microworld"><comment x="0" y="0" w="254.66666666666666" collapsed="false">Allows changing global settings programmatically.&#xD;This block is for Boolean (checkbox) settings; use&#xD;SET VALUE for numeric or text values.&#xD;&#xD;Eisenberg&apos;s Law:  Anything you can do from the user interface you should be able to do in your program, and vice versa.  This library is just a beginning; there are many UI controls outside of the Settings menu.</comment><header></header><code></code><translations>pt:altera o valor da configuração _ para _&#xD;</translations><inputs><input type="%s" readonly="true"><options>Zoom blocks&#xD;Stage size&#xD;Stage scale&#xD;Presentation mode</options></input><input type="%s"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_snap_ide_set(param,value)</l><list><block var="which"/><block var="val"/></list></block></script></block-definition><block-definition s="switch to sprite %&apos;sprite&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true"><options>§_objectsMenu</options></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_switch_to_sprite(sprite)</l><list><block var="sprite"/></list></block></script></block-definition><block-definition s="exit microworld" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_escape</l><list></list></block></script></block-definition><block-definition s="enter microworld" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_enter</l><list></list></block></script></block-definition><block-definition s="microworld active?" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="load microworld"></custom-block><block s="doReport"><block s="reportApplyExtension"><l>mw_is_active?</l><list></list></block></block></script></block-definition><block-definition s="set block buttons %&apos;specs&apos;" type="command" category="Microworld"><comment x="0" y="0" w="435.77050781249994" collapsed="false">set first item to &apos;all&apos; to allow editing of all blocks</comment><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_button_blocks(specs)</l><list><block var="specs"/></list></block></script></block-definition><block-definition s="set editable block specs %&apos;specs&apos;" type="command" category="Microworld"><comment x="0" y="0" w="435.77050781249994" collapsed="false">set first item to &apos;all&apos; to allow editing of all blocks</comment><header></header><code></code><translations></translations><inputs><input type="%s"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_editable_blocks(specs)</l><list><block var="specs"/></list></block></script></block-definition><block-definition s="set palette blocks %&apos;specs&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_block_specs(specs)</l><list><block var="specs"/></list></block></script></block-definition><block-definition s="set enable variables %&apos;enable&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%b">true</input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_enable_variables(enable)</l><list><block var="enable"/></list></block></script></block-definition><block-definition s="set enable keyboard %&apos;enable&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%b">true</input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_enable_keyboard(enable)</l><list><block var="enable"/></list></block></script></block-definition><block-definition s="set hidden UI features %&apos;morphs&apos;" type="command" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%txt"></input></inputs><script><custom-block s="load microworld"></custom-block><block s="doApplyExtension"><l>mw_set_hidden_morphs(morphs)</l><list><block var="morphs"/></list></block></script></block-definition><block-definition s="block specs %&apos;blocks&apos;" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%mult%repRing"></input></inputs><script><block s="doReport"><block s="reportMap"><block s="reifyReporter"><autolambda><custom-block s="block spec %repRing"><block s="reifyReporter"><script></script><list></list></block></custom-block></autolambda><list></list></block><block var="blocks"/></block></block></script></block-definition><block-definition s="list to comma-separated string %&apos;list&apos;" type="reporter" category="Microworld"><header></header><code></code><translations></translations><inputs><input type="%l"></input></inputs><script><block s="doDeclareVariables"><list><l>output string</l></list></block><block s="doSetVar"><l>output string</l><block s="reportCombine"><block var="list"/><block s="reifyReporter"><autolambda><block s="reportJoinWords"><list><l></l><l>,</l><l></l></list></block></autolambda><list></list></block></block></block><block s="doReport"><block s="reportIfElse"><block s="reportVariadicEquals"><list><block var="output string"/><l>0</l></list></block><l></l><block var="output string"/></block></block></script></block-definition><block-definition s="hidden UI features $nl %&apos;spriteBar&apos; sprite bar $nl %&apos;spriteCorral&apos; sprite corral $nl palette $nl $    -1 %&apos;categoryList&apos; category list $nl $    -1 %&apos;makeBlockButtons&apos; make block buttons $nl $    -1 %&apos;searchButton&apos; search button $nl control bar $nl $    -1 %&apos;steppingButton&apos; stepping button $nl $    -1 %&apos;startButton&apos; start button $nl $    -1 %&apos;pauseButton&apos; pause button" type="reporter" category="Microworld"><comment x="0" y="0" w="170.0400390625" collapsed="false">Generates a comma-separated string of the morphs to hide. Use with &apos;set hidden UI features...&apos; block&#xD;&#xD;Checked morphs are hidden</comment><header></header><code></code><translations></translations><inputs><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input><input type="%b">false</input></inputs><script><block s="doDeclareVariables"><list><l>hidden morphs</l></list></block><block s="doSetVar"><l>hidden morphs</l><block s="reportNewList"><list></list></block></block><block s="doIf"><block var="spriteBar"/><script><block s="doAddToList"><l>spriteBar</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="spriteCorral"/><script><block s="doAddToList"><l>spriteCorral</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="categoryList"/><script><block s="doAddToList"><l>categoryList</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="makeBlockButtons"/><script><block s="doAddToList"><l>makeBlockButtons</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="searchButton"/><script><block s="doAddToList"><l>searchButton</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="steppingButton"/><script><block s="doAddToList"><l>steppingButton</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="startButton"/><script><block s="doAddToList"><l>startButton</l><block var="hidden morphs"/></block></script><list></list></block><block s="doIf"><block var="pauseButton"/><script><block s="doAddToList"><l>pauseButton</l><block var="hidden morphs"/></block></script><list></list></block><block s="doReport"><custom-block s="list to comma-separated string %l"><block var="hidden morphs"/></custom-block></block></script></block-definition><block-definition s="remove all custom blocks in %&apos;category&apos;" type="command" category="control" space="true"><header></header><code></code><translations></translations><inputs><input type="%s" readonly="true" initial="1"><options>§_dynamicMenu</options></input></inputs><script><block s="doForEach"><l>custom block</l><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>category</option></l><block s="reifyReporter"><script></script><list></list></block></block><block s="reportListIndex"><block var="category"/><block s="reportGet"><l><option>categories</option></l></block></block></list></block><block s="reportBlockAttribute"><l><option>custom?