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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="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="%&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="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="%&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_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="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 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="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="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="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="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="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="doDeclareVariables"><list><l>sortedData</l><l>countedValues</l><l>value</l><l>n</l></list></block><block s="doWarp"><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="doSetVar"><l>sortedData</l><block s="reportListAttribute"><l><option>sorted</option></l><block s="reportListAttribute"><l><option>flatten</option></l><block var="data"/></block></block></block><block s="doSetVar"><l>countedValues</l><block s="reportNewList"><list></list></block></block><block s="doSetVar"><l>value</l><block s="reportListItem"><l>1</l><block var="sortedData"/></block></block><block s="doSetVar"><l>n</l><l>0</l></block><block s="doForEach"><l>item</l><block var="sortedData"/><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="item"/><block var="value"/></list></block><script><block s="doChangeVar"><l>n</l><l>1</l></block></script><script><block s="doAddToList"><block s="reportNewList"><list><block var="value"/><block var="n"/></list></block><block var="countedValues"/></block><block s="doSetVar"><l>value</l><block var="item"/></block><block s="doSetVar"><l>n</l><l>1</l></block></script></block></script></block><block s="doAddToList"><block s="reportNewList"><list><block var="value"/><block var="n"/></list></block><block var="countedValues"/></block><block s="doReport"><block var="countedValues"/></block></script></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">Copy of corresponding Snap!-library-block: &#xD;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><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><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="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="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="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><scripts><script x="403" y="218.94999999999996"><custom-block s="clear %txt on %s"><l>costume</l><block var="target"/></custom-block><custom-block s="restore PlotPad content of %s"><block var="target"/></custom-block></script></scripts></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="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="doWarp"><script><block s="doForEach"><l>item</l><block var="theList"/><script><block s="doIfElse"><block s="reportIsA"><block var="item"/><l><option>list</option></l></block><script><block s="doIf"><custom-block s="list %l contains %s anywhere"><block var="item"/><block var="thisItem"/></custom-block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></block></script><list></list></block></script><script><block s="doIf"><block s="reportVariadicEquals"><list><block var="item"/><block var="thisItem"/></list></block><script><block s="doReport"><block s="reportBoolean"><l><bool>true</bool></l></block></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="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="doSayFor"><l>Hi!</l><l>2</l></block></script></block></script><scripts><script x="335" y="71.83333333333331"><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><l></l><l></l></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><scripts><script x="375.5" y="474"><block s="doReport"><block s="reportNewList"><list><l>1</l><l>1</l></list></block></block></script></scripts></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 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NGjGkcM3n6R5F9+v14akjSZk4NFVIppY9qw6OyNQHa2zb9uTyhrCDX43E2m4Cd+w0IDZFizlSV2/UzMgkwZ1oQCAF27K5Bg5dgs4bGBoVAyi4Xy1gsfeXu/93+7Kcnzuf6/Pjpbri1KiilypOH9ozRlxaNFATPfkC1UoSyCivWbqrCP5urUFhk9kk8wuJiHfFDRnwv1ghLCSHevZ8+Qgip1YaE/W/m5Te8Nn3RNWmxSf28HtNo5LBtdx0ajdRDvUBYkICZk7UYNTwQKqX3WXBjQ526sqxsUWlR+d3fffxcSntdox8/3QG3ArL179X962v0E6pKS6TeKqmqsWHHnhps2VmNSr0dPsymQqvTCrF9kn+WsHg3Pn5au29wTQixytRB38xYcM1/Z152/cmIuD4ey1MKVOpt2LSjwWP7CQEiginmztBhxNBAyOXeRaShujqoNCfv8qqc7Fu3Lfsopr2v1Y+frsKlgFBKmcNbVg1vqKue4G1/FwBoaOBQ52OyYgCQq1Q0JDz+1+CwlDcW3/G0TzMubYEQ4lDqdCvGTlvw9szLri1SaQI9lrdYeBw42gCLxVu9QGw4MH+mDsMGB0Aq9b6pTX1tVVjuybRrjuQdu3Ljqh+9brrlx09PwOUvv66uTl1fXtKnqrgkqL1PqFCpaXhMn+9iBk148aYn/5XR0VOchBBzYHj48lFT5v932uIrHZ62A6YAag121Bq8x38RAsRHElwyNwQjhmggkXgXkZqqqpjsAwfvPnlox5Xbty8P6cjr9uOnM