</option></l><block s="reifyReporter"><script></script><list></list></block></block></list></block></autolambda><list></list></block><block s="reportGet"><l><option>blocks</option></l></block></block><script><block s="doDeleteBlock"><block var="custom block"/></block></script></block></script><scripts><script x="10" y="246.1666666666667"><block s="receiveSlotEvent"><l>category</l><l><option>menu</option></l></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListIsEmpty"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>category</option></l><block s="reifyReporter"><script></script><list></list></block></block><block s="reportListIndex"><block var="cat"/><block s="reportGet"><l><option>categories</option></l></block></block></list></block><block s="reportBlockAttribute"><l><option>custom?</option></l><block s="reifyReporter"><script></script><list></list></block></block></list></block></autolambda><list></list></block><block s="reportGet"><l><option>blocks</option></l></block></block></block></block></autolambda><list><l>cat</l></list></block><block s="reportGet"><l><option>categories</option></l></block></block></block></script></scripts></block-definition><block-definition s="%&apos;selection&apos; category %&apos;catName&apos; color %&apos;r&apos; %&apos;g&apos; %&apos;b&apos;" type="command" category="control"><comment x="0" y="0" w="220.83333333333334" collapsed="false">You can use this block to delete or create your own categories. For security reasons, JavaScript must be activated for this.</comment><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true" initial="1">remove<options>remove&#xD;create&#xD;hide all blocks&#xD;show all blocks</options></input><input type="%s" readonly="true" initial="1"><options>§_dynamicMenu</options></input><input type="%n" initial="1">0</input><input type="%n" initial="1">116</input><input type="%n" initial="1">143</input></inputs><script><block s="doDeclareVariables"><list><l>catNr</l></list></block><block s="doIf"><block s="reportVariadicEquals"><list><block var="selection"/><l>remove</l></list></block><script><block s="doSetVar"><l>catNr</l><block s="reportListIndex"><block var="catName"/><block s="reportGet"><l><option>categories</option></l></block></block></block><block s="doIf"><block s="reportVariadicGreaterThanOrEquals"><list><block var="catNr"/><l>11</l></list></block><script><custom-block s="remove all custom blocks in %s"><block var="catName"/></custom-block><block s="doRun"><block s="reportJSFunction"><list><l>name</l></list><l>var ide = this.parentThatIsA(IDE_Morph);&#xD;ide.deletePaletteCategory(name);</l></block><list><block var="catName"/></list></block></script><list><l><bool>true</bool></l><script><block s="doSayFor"><l>ERROR: unknown category!</l><l>2</l></block></script></list></block></script><list><block s="reportVariadicEquals"><list><block var="selection"/><l>create</l></list></block><script><block s="doRun"><block s="reportJSFunction"><list><l>name</l><l>r</l><l>g</l><l>b</l></list><l>var ide = this.parentThatIsA(IDE_Morph), color = new Color(r,g,b);&#xD;ide.addPaletteCategory(name,color);</l></block><list><l></l><block var="r"/><block var="g"/><block var="b"/></list></block></script><block s="reportVariadicEquals"><list><block var="selection"/><l>hide all blocks</l></list></block><script><block s="doRun"><block s="reportJSFunction"><list><l>selection</l><l>category</l></list><l>var ide = this.parentThatIsA(IDE_Morph), blocks = this.allPaletteBlocks(),i, operation;&#xD;i = 0;&#xD;while (i &lt; blocks.length){&#xD;  if(category === blocks[i].category) this.changeBlockVisibility(blocks[i],true,true);&#xD;  i++;&#xD;  } &#xD;ide.flushBlocksCache();&#xD;ide.refreshPalette();&#xD;ide.categories.refreshEmpty();</l></block><list><block var="selection"/><block var="catName"/></list></block></script><block s="reportVariadicEquals"><list><block var="selection"/><l>show all blocks</l></list></block><script><block s="doRun"><block s="reportJSFunction"><list><l>selection</l><l>category</l></list><l>var ide = this.parentThatIsA(IDE_Morph), blocks = this.allPaletteBlocks(),i, operation;&#xD;i = 0;&#xD;while (i &lt; blocks.length){&#xD;  if(category === blocks[i].category) this.changeBlockVisibility(blocks[i],false,true);&#xD;  i++;&#xD;  } &#xD;ide.flushBlocksCache();&#xD;ide.refreshPalette();&#xD;ide.categories.refreshEmpty();</l></block><list><block var="selection"/><block var="catName"/></list></block></script></list></block></script><scripts><script x="9.864908854166952" y="851.75"><block s="receiveSlotEvent"><l>catName</l><l><option>menu</option></l></block><block s="doReport"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportNot"><block s="reportListIsEmpty"><block s="reportKeep"><block s="reifyPredicate"><autolambda><block s="reportVariadicAnd"><list><block s="reportVariadicEquals"><list><block s="reportBlockAttribute"><l><option>category</option></l><block s="reifyReporter"><script></script><list></list></block></block><block s="reportListIndex"><block var="cat"/><block s="reportGet"><l><option>categories</option></l></block></block></list></block><block s="reportBlockAttribute"><l><option>custom?</option></l><block s="reifyReporter"><script></script><list></list></block></block></list></block></autolambda><list></list></block><block s="reportGet"><l><option>blocks</option></l></block></block></block></block></autolambda><list><l>cat</l></list></block><block s="reportGet"><l><option>categories</option></l></block></block></block></script></scripts></block-definition><block-definition s="%&apos;selection&apos; block %&apos;block&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%txt" readonly="true" initial="1">hide<options>hide&#xD;show</options></input><input type="%repRing" initial="1"></input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>selector</l><l>selection</l></list><l>var ide = this.parentThatIsA(IDE_Morph), blocks = this.allPaletteBlocks(),i, operation;&#xD;operation = selection === &apos;hide&apos;;&#xD;i = 0;&#xD;while (i &lt; blocks.length){&#xD;  if(selector === blocks[i].selector) this.changeBlockVisibility(blocks[i],operation,true);&#xD;  i++;&#xD;  } &#xD;ide.flushBlocksCache();&#xD;ide.refreshPalette();&#xD;ide.categories.refreshEmpty();</l></block><list><block s="reportBlockAttribute"><l><option>selector</option></l><block var="block"/></block><block var="selection"/></list></block></script></block-definition><block-definition s="Example: configure SciSnap! as a MathTool" type="command" category="0. My own blocks" space="true"><comment x="0" y="0" w="248.94856770833334" collapsed="false">A simple example for a SciSnap!-configuration: some categories are removed and some blocks are hidden.</comment><header></header><code></code><translations></translations><inputs></inputs><script><custom-block s="%txt category %s color %n %n %n"><l>remove</l><l>4. SQL tools</l><l>0</l><l>116</l><l>143</l></custom-block><custom-block s="%txt category %s color %n %n %n"><l>remove</l><l>6. ImagePad for image operations</l><l>0</l><l>116</l><l>143</l></custom-block><custom-block s="%txt category %s color %n %n %n"><l>remove</l><l>7. GraphPad for graph operations</l><l>0</l><l>116</l><l>143</l></custom-block><custom-block s="%txt category %s color %n %n %n"><l>remove</l><l>8. NNPad for neural networks</l><l>0</l><l>116</l><l>143</l></custom-block><custom-block s="%txt category %s color %n %n %n"><l>remove</l><l>9. GridPad for grid operations</l><l>0</l><l>116</l><l>143</l></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><script><block s="doDefineBlock"><l>block</l><l></l><block s="reifyReporter"><script></script><list></list></block></block></script><list></list></block></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><script><block s="doDeleteBlock"><block s="reifyReporter"><script></script><list></list></block></block></script><list></list></block></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><script><block