3D9q6+r07AKWajD3r65coK0oVxEbOxP/YZM+e8dTvHolCArQohJpSMrho2d9kt4bLzHsmYLj10HjT7tq3taRC6eFYwhAwMgEnmfra3WlyVl7d9z19F/tl585MiWwM64fj9+OgqXAiJoNDw42q4LwkJioozhfeK+iksZ+vpNT/brNPE4jUqVWKsMkn0xetJsj9flcFDkFVjh4HwL3SAESIhlsGB2MFKSVGBZL8dRihp95cCMIwceOLj8h1mU5ss6sx/8+GlPXE7P6nS6WjNvL5IpAuxWc4OktZWeDWEYRMUlZUX0jV8eO2jcN1dcf09eV0RmEkK4xpycjKi+KdtAyExPJobVxsPBUUi8x4wBcC6+S+7DYuHcEDgcFNl5ni0YKggwVJcNTz3JPPrVM//VU0p3+9fN+OmJuLRACCEWbXDIVmWAcuv5VK5SaBxRcQmr+w0b+9LgGbM/uPKGe3O6MqxblZjYyFkdq6QyucdyHEdbnWqRIcCQFDEWzg1GfIzCa3me41BbVT7uZN7Jpz948vbhdPnydtun2I+fzsJtgNjYwTMPEzv/CUsRqK+qGEN9cQrAaXGERUXaNUGhOwQea+P7TVp32/Dh2WTuRd0h+TBvt9ZUi0QsPDWmtTvfnYZhgJGDpBCEEPy+pgqFJZ6ncxw2G6rLi2dJJBL6SeqW5yilhztqRsqPn47ArYBMv+UW65aVX20VK6W8tCD/DkNVxexGg6HFeF0kFkOjC0FoZIxVpdWlChbzdl4QsvokDT0+c+y0kyGTJjXe3tVXeYq8vDw5Iw+YZPUyTysWMz45RF3BMMDoITLY7SFYsboSVdWeddPaaGYrC0tmKFWBT3731qsvAvBHq/rpMXgMUZ+++BZDfn7+hk3fvVGSxZJVwXGxkXKxMoQVswqeoxwFV+8AVydjlPWJMXGNIckDS2KHTMhOTk7WE0K6VX5QSinZ9c/34fnHDy/iOfd+VEKce9mIWALnxG7rYU6lATCadPhznd7rtLCpsU5Smpk+X6kOrP/zhx/+u/C667K7ur/8+PEFr8v5+/TpYwVwhFKaCiAg79BGVWW1WaJSsoJIHm7pP3KkCYAFANedze+6vLwAsTjgtmP7d0V5KieVMkhOVEDEnt+lsAwwbYIaFXoOu/fXek3SXFtXrco8duAyhTqwbsuW5f+bPv3Kiq7uMz9+vOHz3rinltjXnnr1KCiloqM7tgzavX7NLYbqKo9l1SoRJoxStskHci4yCTBvRhA4TsDeg3VeUyPWVVUEHd254aaAwKCqhoNbvg4YNb26q/vOjx9PtHlz7Z7EoUOHQvRl2S+k7tsa7KkcwxCE6qQIUInQ1uHL2RAChOso5s3QwWrjcfBovdc0AHX6ytA9G1bdw7DQU0pXEkIaurr//PhxR68XEL1er64sLLx9x7rfp5gaPN+LahWL8aM0kIjbbyRGCBAdBlw0OwRWq4BjJxo8bqhFKUV1WXGfw5vWPcnYUUMp3UgI8W/k7adb0qsFhFLK5qYdmbRtzbd3Fpw44TEsjGGAsBApJoxun+HL2RAC9IkiWDg3GI1GDjn5Jo9Z2nieR2lJfn/Rwa0vWd+x1J8KNPPnVvXT7fC+AqyHQiklhYWZsSf3bn3lyLb10Z5mXgCn72PKeC3kXpMXtA1ntKoIi+aFIiZS7rW8w25DaUHOsPL87Fd++/ztvv60iH66I71WQIzG3JDqkoJvN/7x4/BGQ53HsiIRQXysApPGqNrd+jgbhgDDB0pw6UUhiAz3rlQWkwkZJw5NaDDo//fXj5/08eEUfvx0Kr1SQAyFhdrqItPSPz7/cHxVabHX8jqtBPNmBEPajr4PdzAMMHaYHBfNCkZwkPfFNiZDA7tv49/T7Tbzc7t3/xnlwyn8+Ok0ep2A1NbWakzE8cnyT1+ek5d2mPU2mSKTMpg6UYuh/cQdan2cDcMAk8eoMWakFkof0iIaqqtkW1b/cpmxuuGuhoaGYB9O4cdPp9CrBIRSquHtlk9/fPeVhan790p5L9nUGAaIjpJj3lSN22zsHYVETDFnWhAG9/cto5m+qESz4fsv7ji04+9L9Xq9unNb68ePa3rNLAylVFZXXvLLstefmZq6b6vMYfceSR+sk+LqxeGQd0FGDmeCZorLF4bCahNwIr3BY0pISgWU5GWFb/r56xdhtlVQStf5UwD46Wp6hYBQSpXmhrrfv3z9iamp+3dJfRGPAJUIi+eHYkCSqNOGLudCCBAVCly+IBQWM4/sPBMED6ueBZ5HQVZaxOF9m9/XRogXUkrT/bve+elKenwOCkppaG1V5T8fvXDf+BP7dkt9ScMolzG4aFYw5k1Td/rQ5VwIAQI1BLogOQqKrWho9DzdLPA8aqsqAoOC+4yusdJ/vv76a3+kqp8uo0f7QCil/Ytz0zd/8uw9o07u3S3xRTwkEoLBAwJw8czALheP0zAEGNxPjEXzQhAa7D0BnMVkJFtXrRgh1JW+Qw9v9ydn9tNldJNbqPVQSmel7t6y8pN/3T8w7dg+lnN4H7awDEFyogpXXRoG6Xklamx/GAJMGCnH3Bk6nzasqqkuF636+v35R83Wh2trczVd3X4/FyY9LrqRUsoAeGrdz0v/b+WyD6Lra6rgS7Y0hgH6xClx7y0xiAihXeb38IbdQfDZ91U4eNTgdeEdIQSJKQOM1z304sNmVvbNqFGj/E5VP51Kj7JAKKUyh9X047LXnnj0ty/eiTJUV/osHvGxStx1Y3S3Fg8AEIsorlgYhr6J3jO8U0qRn52p+ueXpW9ERoYOPSWufvx0Gj3GiUopja/Mz/7rkxcfmHJ4x2a1qaHeJxlgGCAhXom7b4pGTHjbcp12JoQASjlFTJQKeQUWGBo8GxWUCtCXF8s1cvX8OAmz/JVPl/qdqn46jR7xxKKUXrrtzx83vPPYnSNS9++VWUxGn2SAECAlUYX/uyka0WHdXzzObnefaIIrF4UjLMT7mhm7zYbVP30efbSqcmXh8eParm6/nwuHbn1LUUolNmPDe9+8//wVe9auCbKYTcSnLePgtDwG9Q/AXTdGIyiA7zHi0fz6gR37LfhuRZnXlIgAEBSiEx558+u/k4aMvoYQYuzq9vvp/XTb24pSmpS6b8vPKz5+bWB+VqbUYbP53FaWJZgwOgjXXxGOAAXXI8XjNBxP8OWP1dhzsBZWm/eYscjEBMfj73/7dkRE0n8IId1hKw0/vZhud2tRShmr1XDzzx+99p896/+JbKjRM1QQfG6nRMLg+iXhmD4pACKmeztMfesPoK6RxSdflyA9q9FjuDvgnJkZMnac7dbn3rklPKrPT13dfj+9m251e1FKA9P3bf30p0/fmpOfcSLQYbO2qn0atQh33RiNYYOkYLrVlZ1vvwAllcCHS4tQVGrxOopjWBazL7vGdMvTb40ghGR1dfv99F66zW3msFhmrPjyrXd3rvmjX52+XCQIfKvaNqifEg/eEQ2Vouc4S1sDpUCtQcAHy0qRkW32Wl4kEuP2J16rnnb59UmEkPqubr+f3kmX32qUUkl+1rH/fffu8zdkHz4S4MtCuLMJ0Ylx05VhGDFE2Warg1KAFxg4OAF2G4XFJsBmE0Cpc58YuYyBVEoglaDLLRtDPY+3PilBToH3PMsisRjPfrq8sP/w8cndbaMvP72DLr0dKKXJf3//yVfrln8xrrK0nPF1huU00VFSPPtADLSa1oezUArYOYKaOgf+XF+LvYcaYLF4zh+SFC/DonnBiI2WISSI7bK1NOk5Vrz2fjHsdu9OVXWgFq/9+M/a4PC4Bf6Vu37amy4REEopqS4vv+PH95599uju7bFmY+tnHIcOUuGxu6MgbmVCAkoBiw34Z7MBazfX+DQ96op+SQpcf3ko+sRIwXZyOJ5AgaU/VGH7HoPHLSJOE52QhFe/X/+aVK58pnNb6qe30+kCQimVb1vz00d/f/vZ5cX52WqBb91uBYQASxaE47L5rcsiRing4Ag27WjAij8rYba0zy4JwwapcMMVYYgIFXXq8IYXgHc+K8fh4w0QfDDcRkyZiSfe/WERIWR157XST2+n037yBw9+JlaR/v3X/vL1++n7dk6ub6hv1QCAZQnCw6S4/doo9Ev0PQkQpc5YiuwCB779pQwFxZZ2vzaxmGDqBC2uWBgMpZwFywid4si1O4C3PilFarrRp9Hfxdfd3njJTfdODwyJPNTxrfNzIdApAvLVV1/JEmMUl/+z7LNnC3Oz+3GtdJRKJQwumRuKhXMCIRb5FttBKSBQBnWNBOs212LdliqffAbnQ1SEDPNnhWLMcDXU8s4JYDOZKd74qARZud5nZqQyOb35iZdqp196/TBCSEnHt85Pb6fDf+I733hDXcpYH9+17Y87K0vLwlpzLMMAOp0Et1wVheEDJa2yOsx2CaqqOXz7SzHSszovqlsTIMbsaSGYOSUQgcrOCaEvKLHj328Wel3+DwCBwYHCg699mR6ROHCSVqs1dFrH+OmVdNjPm1JKtm79XLdzxYZ3ik+mXVbfUKNozfFiMcH0iVpcfWkI5FLfYzsoBUw2MTJzLVj2QzFqajt/9lKlZDF7WgjmzdB1Sig9pcCPK2uxdnO110hVEILQiGjHUx/8tC6yT9JVhBDvposfP27okJ/28uXL2UGMI+Hr5Z+/VVWUv8Bis/ns7yAECFCLcP2SSEwcI2+VY5JSwGgV48DRRnz7SzGs1rYNWRiGAWEYAASUCqCC4FPekbMJUIuwaH44Jo/TdMpwRhCAj76pxJ4DBo/77p6+vsQhw2yPvb3sA402/GlCSNumovxc8LT7z3rLV1/JKkxlE3evXflCdWXZxNbMsshkDPomqHD1pWFIiGFafdPZHQRrNzdgxZ/l3p/EZ8GwLCRSGZVKFBxkIkNwSIglLDJWkMokqC6rIjX6IonRaA2wm00Km9VCqLc79BS6IDEunhOGSWM6R0Q4Hnjvi3IcOuZ9ZoZlRRg1ZYbl+of+c19ITMJ3/i0i/LSFdv1JH/zsM0W6qXLB3k0rn64uLx/ma2AYywABAc6kwtMnBEAibv0iOEEANmxvxDfLy7w+gc9cPYFcoUBEQoIjecCY2sHjJqT3Hz39PYVCsRVAPSGEUkplAPplHd13x96Nay89tnu9Vl9RLrdbfZvNiQyXYcHcMEwZI4eI7fitM212itc/KEG6L+HuYgkWXHdn5bTLrr86PDp+uz/QzE9raTcB+fbNN5V2R8Vlx7ZteKaqqrKfr8dJJAziY+W4dnE4khPaFkshCMDaLQ34bkW5z8cwLIvgsBBh5IRZxkvvevqwRqd7DcAmQohLk4lSyjgcjuGZR3c9vOOP5Rcd2rMl0FRfTyj1fs8lJShx9aXhGNC3c2JFGowCXv+gGHmF3sPd1YFB9Pr7Hy8dNG7enODIyPSOb52f3kS7/JyXL1+uqs/Yee3xA7seriop8Uk8CAEUchZzpwfjkjlaSCVtW3ovCMBfGxvww+++i4dEJqcxyX25+Vfdlj9p/lU/A3iNEOL9boNzxXBNWf4Nu9f/+eyGP34Kri4pZAUfTJ6RQzRYsjAMfaJJp8zMZOfb8OLbhXD4MJTTRcXwtz3xWtqIAcPnk+Dg0o5vnZ/ewnn/lNf88LG2OP3EzemH991bWV6S6MsxIhFBRJgMly8IxeihsjavKeEFYM2Gevy0ssK3iyUEQaEhwpBRUxoX3Prgzqg+fZ8hhBxv7XkppSKLsf6yPZv+eu6f5Z/3K8nKFnvz9bAMweRxQbj04lCEBXV8oNnpmZm/N1WD9xLuThgGUfFx9tuffmNbv5FTbiKE+K7Gfi5ozms52IblyzX60sLr047vv8dX8ZBKGPTrq8YdN0Rj9LC2icfp9Sy//WXwXTwYBrrIGH7K/CuKbnvqja+j+vS9qi3iAQCEEE6u0vw6bvalz8269JbjEQl9HIyXC+EFin1HDNh7qB4OruNNEEKAay4NwvjRGq9iRQUB5UXFku/fe3VCXvrhJymlgR3eQD+9gjYLyMGDBxXV+sLLT+7efndVcXGSL8co5CxmTQ3CI3dGoG8c0zZ/BwWKyoH3l1bg978qfbtIhkVkVB9u9pJr0q564F8vipTKhwkhpvPpOEKIoFAo1kyaMu/F6ZdckxoeGccRL3eqxcJjx55anMy2+7R+5XxhGODu68MwbJDKa1me41CYla5cvfTdq4uyT9xEKZV3fAv99HTaJCCUUnFZxv6phzavuaukuGCAL8eoVSJcMjcE11yqg0Le+qQ/lAJWO8HRNDve+bwQR0/4liOHYVkandDHPvuqG/ctuvnhewkhXxFC2uX2JYQIirCwNZPnXPralEWXZQcE6bzWW1puxaZtNSgqo63NXtAmRCLgwdsjkZLkXQ8cdhtOHNoXtvX37x+pykqfRyntFZuv++k4Wv0DoZSSQ79/NXjvulV3VpTmj/YlJkITIMJlF4dh1iRVm5a+CxQoqQDWbanGzn21PoVsAwDDMDSuT1/LnGtv3Tn90htvJ4QUt3cHEkIESumqgcMnqvWVFa/s+Wd1hNnY6PGYY2kNiImWIyI0EFJxx6uITErw6F3ReOX9IhQWe86zbGyox+5Nf8cGBIe+OZoRV1BK97aX4PrpfbRaQHb+9VefXVvXPVhTXnqpw+Y96XdIsARXLAzDxNEKsK20dwQKWKzAoVQLfv2zEvpqm89PbVYkojFJA+sW3X7P7+NmLHq4I7c5IIQ4KKXL9fqyUGNd7SNHd20NtXmIE3E4KHbtr0NSvBzDB0k6ZWo3QM3gjusi8Mq7RbB4idA1VFdhy6rv+ygCg7+QKpU3AzjY8S3seCilBICurqQksrg0RxGiDKiPGDSilBDi34yrjbRKQPR6vXrLii+uN+hrFhlq9F7LB2nFuGJhOCaNlrfKWSpQwGoD0rLt+GdzNTKzTXBwvsc4ycRiIToxpfyqex9fMXjirCc6I8qSEGKilP5iNtRFNxjqbs46dlDFc+4jxKv0NmzbY0B4WBgiO2m7zbhoGcaMCMTuA3VwODwrcVVZBbPh50/7agMC366vr79do9Fkd3wLOw5Kqfivr94fTQQyQxQQcKnDbIwqpHyq/o/vVv33viuPPv7BL0fP1y92IdIqAUk7sHV82sH9c4ty0rzuBh+gdvo8JvogHqdzdnA8BccB2QV2bN5ZhxNpDT7thXI2UqWMj43vm3Pdc68tS0kZ9VZnRlcSQgoopb8YTaZkg6FmZnlutscBW2p6AwakqBAapIRY1PGjBBFLceWicNQ38kg9WQ/eQ89QQUBZQZHkt28+HHmNUvUMpfQ5QkiPjBGhlLKfvHj/LEEgnx/b9Hdkg8l4+hcZDmB2fL8hte8+esvjW377bf30JUv8aQ5agc8Cotfr1cteeWB+VXnhBN5LzINcxmD8KC2mjle7HLYIFOA4Al6g4HmgvEpAQYkNeflm5BSYUF5pA9cKi+M0Sm0AHx2VdPi+N5e+HRoe9UsX9emuoVNmfV9bVZVQX1mZZDa6t44tFh679tUiPlaKlHi2w60QQoCgAB43XBGOT40csgtMgAfd4nkOpTkZyjXff3yRUiIro5T+jxBS00X92ma+e+v5UblHDn5bWlSgOzWMaUZBxvGg4uyTX4rksg+P71jzzpDJC/K6us09BZ8FZM+WP0cYKmvG11SUeSwnFhOMGKrBpPFB4KgYNjvXJBQ8T8ELFNn5duQVWlGpt0FfbUdltQ1mM39esxIh4dGO6L59/77v1aX/VqlUx7qqQ0+tn/m9bNjw8MrizCdPHNiv4zn3I6jsPBO27KxDgCoEEcEdP5QhBIgMAW6+OhKff1+CQi8Z2hx2O3JSj4X++dPnN82wW2oppZ8TQhp9PF2Xs2XL8vD1S5e9U1ZWqHUlHqfheR7716+9SyJRhFFK7yeE+BYjcIHjk4BQStlX7718hMlQN9JbWamUgUYtRnmFDbkFZtTV2VFncKDW4EBdPYf6egdMZq7dpjAZhkV4bHzl0NGTt9z09Ov3E0Kqu7ZLm/wha0pyMsdVVpQurMgvEHsqf/CIAX1iFQiZ2DlDGUKAhFgG114WgaXfl0Bf4zlnisXUiLQj+6PkAep7xGJJJaV0eU/YJoJSSj549rYbSrPS+wuc4HX+z85ZxXs2rVwYEB6WSil91d26KD9n8NUCUZoqDNrq6jKv5Y1GHms3VQHUo3XcLsiVSuiCIw8tvu2B1RMvvuL1bvajzpg4Y+7KipLC/oZKfX+r2b1/zmTmsf9QHfr2kSMhpnPWyhACDEyWYPa0EKxZX4mGRs8pQRoNtTi+Z0eCRhf8rEapKaeUbunuq3c3rf4p9Nj+XXfbeZtXn91prEar7PDa1Y9Hxyf/DcCfO9YLPglIdXW1isrFGk+zCmfT0QFSDMNAFx5Zp9IG7n3yna/f0IbEbOvwnmolp4Yyq2ITtvavKS+MyDl5ItDTorusPBMOpzYiOkLTKbEhAMAyFFPGB8JQ78CWnTWwWD0/cGurKnBg01/JAdqwf2vVqgZK6cHuHCOSn37wMqvJ4nHoci6UCqgoKZal79vxNKX0an+yJc/4NLkaHEyITCEjpKt2UjoFYRjowqIdIVGxeyfNXfzVa99tvKY7ikdTewlpnHn1XauTBo/aHxIZ7vFpzXEU+w8bkFvo6JQIVWf7AI2Sw0WzgzFymAZisff7rLy4hNnzz6+jDx7e/S/A3r9zWtp6KKXS7EP7b6WUU7f2WLtgFx/ctm7OsWPHBnf1dXR3fBzC6BpEalWtOlCLhtrOd8KLxGKERSfYKCPsGThiVOYli27+LGTA0OM9YYwaEBBwYPi0eb83VFf3bajb3Mdich/PVlxqwZ4DDUiI1UEm6RwVIQTQBfC4fGEoHA4BB48a4GmSjQoC8jMzZBt//WEqR8nTVqv1JZlM1u028M46srNfWVlRJG/jWx+OTyksDUbZyW1/PEYpvb47W1ldja+da4xOjEs3V5YVNtTWxHVW49SBWgQEBxdRXkgdPm1K0dSLb/kqJiHhSE8yK0+Fuq8uz80aUVNZcmP68SMyTybGkdR6jBsdgP6JnbdRFSFAWBDFZQvC0NDIISPb8z4zPMchPzstgP3jhzkisbjy1PRume9n7Hgy9m1fQniRCvAeLe0Kh2AXH9+z8+JFt5nCAPi25PsCxCcBIYTQgoK07dXFld9rqitvbaiujfA1L2hrkMrkCAgO5SWsKN9sNmaFxMbUTpmxcP+QmYv/Dg0NzW8Pp92p8bC8oiAjtKQ8J7Q2R6+Czs4FhycZUoISq5Tx8bXt7YwlhJTXVVf/U1KQO7qkIG94Y73BbdnqWjv2HKhHYowOMmm7d7GHNgIx4cDlC8Pw3QoBBUWeUyI67Dbk52SEilYtvxyCUHFqerdbhIRTStnX7rtyIWU5ZZvrEASUFmZK0g9tvRjAl119Td0Vn827+PgB5cd2rv1ObLHZM3NSF5uMDf0sDSZZW08skcmhVAcgIFBrBWULLebGYolMUhObNMDYf/iovVPmL94qDQgpct7Md5/3hVJKiaGgQLP1128n7drwZ5JMLuvLSiTJnMMWzIOxScQHStbZ7dksdRSu/+nD7NlX33uEEFLbXh0dqNNtSB45ZmxxbkbfzMP7VJ4cqoeP1WPcCA0GJHfudpkMAfoniXD5glB8/2s5Kqo8P72tZjPyslLjxBuld4ik6hJK6UpCSNse+e1LcElOho6zOs5r12IBguTknq3XU0q/7gnD5a6gVePDoZPmZ1JK/7fsjccOpB3ZP80sMfRhZZJEYucTGs2NGpvZTJpuDELAsiykcgWUqgCoA9VWViLVU46WOiz2CiIV14UGh5qj+/Wtj0kacnT8+NknoVKVADA6LY272u0iKaWigqNHB21e/d3V1XUVVxVkpca7sALGMiwLnS6cs9u4zPT9+/9cs/TNnRff9ti29liIRwgxUkrX5KUemlpVUjjOU0BercGB7XvrkBjv3BOnM2EIMGKQFDZ7GH5aWYFqLzEipoZ65Jw4kqzQaJ6Qsg4rpfTPrr7Z8k/sG2o2mWWerGSRiCAhToGsXPfT64KNZ4/s35G0yGCIAVDQldfUXWm1g+nUzbSWUrpp7drPYyoysgfVFuYNLi0qDq6pEhjKCQwhLBFLAcpIqVYbJIRExgkRsYmmmNi40si+iXkpESmFiIioAtDY0bEbBw8eFO//Z8Wo7Rv+frQsP2tJWUGu27ICz0NfVSrS68sGarQhyUZT47ySooeXVaYe/Dts8KjcVpzWHfuHjJm+pSQ7K9lQrQ/yFKF6PK0R2fmBGJQi7lQrBHAmIho9VIEKfTDWb65CvZcYkYa6WmQeOzxEpVA/oooIajgVI9Jljsf8tCNzKCt43MhMp5Vg3sxQZOXmuy1DKYWhSq8sPLp7HoBPu+p6ujNtThhz6sbPPfVadcq3wMI5NczAGUcmnH510Q+KVJ04FHtwz/qnc04cXmgz+7gJG6Wor60SpzUahoVGlz29krMmbvzxi2Wzrr2jTSkQz+4zSumq9MO7J1QUF0ytKi1yW9ZQ78DeQw3o20fX6VYIAIhFFNMmBMJs5rB5R7XXFAD6kgL22F7xGLla/bBCFt0I4EDnt9o5VP3qlcfGsg54zKA0fJAKo4ZIkZIoR2au+3B+RmBURw9sv5xS+pl/NqYl7RbYQQihhBCOEGInhFgJITZCiIMQwndVx3/11VfSQ3v+uSvzyH7fxeMsOIcdZQWFEQf37Lzp4M6Nj3788v3jWhOU5IbDQ6fM2xaZkKgXiT1GuOPYyQbkF7df2H9rOL3wbs40HUYMC/QeI0KBipJc6eFtmyYf2rLy3qri4r6d32oAgKK4MCfAznMef9uTxwVAIqJYND/YY2U2h0WcfmhvXwDaLrqebk3XRoZ1IJRSEiyRxJQWZd/NOc5jlEQpGg36wOzUo4uLTpx46uWHb5i6fPnyNjvnCCGOAUNHr4rvOyhVFxbpsWxNrR0HjzV2ShJm120FQoMELJgdjMEDArxmk6OCgJKCbM3+TWvnHd608nqTXh/p25nalbCaijKJt6hpjdppfMdEejbveI5DdWmJtCDnxJAuuJZuT6/Nebl27VqJYCu7vK5C3+pIRFcYjQY1X+KYpzY2BAlG/duU0r/OIx7l+PCJ87aWZGYMqq4oC/XkCzl8rB5Tx2kRG9n6PLLtASFAXCTBZReFgucpjp9s8BojUpSXFbZz05obLDZLA6X0q/aczfJGfX19kt1olHma5SIMoJA7n526QBYJ8TLkFbjfFohjBFXavl1XANjaWdfRU+i1AgKslWal1t3UnjVaTCYpdQjjBAf39Iu3XypQSte1xQlMCOEopX8e6ps8NT/n5MyaSvczMpV6G06kmxARpoKkE1bquoI5tXr3knkhsFoFZOZ4npTi7HYU5+X0EYlFtxLK1FJKfyaE+LYX6HlSXpwxhCdij/EfKqUIIhEBQMEwwIJZOry/1H2uJMYhyHPSDkyhlLJdPcPU3ei1Q5jSI+Hy4tzMFE9lWBYIChRDGyj2+elutVvEhsbaUfqq4qdfv+/KiymlbXVxnhwzYea+4Ji4esbD2IBS4MBRA6rrWi5SFERB4OUp4OUpOH/XjGcYAvRPEGHR/BBER3oP/7GaTSjOyx2Qfmz/vat/+WB+Z2V4L8vOHCthGI/7WAQHSZp931Hhnr9Cq8PBFKWlagB4dphcgPRKAaGUktiYGEVtleecMGqVGBfNDsXCuWGYMCYIWo3Yp/o5i5016qvHVhQVPP3ZYzctbMseKoQQR9KoCX/FxCTmqAM9++fyiszIK7CBF8786gVREGjSqyADPwUZ+Cm4kMs7XkQYYFh/CS6ZG4IQncRreWO9AcX56cPzDx5+cOuqH6e1gwPaI5RSUlWUH28X7B4VLixY0mxPRl2Q5weIwPMwVFdLjPW5Azuy/T2RXikgAOBQ2WTessarlCymjA/EnKlq3H5tCK69PAL9+qrAsN5/5xabjanRV47Kys1+/oNn772KUtqWsOlDY6fPOxweHm309Au22wUcOmZAM7+gdhqI6oyBxcbfA8HFiFSQRINXDoYgiW6XfmUYYOxwJWZMDoY20Lvg1lTqmYyTh8dlHN7zWNreLWPapRHukZQX5YoddpvHLzA8VNpsT1eFHEjq4/kZwLEi5ZGdhxZ2cPt7HL1WQCQWBUeI58ujFJCJeYgYAXIpMHGkHFcuCsPo4YGQSr13jcNmI9WV5YOKc9Me/fL1R6+ilCq8HnQWhBBb8ugxKwPDo3KVKs++3rRMIwrLPU/pCuHXNrNCBEk0kPw6SP/3geTXIUgi2qdvxRQTx2gwaWwQlErvE1J1FZWSzKMHJhzes+OOwuyTHfkUV5SXFrPeZt3CQmU42wRhCDB/RpDnmiknz884OrmjraieRq8UEEIIbZSZLXK15y0dHZwAm/2Mt55hgH6JIiyeH+rzzWGzWkhVadHAwoz0R9Z8+t/FrRURqTRg59AJk7NCwyI8/urrGx04dNQIu4cpXTbm5uZWSMh8QBbl/L8sCgia0U79C4RoBUyfpMX4UUE+iW1FaZH65P5tC/at//N6SmlsuzSkJdp6fY2Ic3ieHAsLlbbYVj5E59ma4m0OtiDrZAiANi/Q6430SgEBgOr8emtYZIzHMnabgEZjc6c6Q4C4SOCiWcGYPE4HlQ8iYjWZSFlB7sCMzOOPbV/zY6tEhBDSOHTk5L+UupBCsdSzM+9oaj30tRS8wICzVIM6WuY2PtcKORsaNKvdrBBCgIhgitnTgjBqmAasl2EfFQSU5GeHHTuw9eqVX7x7OaVU1y4NOYu6orxIzm6TUHrmobD49odxwyMv4IZHXoBYKoNEwiA0WAT2nIXdQV6GYxzHoaqgWAQgqr3b3ZPptdO4MQMK7fba5KL8jJNun3ZWu4BagwORYc27wZm5nGLOtCAAFDv21sJk8jx7Z2yoR15a6rDAQO1jMl0gpZT+QQjxKfxVF5u4NmnA4KurSgqTqkqL3d6JZRVWZGRboFRqIOUPgOXNgLj50IeNuRkcAKbiexDt1ObXpYh3WiEVP7RLH59OATB/RjAaG3mkpnuOEXHY7SjNyY6XSRS3y2Wy09O7Vt/P6JnsgpxEwjBNDtTFtz+Mi6+/G4pTw0ORRIKN37+OAKXQwuWkUrIQiQg4zvUFUEGA0WSSVhafGAYgs73a3NPptRaIvHKEPTZ5wJ+eytjtAjbtqIfg4jdz+gk7b4YO0ycGQ6HwbonU6itxdN+uYem7dz+bcXTvla2YndEPnXHxeo1GV8J4SBvJ8RQHjxpgPCVmjsKloI6Wm4yzMTfDRrVnhi8dSFOMyPwQ9Our8lreYjKiIOtk/6zjBx/dt/HXue05vVtZmD0SEtrUiGmXXN0kHgAw+/KbcO2jb8BVH0vEFP2SPBuOjFhQph89OrvDO7UH0WsFBPHxXHhc9D+eYiwEAcjJt6DR6PqpczpT18zJzrG+TOa9u6orynB05+b+Jw/ufaw0P3MBpdRr0AQhhPYfOGp1eExsrjrQszMvO88EfbUNgkAh1O6CI+9DlyLCwAF67HrA2vbN5ASw4FUjwatGQhCFuC3HEGBAoggLZgcjPsa7ZhrrDchOOzgg48iRR1OPbJ1GKT3v3yGllFSXFA1hOdajCgydfAlcOdcJAWZNCfR4DsYhSIoz0wa0R3t7C722I6ZNm8Yb9MaTIRGel2OYLTxqDe5DyQkBwoMp5kwPwtgRWkjEPjgMiwrI/o2rB2QePfiUoarqIh+DzQpGTp17JEAbYvBUyGTmkZbZCPsp569QuwvgW44CxMQM1lEK1DXPOU2DZkGQevdhCmDBR98P0u8tkH5vgSY+71lEGGD4QCkunu1bjIi+vII5uX/r2MwD+x8qzckZ60P/eEOirygKtHPWNls0Oq1nP4iNczCF2ekq+B2pTfRaASGE0Pq8k7UJg4bleCpntQnYstP1MOZMXUBsODB3hg4jh/rgMKQCinMzya71fwxLP773abO5cT6l1ONdRQjhU0ZOWanSaHIkXpypx042wGLlQT05HAKGuz6PIh7QTvbaf5TIwYYvOnOcepBPIjJ6mAITxwRB6cOQryQ/X3J06/qpx/ZtuMdoNA71eoBngutra8Scj1uPuCJQ41l7OI5DVXmxGM49df2gFwsIAFzx5EhLTEKKR48hz1OczDKjvsHzOhNCgPgoggWzgzFisMZr6LvA88g8vJfZ+ufPIzIP73mBt9sv9SYi2pCQA4PHTMzVakM93gXlFTYUFFrcOvwAgAScuh/Lf2gxjKFBsyDIklrdn0Q9CFC53+lAIDKwfe7HzFvfxbRLrvFqrQmCgPycDNXuTasW7lrz0z2U0gGtbtQZhnCUVwpecvUajr0KUNdllArWYxAhFQTYLFaFobjAH5F6il4tIMAVHC/wG4NCwzyWMjQ4UFntPZUnQ4A+sQzmz9IhOdG7w5BzOJBxcA+zdc2KQbkn9z8Lnr+UUurWTiaEWAdPmbparJCUEi/O1COp9U0xLI6890F515MZjGBuMYwhingg0POogRFM4HLe8LmnBSKDEP8M2IjF0PWZgjnX3oupl1ztNaqX5zgUpadrDm1ev3jn37/cRCltk+fXZrMtgl0IErxYIGzjIbjbM1HEEgRqPA+/WJZRFxamj