s="doSetBlockAttribute"><l><option>label</option></l><block s="reifyReporter"><script></script><list></list></block><l></l></block></script><list></list></block></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><autolambda><block s="reportBlockAttribute"><l><option>definition</option></l><block s="reifyReporter"><script></script><list></list></block></block></autolambda><list></list></block></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><autolambda><block s="reportEnvironment"><l><option>script</option></l></block></autolambda><list></list></block></custom-block><custom-block s="%txt block %repRing"><l>hide</l><block s="reifyReporter"><script><block s="doSetSlot"><l></l><l></l></block></script><list></list></block></custom-block></script></block-definition></blocks><primitives><block-definition s="call %#1 %#2" type="reporter" category="control" selector="evaluate" primitive="evaluate"><header></header><code></code><translations></translations><inputs><input type="%repRing" readonly="true" irreplaceable="true"></input><input type="%mult%s" readonly="true" expand="with inputs"></input></inputs></block-definition></primitives><stage name="Stage" width="600" height="400" 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" id="68768"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="68769"><item><ref mediaID="Minecraft_Stage_cst_Untitled"></ref></item></list></costumes><sounds><list struct="atomic" id="68770"></list></sounds><variables></variables><blocks></blocks><scripts><script x="20" y="20"><block s="receiveGo"></block><custom-block s="reset"></custom-block><custom-block s="go home"></custom-block><custom-block s="set %s position to %n"><l>x</l><l>0.5</l></custom-block><custom-block s="set %s position to %n"><l>y</l><l>2</l></custom-block></script><script x="20" y="152.66666666666515"><block s="receiveMessage"><l>gen_terrain</l><list></list></block><block s="doBroadcast"><l>game_loaded</l><list></list></block><block s="doSwitchToCostume"><l>Untitled</l></block></script></scripts><sprites select="2"><sprite name="Player" idx="2" x="0" y="0" heading="270" scale="1.5" volume="100" pan="0" rotation="1" draggable="false" costume="0" color="80,80,80,1" pen="tip" id="68794"><wear><ref mediaID="2"></ref></wear><costumes><list id="68795"><item><ref 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mediaID="2"/><costume name="Untitled" center-x="300" center-y="200" 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" mediaID="Minecraft_Player_cst_Untitled"/><costume name="costume" center-x="300" center-y="200" 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cAQIECBAgQEBg+QECBAgQIECAQCwgsGJQcwQIECBAgAABgeUHCBAgQIAAAQKxgMCKQc0RIECAAAECBASWHyBAgAABAgQIxAICKwY1R4AAAQIECBAQWH6AAAECBAgQIBALCKwY1BwBAgQIECBAQGD5AQIECBAgQIBALCCwYlBzBAgQIECAAAGB5QcIECBAgAABArGAwIpBzREgQIAAAQIEBJYfIECAAAECBAjEAgIrBjVHgAABAgQIEBBYfoAAAQIECBAgEAsIrBjUHAECBAgQIEBAYPkBAgQIECBAgEAsILBiUHMECBAgQIAAAYHlBwgQIECAAAECsYDAikHNESBAgAABAgQElh8gQIAAAQIECMQCAisGNUeAAAECBAgQEFh+gAABAgQIECAQCwisGNQcAQIECBAgQEBg+QECBAgQIECAQCwgsGJQcwQIECBAgAABgeUHCBAgQIAAAQKxgMCKQc0RIECAAAECBASWHyBAgAABAgQIxAICKwY1R4AAAQIECBAQWH6AAAECBAgQIBALCKwY1BwBAgQIECBAQGD5AQIECBAgQIBALCCwYlBzBAgQIECAAAGB5QcIECBAgAABArGAwIpBzREgQIAAAQIEBJYfIECAAAECBAjEAgIrBjVHgAABAgQIEBBYfoAAAQIECBAgEAsIrBjUHAECBAgQIEBAYPkBAgQIECBAgEAsILBiUHMECBAgQIAAAYHlBwgQIECAAAECsYDAikHNESBAgAABAgQElh8gQIAAAQIECMQCAisGNUeAAAECBAgQEFh+gAABAgQIECAQCwisGNQcAQIECBAgQEBg+QECBAgQIECAQCwgsGJQcwQIECBAgAABgeUHCBAgQIAAAQKxgMCKQc0RIECAAAECBASWHyBAgAABAgQIxAICKwY1R4AAAQIECBAQWH6AAAECBAgQIBALCKwY1BwBAgQIECBAQGD5AQIECBAgQIBALCCwYlBzBAgQIECAAAGB5QcIECBAgAABArGAwIpBzREgQIAAAQIEBJYfIECAAAECBAjEAgIrBjVHgAABAgQIEBBYfoAAAQIECBAgEAsIrBjUHAECBAgQIEBAYPkBAgQIECBAgEAsILBiUHMECBAgQIAAAYHlBwgQIECAAAECsYDAikHNESBAgAABAgQElh8gQIAAAQIECMQCAisGNUeAAAECBAgQEFh+gAABAgQIECAQCwisGNQcAQIECBAgQEBg+QECBAgQIECAQCwgsGJQcwQIECBAgAABgeUHCBAgQIAAAQKxgMCKQc0RIECAAAECBASWHyBAgAABAgQIxAICKwY1R4AAAQIECBAQWH6AAAECBAgQIBALCKwY1BwBAgQIECBAQGD5AQIECBAgQIBALCCwYlBzBAgQIECAAAGB5QcIECBAgAABArGAwIpBzREgQIAAAQIEBJYfIECAAAECBAjEAgIrBjVHgAABAgQIEBBYfoAAAQIECBAgEAsIrBjUHAECBAgQIEBAYPkBAgQIECBAgEAsILBiUHMECBAgQIAAAYHlBwgQIECAAAECsYDAikHNESBAgAABAgQElh8gQIAAAQIECMQCAisGNUeAAAECBAgQEFh+gAABAgQIECAQCwisGNQcAQIECBAgQEBg+QECBAgQIECAQCwgsGJQcwQIECBAgAABgeUHCBAgQIAAAQKxgMCKQc0RIECAAAECBASWHyBAgAABAgQIxAICKwY1R4AAAQIECBAQWH6AAAECBAgQIBALCKwY1BwBAgQIECBAQGD5AQIECBAgQIBALCCwYlBzBAgQIECAAAGB5QcIECBAgAABArGAwIpBzREgQIAAAQIEBJYfIECAAAECBAjEAgIrBjVHgAABAgQIEHiQ3wGRibhsvwAAAABJRU5ErkJggg==" mediaID="Minecraft_SoundEngine_cst_costume"/><costume name="Untitled" center-x="300" center-y="200" 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IBQRWDGqOAAECBAgQICCw/AABAgQIECBAIBYQWDGoOQIECBAgQICAwPIDBAgQIECAAIFYQGDFoOYIECBAgAABAgLLDxAgQIAAAQIEYgGBFYOaI0CAAAECBAgILD9AgAABAgQIEIgFBFYMao4AAQIECBAgILD8AAECBAgQIEAgFhBYMag5AgQIECBAgIDA8gMECBAgQIAAgVhAYMWg5ggQIECAAAECAssPECBAgAABAgRiAYEVg5ojQIAAAQIECAgsP0CAAAECBAgQiAUEVgxqjgABAgQIECAgsPwAAQIECBAgQCAWEFgxqDkCBAgQIECAgMDyAwQIECBAgACBWEBgxaDmCBAgQIAAAQICyw8QIECAAAECBGIBgRWDmiNAgAABAgQICCw/QIAAAQIECBCIBQRWDGqOAAECBAgQICCw/AABAgQIECBAIBYQWDGoOQIECBAgQICAwPIDBAgQIECAAIFYQGDFoOYIECBAgAABAgLLDxAgQIAAAQIEYgGBFYOaI0CAAAECBAgILD9AgAABAgQIEIgFBFYMao4AAQIECBAgILD8AAECBAgQIEAgFhBYMag5AgQIECBAgIDA8gMECBAgQIAAgVhAYMWg5ggQIECAAAECAssPECBAgAABAgRiAYEVg5ojQIAAAQIECAgsP0CAAAECBAgQiAUEVgxqjgABAgQIECAgsPwAAQIECBAgQCAWEFgxqDkCBAgQIECAgMDyAwQIECBAgACBWEBgxaDmCBAgQIAAAQICyw8QIECAAAECBGIBgRWDmiNAgAABAgQICCw/QIAAAQIECBCIBQRWDGqOAAECBAgQICCw/AABAgQIECBAIBYQWDGoOQIECBAgQICAwPIDBAgQIECAAIFYQGDFoOYIECBAgAABAgLLDxAgQIAAAQIEYgGBFYOaI0CAAAECBAgILD9AgAABAgQIEIgFBFYMao4AAQIECBAgILD8AAECBAgQIEAgFhBYMag5AgQIECBAgIDA8gMECBAgQIAAgVhAYMWg5ggQIECAAAECAssPECBAgAABAgRiAYEVg5ojQIAAAQIECAgsP0CAAAECBAgQiAUEVgxqjgABAgQIECAgsPwAAQIECBAgQCAWEFgxqDkCBAgQIECAgMDyAwQIECBAgACBWEBgxaDmCBAgQIAAAQICyw8QIECAAAECBGIBgRWDmiNAgAABAgQICCw/QIAAAQIECBCIBQRWDGqOAAECBAgQICCw/AABAgQIECBAIBYQWDGoOQIECBAgQICAwPIDBAgQIECAAIFYQGDFoOYIECBAgAABAgLLDxAgQIAAAQIEYgGBFYOaI0CAAAECBAgILD9AgAABAgQIEIgFBFYMao4AAQIECBAgILD8AAECBAgQIEAgFhBYMag5AgQIECBAgIDA8gMECBAgQIAAgVhAYMWg5ggQIECAAAECAssPECBAgAABAgRiAYEVg5ojQIAAAQIECAgsP0CAAAECBAgQiAUEVgxqjgABAgQIECAgsPwAAQIECBAgQCAWEFgxqDkCBAgQIECAgMDyAwQIECBAgACBWEBgxaDmCBAgQIAAAQICyw8QIECAAAECBGIBgRWDmiNAgAABAgQICCw/QIAAAQIECBCIBQRWDGqOAAECBAgQICCw/AABAgQIECBAIBYQWDGoOQIECBAgQICAwPIDBAgQIECAAIFYQGDFoOYIECBAgAABAgLLDxAgQIAAAQIEYgGBFYOaI0CAAAECBAgILD9AgAABAgQIEIgFBFYMao4AAQIECBAgILD8AAECBAgQIEAgFhBYMag5AgQIECBAgIDA8gMECBAgQIAAgVhAYMWg5ggQIECAAAECAssPECBAgAABAgRiAYEVg5ojQIAAAQIECDzp4JAQPJO7IgAAAABJRU5ErkJggg==" mediaID="Minecraft_SoundEngine_cst_Untitled"/><sound name="C418 - Moog City 2" 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" mediaID="Minecraft_SoundEngine_snd_C418 - Moog City 2"/><costume name="Untitled" center-x="300" center-y="200" image="data:image/png;base64,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" mediaID="Minecraft_LogicUnit_cst_Untitled"/><costume name="costume" center-x="300" center-y="200" image="data:image/png;base64,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mediaID="Minecraft_VisualRaycasterTest_cst_costume"/><costume name="costume" center-x="300" center-y="3.5" image="data:image/png;base64,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" mediaID="Minecraft_Horizion_cst_costume"/><costume name="costume" center-x="300" center-y="200" image="data:image/png;base64,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" mediaID="Minecraft_Cursor_cst_costume"/><costume name="636465412680632924" center-x="128" center-y="128" image="data:image/png;base64,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" mediaID="Minecraft_Cursor_cst_636465412680632924"/><costume name="render" center-x="240" center-y="180" 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gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==" mediaID="12"/></media></snapdata>