29LG3sjvVpACCGCzqEqThk1pthTOYuFx4bt9R73QzkNQ5zBZgtmByPOB4ehzWLB8V1bmPV//DIoK/XgswDmerJE+vYbsDEqLrncW2TqiYxGGI0cKKUQ6o8A9JwbRzsVgqKf8/9tsEIIoWDrd7Z4n4YtcTmMoSIdGN2ZoVFIZBwuvvE+TF14tdc+sttsyEo7HLJv67rr92394wpKaasWrVFKVRlHdg23O0xK6iX7klTMg3GT3J8QICLUi/+GI+qCzLQx/ohUJ71aQABAOSqhLjFl8A+EdX+pggBk5phRVePb+JkhwMjBUiyYE+KMavSCxWTEka3rmI2rfhxUmH78RQDz3TtWVfrhU+fsU2nUBk911jc4kJljhN3h5oaRRTX5OtpqhbiCqAeAKpN9KhsaFY/R44f6JLQWkxHpB/ZEnti9+77ju7ZeSin1eT9bADfsXb86tr6mzuvvWcyYmw0/BUU/8JqJ4DUTYeVEiAzzPGlmc1hERXmZQQC6INFk96PXC8jYsfNNAiNZE93H/dM2OjEFt/7rMzDx90MQ++YfYxhgzFAFpozT+bSozNTYgEOb1zL/LP9maP7JIy8CcLmKlxBCk0eNWSGWq0s8pTykFDhyvAE226lhTPabbocxANxbIVL3+4S1dhjjiqTh0zFt0TUIDfZl9W4dDu/cmJiZuvuxvKNHF/iyQJFSOvHg9n9uyTpxUGc5awPz2575LwKCPBsygqIfkPAcSN+XQfq+DFHSU4iM8KwLDrsNlUUlIviX9gO4AASEEMKL5aGFoyfNP+Hq87DoeNzz4gcYNmkuQgZcCZr4H59FRCKmmDohEFPG63yadTA1NmDvxlXMn1+9Nzjt0O7XeZ6/jlLawpkSGZl4aNDICZVqXYjHQVVWrgk1tadiQgwHWg5jzsKtFRIw0kPfuR7GIPzaFn3EOMrBF3zcoqgqKAZjJw7DtInBCFB7n2GtqSjD9jW/p5xM3flSSUnaYk9xNJTSmfnpR/+zcfnSIVVFReKzt3EYMm4qpDIvlo92crNgO1HQGERHeD7G4XCgob5cznFcCvz0fgEBgPmXXVYXHB31uVzV0vEpUygRnzKo6W+iSgFVJPpULyGANoBi3GgtxowMPJXlyjMWkxGH9mwnf3z5bmLqzo3Pms3mG89dF0IIsY6ZMnuNiJV63FLRauNxIt3YbEGgJ2jFH+3Sn0Q9oEUfEQhg6ne7LK9SijBmZCDGjNBCJvMutNXlpdj6x899MvYe/nd1ZeWcc4d7lFKJ3W66e9PKb15e8cmrE9OPHJY67GfWIt7x3FvQ6EK8nudcGAYI1kkg9jB7RAUB1M4GVBXleZ8LvwC4IAQEgIXa7NsGjZ7oW2kXT1hXCIwKNP5JRE7+H6YvvhmDBwSA8aFHbRYz0g/vw2/L3o0/tnvTk0ZD7YOU0mYr/xKGjf87KFxXIZN7Dq8+eqLeZwEBZ2jxFg1ZAEHuPoE6I5jAZb/uU/XurBBWNwnBKZdh6sQgjBgS4FVoKaUoL8zDpt+/TizMOPQGz9sXUEoVlFKZ2WyeuO7nz75+76n/e/rPHz4dmbp/n9xmObPk6I7n3sL4OYsgkbY0XBwnHgUDZ9CgoBgAnLNWCAAkEgZaLwFlhBBNSc7JKb51eu+m1y6mOxtCiHB4+/bywRLRqoNb1y/y5qkn6gGgCf+CkPcSGIdrI0BgVBAS/g0mcBQYAHGjIjCn0Qi7/UekZTZ63YrBYbchLz0VK794O7amtODOMXMWJVBK3wRwnBBCpVJpwbDxM0y15ZWwWtyvySsps6CyyooAlYuvUjsVQv1+MMZj7q9V0ccZ22HJdtN3FGzj/pYfhF8LwZzbrH/OWCH3NK9DGgxGEYnwUBmmTwqGxSrg2Il6eArZEAQBRTkZZN2PX6SwMtlrmoDAB/dv+gup+3dpGwy1CQ21NQqrxdwiz2Of/kMgU7R0nRiP/wtK61E0RbEHDHe5VohhgIhQKao8bOtp4yxsaX5WEKVU3lm5Xrsr57V3aE/i02XLuIq83Lryktzr6murm943GxuhLyvCyKlzm5Un0hDQxqNgbK5ngAVJJJi4MzcKK1YiKHowQjQ8DOXp0Nd4z7VMBQENdTUoyDypKsrKTJLIJDOU2gDL66+/lQvAGhoZe2Pqvu3x1R6SLgsCoFaKkdJXBUnMlSDMWc5KUQDgqAVpPOy8Jgiw1+wHG3Zx83ZIwgBTDohD77qdRA4ScZVP/UN4IzhbHRjtuObvyyJAqBkqkg9toAR1Bgf01Z77iAoCqqsqSMahvbr9W/6Jyzp+KE5fVhLaaKgTcw7Xyw9mLrkBgcGhzd5LXf0IdOxRSEVc0wwMVQ0BAkac05l2OEpWoKzciuw891teMixDVIFqw5iZi9a88MILnZZxvjtyoQxhnLvCEVnG6Mlzm90lDpsVlSUFrg+KuLFVqQAlCh0SU6Jx0ewwDBno23CGUoqGuhqc2L9V8eP7/+n/xX8efXnjb8s268uL1+nCogYn9B8MmRdn4PG0BnA8hf3k46C8e2uFEEBsaxnZTxTxgNK9T5DhDeAyX/CxnynYxoMt3xdrQMRBEIkYJMQrMGNyMOKivU/v8hwHfVkxKory0VBbA3fCAQD3v/oJIuNa+q/ig0uglNg9Rw9bS4FjV0PEUkSFe57KddhsqC4pVwEYiQucC0ZAAKDf2LH6wPD4pUpN8xCDvLRj+PylR1uUJ6pk51CmFSIii7oYfcdejgVzwjBkQIDXdTOnsdtsKC8sZk4c2B25atn7I1574JppL9y9RLt34xrYbJ5TZlTqrSgrt4I3FrgN0z4NAwfsx+9BayCEgjUd87k8Yy8DX+B+K1mJmMGAFBWmTtQh3Ic4Gl+JiEuExIXYqiSN3rPu120DS02QijlERngWEM7hgMli0hpqqha0W+N7KBeUgAQHB5vsksYNg8dMava+zWLGnvWr3IuIvGWsBGMtcnmTEEkQJAod4mLkWHRROMaM8C2/6pm2WKAvr2DKcnPEmYf2MrVVFaBe1nfwvDNbGc973zfGnRVCQxZCULTPEg9CKJjGfS3eZ8Pmgw2bDwCQSlmMGaHFpHE6r9nAvHH/q5/g1R/Wu7Q+HCceBkN9z1nEEgFhISKvmegcNpM85+ThFErpBeMGcMUFJSCEEGFQytSCgaMmbz43MtWTiCDixhazMoQIEOlXuBQRNmw+pFEXIzpSjkvmh2PaRJ1PMRDnIvgSW3+Kk1kmnwTEbd94Gca4pJVDPCIJAhGfyXcil7OYNC4IE8YGQa1qmz//jufewsgpcxCfMsil9SGyZrSwPgTVUFCd67xAhABqheA1HsRsNDM5h/coALR7asaexAUlIAAQl5JSQQX+i8T+Lbc6tVnMLv0hRJUMmvQSBElzrz0hgssnLZEEQRR7CyThcxAaLMHCuWG4bEE4oiK8b8jUVsxmzvUSMe1UCIHNQxYYOGA/ckuLojT0klZZIe6sMwBgrIXg8z5o8T4bsagpTQAhgFrFYta0YEwaF4TrH3wM763e1/QaM+NieCMsJt6lcACA/fj/ubY+VINA5O4jcAkBkvp4DoK1WszIzjyuBHBB75l7wQkIIcQSGpaYMWH6fJfe85zUw1j6yuMtj1MmOaNUzxERdzcKEakgirsdotA5UCoIZk5S4fbrotA/WeWzX6Q1pCQqwTIu6pVFAcp+5/QBIOZaZioj8jjAnSDwBjjSn25FP1MwpsMu+4WIVGeVI1ArRVh060OYseQOhETGNL1ue+YNDB7btnAL+/H/g9SW4duOg9ZSkNJlZ7cSiQmeBcRhs6Gxuk5rMZkuaD9It44DoZSShgZ9Uv7xg5NP7t85Ij8nXaXWBBmi4vrl9O07/NiQmTMzAFQTQlpluw+bNq3Y3Fj7aUCQ7pmG2ppmnznsNuz8+zcAwO3PvtnsM6JMApWEA/YzNx8hFKKaleAAsAn3Ny8vVkMUdztgOgTWUYqURBFuvy4af2+qxr5DdU25Tc+XQI0Yc6aHQiKmwNErQPu9D6Lq6/EYBg7YjtwCyfCvmvd52BUQLIVgzCebXwuhEFlal0uYsRaCy/ugRb+cCyEECnUgRIrmK5DVgUFurQu1isXtz3+EpEEjWnzmOPGwW/EQAsaC6uY039WhbhsIznwXhABxMXKIJQwcboL0KKVwOEzqtMO7xlNKSWt/g72FbisglNLwH9/797LNq34fJFiNSo5SqUAEBgQ8IRscrIOx2anDERETx6/++t0/Jl907beBISGphBBfltQaTFbb+iFjJz2zc+2qFh/abVa3IoKYuyHk/geMKxERycDG3tGsOBGrQRmnk5AhQGQoxeULQ5EYr8TmHdXILzKfl+8iMFCMG66MRmS4GHKxHQSAYNgGeBEQQgApVwhqLW0WUEUU8U4r5BwBaQvurJC2og0Uo0+sAgNT1Bh40UuISJkGsaTlLI7IluNePGLuAZF7TunIEAEqOYOYCBnyCt1Pi5sazUzukT2KkZPnaAFckPEg3VJAKKVB/3v8tk0nDm5PMdc3MmixDRBwOhqgrDAfP3/0zj2/ffHebYPHT7Yc37X968ETJn9MCCl0Vz8hhC/IyCiSSJitO9eumuaqjN1mxdkBZ03HKpNAk16GkPMMGHv5WXVSMI2HANzRsrKEf0HIegwMXwdCgEAVjyljFRg2OA5HT5iwc18tcvNNTStrfUGjEWHSmCBMGa9DsE4Ehbc4B5f9QCGcvBtk5J+tO7CdEcXe1CK4DQCO/v06ErXpGH59LKIjZAgNEUGtFGDnxJDERoB1IR724/dAKhhd/GIAKJJaioe1FKRkabPyhAByGY++iUqPAmIxG5F14rASwEAAO7q0E7uIbikgG3/65K20g7sSzPWNXqfIqCCAF6wSnoPk8NZNqhN7dj4YEhV756bfv8+esfi6JwDsIIS0GCvEpaRUnDy44YuwmLhplcWutebozk346Ll7ce/LHzV7nyjiQZNebSEijDkLXMHHYOPPCeVWJoAmv9VMRESsAK0KmDJGgcmj5SiuEHD4WCPyCswoKrWgrt7RzDJhGUCnkyIuRo5hAwIwoJ8aahWBXMKDIa0XjzMd2PYcou2BKPYmsBGXgTAtp3L7x5sxRKcAQAACsIQHIQATNAYIaOnstR+/B1JbumvrI3AyqG5ec12xloKk3gBXow8CgpQEFdZtdh2dC5wKKKuq0lnr6y6GX0C6B5RSzTM3zhthMZlaHWHE8xyxmDlpcW6m5Ov/PTvi728+Xj3vxjtLKaXPAlhDCGmKnSaEWP5eujR9wJjxtsriQqmb+nBw6xp89SqLW555v9lnrkSEEAqR/lenP8SdiGQ+BEZoPFXeKSQA0CeKIDREB8T/F9CMBqUU+n3PwqxPhVzGQKkQQS4DFDIeBMQ5A0QE34RDOxWCpQBM7Yau+2LdwUhdigcASBx5YFmKc1MQEiIBSMtni9hR7H7oEnUniPycKee6bXDnuiAE6BOvgFjEwMG5tww5h0N9ZP+20ZRShhDiuwnZS+h2szD19dV99cV5Sp5ztHmqggoCsZusbGlxnuqnt19IfuLamd9u+X1Zlt1uv/vs/BvJ06aVhkXFf+qpLpvVgdK0jag+8m6Lz4giHlTcPK+Mc9x/3GVdRJkAyga4/owA8uDhkEdMhUIVAKVag9hpbyJh4GhEhksQohUQoOAgZilErACW8VE8AKePQx7fLt9PaxBYLZDwL7efuxu6AACX9XIzP1NTnbIk0KgbW7xvP34PGMHYsnyT3+Mc8Tg9dHEDQwQo5UBMlOepd6vZSDIO7ZbjAo0H6XYCUl5SHMcL7ZMujlJKTBYzU5yVrvz+7Zdj/nXTvP/t2bzyBM/zL1NKIxMTE+vKSvL+VmkCPdZjMtpQkfYnHHkftfww7pEW+80y5izQk/e43tQp6QUIjJt8p4wYhDljFDIiOaQDX4JEIm6VYJDyH0GNWe3RhecFFWlAlAkuP2Mjr3A7dOGyXoa4fpPL66XSsJYxHNZSSOyuHaeQRrl0mtITt8PTxAkhTmsvKd5LPIjZhPzctEAA57stRY+k2wlIQ3m5FCxp13ZRQYDJYmYKMk7KP3r6gbjnb77o2V2rl+dzVuuOaYtumhif4nk3AZtdAM/ZIGrc00IUiCIeSH6zWUQmIRSsJR3IeqpleWUiMOATCKxvKT8JKwcZ+BkE+B7uTQgFMWxvzy5sE4RvaCmi1lKwDTvA8I2uhy7WUohMB1vl06En727K83E2QuBkIOwyl+dgqPcs/CAEKcmes+9zDgesJltURXHxks7o0+5GtxOQgAB5DbXzjvOvyTWcw4GcE0fx4QsPSe5fNHbs+u8+fN5Yb/B4DC9QRIQyzp3e0u9teVPIooDk1yGIm28fwdhLXIoIZFFA/49aiAhx1Li2WmRRoKRrc/gKRAYy4INWHcNwtUDGA0D5j2demY+CtWSCbdztUlyQfi8Yvr5V53HZ3sDJQPRdLnN+0NRb4EvYBksEJMbLoJB79uXbTY0BR3f+1f9CXBfT7QQkIiUx23N24PaBUgF1+krs3bgWBZlpHssyhDQ9ERm+3r2IpLztUkRovovExKdFhDmTcYwxZwB5L7sUETLw01ZZIe3eX0Te8ma0ljpFz1PfcbVgSr8483JUOt93VDrF9WxxyXigXcQDACAOcb25uLUUDHybeSIE0KopEuI9Z4Uz1tfh5IHdMlyAO9Z1OwHRaGKL1bowm6dNsU9zybxwhId33PqS04jFBOKz0vAxfL3zyeqjiBBHnXvLgmk+xmbMGUDBm67rHvRVu4sIA0fzc1lLAYfep2Np8SfO9rb13PaS5uLCdXAslodpW7dtZIAUL5uImY2NqCoqCgIwpmMvoPvR7QSEEOKYtHDhOrFYYvJamFK88kwKHr8vEaOGBkImY31K4tNalAoWMlnzihmuFki/H9SU17ywLAq8ZgrO3nfIOZR5HNRc4NP5GOMxIO9VUEthi7rbW0QIeODETUDJUuer4E0wDQfavxPbq722ymb9Qk05IK4WzNlKQS1FZ8oZs1otHgDAiJVY8p9D+PFgGX48WIbXf97UImWiIAigDGIOb9/ofRetXka3ExAAuPKOZ7+QyQPqvK0v2LKrBhYLj/4patxzezyevC8RI9tZSMRign5JCshduCAYvg7Ie6nF+2z8PeBCLm+WrpOxlwOF//P5vIw5DST/vy5FxC5J8ppztTUw4MFU/OB8GX1PHNQVMNYckPz/NgkeybjP5ZCEadgHUvxxUzkm/e5Wi4cAFmRg81n+2KT+eP6LlS3KNhpqZUd2bYiglCp8rb830C0FBEDu5IsWlEpVAW5Xm8mVavBQYPcBW9Mu9XFxCtx1cxyevD8Ro4Zp20VIIkJlmD3F/WbahKtvaYXAKSKCLL55WUd1MyuEmnJBeA+5N81pIKXftnhfMuRj2ETx7SoiPQnGnHZG8DzMpjAN+5rKtUY8KCXgIQMGfePaj+ICY0M9clIPq+x2e+t3Le/BdLtIVMC5O1tlZeXz29au+tZKSCjO2YdUrlTjg78OQKFyBmXV77gMUpHTjGUYgrhYBe68KRZFxRas/KsCWXkmsGKn2SkIPKxm76MjAAjSijF7mg46rXt/DMPXQch6DDT5rRYxD7xiMBhrwRkHrL0cQu6/m7acJFWrwVD3ay0AAPYKUEthi9gHyfCvYDtyC6RcQdvD2P00g1ICgUhBBi8FcSMcAu/69+Ow22CzNISXl2bNAXAcFwjd1QJBaGjo5pGTp+qVMlmLR8f7a/Y3iQcAaCb/DrDnOCMZgvg4Be67MwHPPDMLS7dmYOnWDPxn2WooVAFQqAJcpv93HguE6CS47OIwzJyk9HqDuhvKiBIfaWGFMLaiM0/PUyHtHus2p4FULHf5mWT4VxBIxzuRAYBQM6jpTCpEai4AsVV2yrk7GkoJeCoGHfwdyKi1bq0OQRCQdfwgXrxjset6BD7s6Ia18yil3fa+am+6pQUCAIQQTl9Y+Mzx3buWmq3WEG+7ocvGrIB1z0Ut3pcoQ9F38pmcF7FJ/bF0q3PmoCQvC/998HrwDjvMDdVgWQKphMGoYWosnq+DVsP4Hv3J1YEaM0FUzdMCCsoRYKyFrR5/N8NS6LxhFfGd1PstYagNQvq9QIgzfw5pOATGVnietXYNAljQsxzRniwOAKCUB7XqUVpc6lY8AKCupo45vG+batZ194QC8LirYG+h2woIAATHxq4dPGla4d4Nq3Q2o8X7vK4kBLD7NgUJANEJyXj/z/0oyz2K9cseR7CWICbUisEpIojYVnrr+Xrwhe8A5zjd2IT7wQEQ1axss4gw5pMQCt4CjX+sa0UEdkD/e5edvz0QwIL2+8RrwqXTUEshSNkPMJVuwfFdBo9lrWYTqqvKgxorK0cC+Kurr7Uz6NamFiGEu/rWB15UyjU1OGtJZk1FKQQXmcqlQz9xikgriUwchptf2YCL7nof/QYluF0d6rW9Dj2osWXWLjbhfnC6xfBiRHmEMZ8EKXiruRO24ZjzpnaFOedMfIe1FDC1PV6jVxF+dSvEowik8F0wdRuglnMYMlDVLB7IFQwhUUf3bLjIpxP0Arq1gACANiph7diZ8/JkYkmTgDx1zSyU5La8IYhI0UJEKOVBbdU+nYtR94N0xNcQ4h5EW4axDFcLkvNMh4sICj8ACj8Ak/UICFyvIGca9gElnznLlnwGxnBBpqtoNdRS1NS/pPhjMMajAJxRqWHBBDFeNsMy1zcoju3bHEcpVfpwuh5Pj/DfN9TWTvrPbfPXlBUWBpztC3n1h/WITxnUojzlzbCfeBTUfGqMLg6CpP+pndUYKRi5960I+Kp1YIo/BEMtzfJl+oLABoImvQSidtG2Y9c719T46RIE1VDQuIddruhF+Y+ArdRtLIyDI1j+Zx3+XOfeeUwIQXhM/L7nPlzxYHBMzD70cnrE4p9XX3+9xGI2zs0+eSyat9ubTINNv3+HJXe62AyKEYMNmQGhbh/gqAcEC/jKteAr10IwHAYTMBDUUQfKm0HErvNzMMokkMhrwYvCwNTvAYHv/gtCraDmPJDQlgm7eXMRGHOWf+q1iyD2SsCSDzSmAobdZ151m8EYtjk/dwNDAFYswq59Bo8xOFpNkEgTHVPzzY8run5JdAfTrZ2opyGECJTSRw5s/Xt93skTQVQQmm6/gswTLq0QwiogGfQ27CeeAKgD1OLcBJpaS2E/7swSTmRRECc/BTByMPJIl+dmQ+eCA8AUfwhCLWB8tEaIvRK0MQ1E3TxVgCjhITgAiGtWn9/MjJ82wxiPAW2IuCUEiI8SISJMipIy9+s9jRZjeOqOdWMopVJCiA95A3ou3d4HchpCyOEF1929Q60MbBa3/Mx1c1CQecL1MawC0qEfQjLgVRB5TIvPT4uJI/t1CKZcCJYyl/WwoXNBRv4JPvp+CD4abQxvAMn9N2hjy5W+ooSH4NBdcl7+ED9dA8sSJCd5XlzXaKhDXnaaprGxoE9Xt7ej6TECAgDj51z2WNLIkdUM23yO1ZOIAACR6JwiokhwOd9PTTlnhMSNiAAAG76odSLCVftFpJfBss5NvDwtkeAcDoAXYjMOps7o6vZ2ND1KQAghuZfd8uAvwSEhLdKQP3PdHGQe3e/+WIkO0qEfQtzvBRCl6+UK1JQDR9arEDysmmXDF4GPeQg8owX1QUgYrhoocZ12VZTwEIRzcqr66d6IGIqEOBl0QRKP5QTeFnt456ZZlFKJj1X3SHqUgABA0uBRr4yeelGhTCxuMX/5+v3XehQRAGDkkRD3fQpMwOCmF1GcWcNCzXlw5H3oWUTCFoCM+B1c1P/5JCLEWgLa0L1XufrxDUKAEC1B3z6ehzF1+lqmIO2Ytr6+PsbHqnskPU5ACCHV82/7v891sbEtnFM2ixmv338t0g7t9igkjDwSkoFvNL3ESQ83F5HGNKeI1B/3LCQRS3wSEYavA8l9wS8i3RxKAZ7RtngJaG5EsCzQr6/K40ya3WaFzcHFFmUcntnV19WR9MgBOKVUsfKrd3b/+snbQ3nOdXo6qVyBpz74ESnDfEsSJZhywRV8DsqZQM1nlucT9QCIE+4D4yGEnC//DaLST7zGi/DKwSD9m+8vQ49eCZbzPfzeT8fBsyEgw1suXKSNJ4Ds55v+dogiUF4two+/lYE7tWeMubEBhVnNtwONjErgRs6c9cd1D714LSGkw/L8diU9UkAAwNTQcOlbT9z8W9q+XW6tKKlMjntf/ggKOYvkvkEQBY30Wq9gLgBX9K0zTuRURClRpUAUdSWIJASMyo3/JP0BsKZUz3WzGtDE/4AEDHP+XbMDTP7L7sPR/XQqQtQdQMS1bTq2OCcDX772JLKOncnmJpMr0KfvgO1PffbbnTKZrHU7k/cQekQgmSteefXVHJlUPO/Y3m3RnN31DchzHPZuWIXsQ2vRPywL6tBkMLIIj/UScSDY4KlgFPGgjnpApAQ1ZkKo2Q5qLQVRxINIgloeWL0WjKPKc93UBtQfAG1MBWo3g6lcDga9OkygR0EDRgLqwW06VhMUjNDoOGxfc8aC4TgH5Cot+gwYVPXRp0v3t6nibk6PCCRzBSGEo5Q+cWjr+o3b1/7hdvUbpUBtrQPbtufhqpBXwAT1b/pM0EwGGzrX5XGMuh8k/Z6H0JgBR8FnTmuk8QhI1hOg6gGguovBBI131lN/CIy1CL7AcLVA/a6u7j4/LqDGjHY3ySk1x6Tt2zaDUvoFIaTDdxvobHqsgJxi55xr79hyfP+uOYYa934Em13AkdQGXLGgFuxZNy9Tv9e5j60bEQGcQiKOvwtc6XKITQfBCnVA/S4IDUdAa4Y7yxhPtN92BH66DMawE0L2cwAAIWAM2LBLfD620VDr0nFfW1XNZKUeDbPb7cnohZnKeqwP5DSU0mHfvf/Crr++/lQBD+tVpBIGl8wLxWXzm+c3pWAhaMaBBk4HE+LZYc5XrQNb9LbLXdD89C4oJRACJ3gsI6hGosGuQ26+GcW5GVjxyX9blCGEIGnY6Mo7//PfN2Ni+v3PW6LwnkZvEBBSVZT/7av3X3N9RXGBx7LBOgleeyYeamXLyxYgAlUNhaCdBjZsgds6BP0mMEVv+rY1op9eDaVAViGP197Nh9XqfgYuqk9fzLjsml8vvu6e/yOE+JZboofQ4+JAzoUQQkNj+7ww54rrGoiXJa4NjRw27WhwuZKSAQfWeAhs8XugGY+Br1rnusNCZoIqB8GPH0KAmHAWURGetx2t01egKCcrGeCndnWb25seLyAAQAjJGTd7ya/hsfEey9ntAnYdqIfJ4qlDTglJ0dtuRcSPn9OwLEGyDzvXVZTkpuzd8Pd8SqnKx6p7BL1CQAAgKCzy5WkLrjF6s0Jq6+zYtrfB654qDBx+EfHjFbGIYsgAJSQSz7dSUUaadOvK74al7towpavb3J70GgEhhOSPnDHvl6g+nvf1MVt47NhrgMUHFwYDB5iyL7v60vx0YxgCJMVLEBXheXsNi8mE8uKcwfu3brw3N3f/6K5ud7tdf1c3oF0RK96ftvAas6dFCpQCNbV2VFb5Fv1JuDrwFaub/hbq9oKYs7r6Sv10I8Qigv59vY9MqsrKJZnHdk48tm33fVarNbmr290e9CoBiY6Ozh08YcaqsOg4j+XMFgFrNtWBF7zXyYADW/IBaPoDoOkPgMl/1acNofxcOIhYIDlJhQC157AqSinKCos0x7b+M2/3P6uvppTqurrt533tXd2AdsYSIlO+M23+ZVf88vn/3F4bz1OkZZqgr+ERHuJDTg9wgJd1Ln4uHChlIMhim/4WZCnoM1qFhYwBNXVnLNvKkkIc2bGh2bGcw4HC/JzQwzvXXKHVynMppb8QQjifT97N6FUCcip3avrgSTO3rF/5/ew6vfu1KUYTh3+2GnDj5TowPT4axk9nQSkDLuQKsPF3N70nAhAC4OKhzcsW5aTjXGu4NC8Lqfu2ozAjfdCx0J23aEPj8wHs7urraiu9SkBOYQmPCX593OyLZ6/98Su3hRwOiiPHG7F4bhA0AX4F8eMbAqNoJh6eiE3qjxsffbHZewWZJyD5/G0c2r4OmQf3jldrg26llJYSQnrkPqG9ygcCAIQQnqujh8dMm39ErvLs2Gowcti82/uUrh8/7UV8yiAsufNRDBk3DUUFuYrUXdtmrvvx04WUUun519759Njl/J54/d13eZaVOUpy0y4pL8xzW47nKUwWAZPGBELUG20xP+0OAQeeBxjNsDbXERgcikZDLY7u2gSb1RpIKNFIpYH5n33zTV6bK+0ieuVtQwhx1NTUrJu24Ir6I7u2aATe9ToFSgGbEACzegHErO9Ts8RWDEYwd/Vl+ukCCASIKr+F0LDH5eeCZjLY6Ot8rq+xvg7FBZkjTuz/50pK6UlCSHlXX2Nr6JUCAgBBQUHVdNCwH6MT+v5fUXbLfXS1IeFYcMP/Qa3VIXDIZa2qW6jbC+S/DEYwdfVl+ukCCASwFtcJxhhLNoS6jQAAM0lCer4ERiEa0xZd01Qm58QRHNi6tunv8qJCuVi0Z+7yd1/aSyn9rielP+y1AgLABo79Zsz0+S0ERBsSjmseeA6T5rdOOE7DaMeBViT4p3b9tIBAAGsrAAAoaQGYahv27ZWiKCe9qUxpXhYyDu9t+lsQeFSWl8bm5adddWDzrxnoQbMyvVZATk3pZg8bM6N4zfefxVjNZ4YcAVpdm8XDjx9fYQgwOEWGvKJ6/L1yGaxW95GLFpMR5Xn54w7t2HoxpSWZhETXdHX7fbrGrm5AB2NWBgWsjE3q166VCtVb/eHsfnxCIqaYMCoAg/urvW6orq8oDsjPSLvkm7eWzaQ9ZMvCXmuBnMJutDSuSRk6+oGs44eb3qytKseabz/GghvvaXpPsJRBKPkWrNV78mzGXulPKOTHJwgBIkOBGZODUFllR1Gp+1wSAs+jrrx0QHnRiUtTD209DiDD9zN1Db1aQAghQnFxcUHy0BEOfIemxMuNhlqs+vpDlOSdsSIidBZcMjYHLOPDAhk/floBQ4ABfaWYMEaL2g0OGI3uI9cbGuqZkpycmZt+/uYgpTSfENKtn1S9WkAAQKvVNpp0UQcIYSZQekYcTA2GZin4kxOVWDA6BmxvH9T56RJELMGQgQEoKbdi175aj8GLddVVoTWV5Ut+/f6dAwB2dHXbPV5XVzego1EqlWZB4DdLFfIJVpP7aVcHR8HzgNhDjwhE2iydITFn+Vfm+vGKADGEyJsQEROCi/vYMGieBZRSpO7dht3r/mhRnuccqKosG5Z/4uQsWlKSRqK7r0O11wsIALupri5NplDAk4BQgUIQXD8WBIhBVUNAdfObZW53xoP4l/f7cY8AMfjYR8GGzgULIC4CiDu16C5x4HAMHudMk3qumNRX6xWGgoLLv/jyv0cppX9012zuF4KA8A21lTUM43ls4urbESAB1YwG1c4EEzy9RQp7ZzxIvD8exI9bqCjQ7b5D0QnJiE5w5hXqN3wsKKXYs37VqQMpKorz+qlDQhcd37UrDUC33BrzQhAQAIDD7jm4jxCgwUQgVSiAU3vXuhMOP37am7DoeCy581GMn7MIe9avwp71q2CymJmKovx5G//4bBelNK87RqheCAIiUgWHxFpMRo+FWIaAVSWC9n0ITMBAAN43zeErVoM1pcOPH3cwXA24go/Axt/rtWxkfFLTa/ycRdiy6iec2LctLDQqZvGWVd8dB7Cvq6/nXC4EAQlQyBTXu9uAG3BaH7LABAQMfLBJPDzBV60DU/YlWK7Oma2sB0MpA14zFgDA2ErB2Fzv8StABCHAmQuYMWeD4XrV/kgdBoEAUfXvEAzbmt4TguaAjb3d7TGnRST0VDKi4pz0Cce2b55IKT1BCOlWC7B6tYBQSklJSVq8vqR4jLsyIZExuOGRFxCgDYJY63nDqDPCYegV21tSSuCIeRgkZD4AgDPngc1/Aay9tKmMABZCwBgIgdNAdE4HMtd4AqKCl/0i4iMEAljuzN7NpOpn0Nr14MRxIMGzIApz7SOJTeqPsOg4HN+zRWONTbh864/fHgewsauv52x6tYAAkCtEmieO7N0kd/VhWHQ87n/1EyQMGOqxEkG/CaT4I7BCY4+3OE5DKYEj7qkmUQAAokgAVEOAWqeACGDBxT0LEjSl2XCOqAdBUPQF0+AXkLbAgAc4PRiHHrWZeXDUGhHaf4nb8jzHobgwY4QoUDOJUrqfENLQ1ddwml4rIJRSxm6vSyrMPDLnxP5dLT73Jh6nRQMAmF4kHM6+aSkeLa7/LPHwhAApBI1zE2rGlOq3SloBIYBWXouMk1+huMSCkbOvd1u2tqpaGl3fcMXWH7/diW5khfRaAQEgt5n5V/78fqnKbGwep+GLeDCFr/cq0eCVg0FFwc7r04xzKx68ehxQuxV83OMexUMIuw4ckUHQzgTRjgPQu4c2FAx4jTNmg7HmgbG1TGEqQAxBM8lZxpwOxlHhtV6GAPHhJqze8g1MNgmmLLiy6bN1vyzD/k1/Oc8vCCjKze6rC943ilJ6kBBi6Oo+AbxPNPRIKKWsobpiyt4tq//64e1X5A67czmBRheC+1/9BDK50r141O4Ek/dCrxGP08JBI28CZNHe+463gFpLwCj7tul8TNYTYE2H23Rsd4WCgSPuGZCgac6/zTkQFbzWJCKnhUMInAYSNNFZxpjhFFMfRESgwKHjNvy9gwWkoU3vVxYXoLbqTIIywjAYP+Pi4wNHj31s1pV3bPBacSfQKy2Q+vr6AKup8aM1X38qd9htCAwOwxPvfQeRWNIUuOMKoWY72PwXQcB7PYfAqAHt5JYfGHaD4Q1d3QUAAF41CkLMfT4Jx2kIKwdpo3j0dCglEHTznH/YysCajjnFo89LIIFjz/SRIglUOQCwFUKACFzCSyCaUc39RKp+EOR9fLZCBveTYv9RPXbuzXW7ToYKAnJPHBlAxMwwSum+7uAL6XUCQimVNBgMN6/8+qOUmopyBAaH4ZmPf/EqHKTgTbDU4qN4KECTXgIJaGnF0MYTEHL+1aUiwiuHAtJICGFXtUo8LnQE3XwIcY8AAKi1CKhcAV4zqZl4nIYPWez8VzMZRDPqvM8tlQCjhqqRlWtCZZX7Bbj6qjJRMhl99e71Kw4B2NzVfdarBIRSSioKMiLTjx9+ct+GPxmpXOFdPAz7fbI6BEYBaKc5z6Ob7VI8AOcMBZWEARZDl/QBrxwKPvZBkLN2TjtfBFM2hKq1EPV5wGM5WrkajOlol1z3+cKrRkEIO+N/ILJYCHGPuh3jE0WCx89bCyHAkP4yHEhQehQQQRBQmHV8kEwhGXzKCunSuJBeJSAAFFaz4731Py8Le/6LlWBY1qt4MDnPehQPgciAoBmnRGMYgO7tOKLKAa0SD2qvAZ//AUQp/2n5mWE/mIJXIaI8HJJ418dXrwdT8jEAQETNIDiTMkFg1KCBTqciadgPhuuei0rbMtTzBSH8BvCiQOf1Nx4G46j0WF4mAUYOUSEz2wh9jfvAx9KCQkn/EZOuyjp+/DC6eLl/rxKQyrKyWX9+98ns/3vxA0QnpLgtV1GYi1/fexh3X8VBxLZ0lp4WDQAQgmaC0YzwWTT44m8gsmR3yfXzyqEQdLN9bis1Z4PNfAysYIUj7VGwA94+85lhP0T5zzc5kxlbBmzZL4Lt+7zz81PCwVKLM66hqe8UoFrnbAUfNAdEPdhZ3pgOUV7XDu3coh7SIUM9okyGoHzUef2mDIjyX/IoIoQAQ/vLoXr0bijjFgAA/vruE+z6Z2WzcjzHoSgnfbjm4MaRlNJDhJAu22OkOz9MWwWlVLn6+/fyJs29KjRQF+qyTE1lGV64/VIoZRQXTWUwZayiRZ5KARLQlP+BqL2HtAMAX/I9mIofmv5mqA1dsfKaV48CH30viCzGt/4yZ0OceW+TxUDpKeE8fR2wN7MmnGUIBCI9dZ12ENL8c4FRgkt8A0TlOgctSb8HImv3yiXLayZCiLyjU3xFvsxQcZJ40H4fgJU4d1U01tfh9Dqu35e+g22rfwYASGQyXHXXY9kXX3fV7UQcur2r+q/X5N/KTT3wzpzFt4Z4Eo9/37IQ9fpSBKmNGD9S2SQeAiQQQi6DEHIZaMrbrRIPUfkysLA2vboqbQOV920pHtYSMEcWANaSFuWZuu3NBIIQNL8OtEztSAg96zpbJx7dFkWKz+JBG4+DObIAfNqjbToVH30neEmkxzKElTaJBwCoNFqERMYgJDIG1z34L7y3eh/GzLgYdqsVhRmpCVmHs+dSSsO7qvt6xRCG2u0jBYZcB8K4tKhOi0dtVTmiIuW4ZF44WJYAoBAgOiUaznUwXlfglv8GpnSps/O6yNpo0SblUAi6OS3zlRi2O2/29NvA9/+y6Uah5myIqn5p1zYIrKbHiQevmQghsHmwHOXN4NKehHjwB83fbzwOcc5jIBDAWI9BOLKg2ecOxTCwKS97PB9RJIHv8zyQ/yJYe1mr26vSaKHSaHHbM2/guoeex/rlX7I2lrsXwJFTSYc6PXipxw9hKKViAOmCICS6+vxs8VDIWVyxKBKTxgVBLBIgFouBvq+CBAzxep7TwuHKdO9q+OBLnU7As7GWgE2/rck/IYAFPZVX2tXw5HzhxJGgg771WIaaMiHK/RcYvraru8zZbxG3Qgi/tkUb2Yz7QVkFaL8PAVl0M/Fwe21nDe8AwKEaB7bvcy7LehrKUErAhV0DNvYOr+03NhggkcogkyuOALifELLL60HtTI+3QNIPbnul/6ipCa4+Mxsb8MSV02AxGSEWEwwdFICJY7VgWQIqTwAGvQ3CKtzWzVeuBlP04amO4pzWRjeTXF49CnzIopbWR/rdzZybzv97j3FpK6y9DPac18AkPX2mbZV/A3Y92JibAABEmQIu6XWIcp/pluHu1JQFceZ9IAwFqBE07RYIEIE5/d174PTw7jRM41bYsmxgk19qVRsIoRBV/gROcICNv8djWVVA4On/DuF5/nFKaT0h5ERn9lmPFhBKacLDiyc98PZv21vc1mZjA+6/eDQsJiMIAUKDpViyIALigD6QDHwTIIxX8RAVvev1hyOwWiDkojNvVK8Hc9bS7Q5HGu3acUr5ThU7QgBJwyYIh8/484TAGSDxzWNHiCIBgiioWwoIY9jR7Pt2ikLb0jYQAkiNeyAcng+HalSrhIQQCpH+V+zf/Ct++6saM695FLMvv8lteUEQWJZlLxIEwUIpfZEQ0mlZrnqsgFBKyffvPP9rRVGu9PZp/bB065k9eM6IRyN0YZF4/edNYAiBVMqAMJ6FQ9BvAil444zF4a7cKeGg2hkgyjMGEA2aCSHryc4VkXOxlnTJWh6nI/asG86SCYGRtr3CDoYp+8rpA5FFO4d8lT+3q+ie7g9qzWmWc5ePuQck919gHOUejqUYkEixSWnD9++8gF8+fA1X3fe0WyERBEHMMMwSAHJK6WOEkJzO6MMeKyDlBZlzN/zx7RBKKczGBtw+7YwDj1IKi6kRcqUab/yyBQqV2mt9p4WD9SYcjBoIvaRJOM79vRFFH1BxENCFAsKk390tnLsdQXa+FQePOVdXL54fDJm07Xc8IRSiVgxT2gsij4cg1nkUEACQyxhERcqRnmWE2WZtEpJbnnoNE+ctblH+lIhcJAhCHqX0LUJI6z21raRHCgilVPryXZd+Zmu0sqffMxubryuSK9X44K8D3sXDWgqUfgO2dqPbH5BAFECY8wuj2ukgykT3DyprKQhn6LzOcOid07SnpyKtJc5tN7uBr4axFYCm3QUSNLXpPWrYA9aS3ab2Zedb8dGyMlTonVbOoWNGvPxU/HmLSFuHKR0Ny1D076vA0VQJyittcNiscNis+OKlR/HV60+7FJJTInIPgC2UUn1HJ2LukQJydOPaf2WnHg1197lCFdBsSOMSaylQtw1oPAqm4YDbH7TAKIABnwOyKADwKByo2wZUrfYastyesPWnHO8KZ+QtU/ZVt7E+CAFEtlygPPecD9pWX3Ut1yQeAFBSbofFBsi67ygJAMAIJvDniDzh6rweRwgwMFmKiHAZyivPrI+x26yw26z46Ll7IZXJMWravGbHCYIgBXAVwzAnAOR35LX1OAGhlAY9tmTsfXabTXbuZ16F4/RNDpwRDg+cKx4e69SvBWMvQVfA1u8CTgtJN7A8/DSHoWYg8wHQsMsBAKR2M5iz8s56QiEDBvRV4ERaA+yOlg+G/z12Kx55a1kLEWEYZjwAHfwC0pwNP3/5v4qSKjl1kTTBrXicvslNGWAMntceCUQGRN7g/EM71b14dAPh8NNzYIQGoHxZq48jBBg5RImNOySoqHS9SteViAiCsIFhmA43hXuUgFBKY++7aMhinrNKzv3sx4Nu/EXWUqDkM6/CAZwSj4FLvYsG4BcOP52GSskiVCd1KyAA8M7jt+PhN7/EmBnzOUEQXrNYLB+rVCrv2YzOkx4jIJRS8scXb39aZ6hTnGt9KFQBro+xlIAUfwimYZ+HegFBFAISfqlHi4OaC0By/+1y3xRKAUGeBKKb7vy7dicYc0a38UX0Zp5/Ix9v/ycBEnFXt6TjUCqAfklyZOXbwbDOZ6fNagHPnfEHUSog/fAuiEXs3cOnzPlepVLZ2nq+1tBjBKRBX5K0ceU3E3kb16zN7vwe1FICUvq5V/GwSftDMuRjj+f2Jh6OoIUQJT7S9B6JuBbCybvBWrrldqY9luAgEcJDxM0cqfoaB2x29GoBYQgwekQAIsc9jjFznKH3y15/Grv/WQmbxQyed8b8lOSmQyqy1g+fMsd+PudrVdu6unN8gVJKdqxf9UZjTaP87ISRnpympOYft8MWSgGeir2KBzUXACVLQfJe8Vk8/HQcffvIcNWloedfUQ8kMnFok3gAwK1PvYalWzMwbvZCKFQBUKgCUFlSBMIrkgAEtP1MraOnWCBRG1Z8P9POWZs9Z9yJB7WUgFhdb9F4ttUhgWuouQCkdiOIYR8Ya47betyJBzXngzi6x4IxP72be1/+qOn/Hz//AGKHj3qS47gjlNJNnbE6t0cIyKHNq+4zlFVIKfXuU2gauriwPrwNWailEKRmg0fhOF2PR/Ho6lB2P70O4qh2PtgU8W7L3PPi+wAQyDDMmwDuoZTu7WgR6fZDGEpp0F+/LLvGTu1N4UK6sEgER7RMAkMtRU6nqVvx6OdePMz5zqFKxQ9exIPAoZ3vWjyMmSBZj/nFo5MpKOEg9HJ/NWMvh5DzChw279kLBUEYDOBTAFNOpbvouHZ1dcd4I/PInsUNdQZVUGgEgiOiERwRjTd+2YL3/9zfrJyj5hBI8cdunaYCkUEy5BOXn1FzPkj+a2B8yGUqSCIhSnrC9YeF74Dh/EOXzuaVd3Jh6rKsoJ1HbXkmjm//BfqyYljNnpOxC4IwkOf5fwPo35Ft6tZDGEqp+J8fPnzk5a//CpTI3K+ghbUUyHwUjKT1YZjUXOCzeHishzMDQqfMnHUIlAICZZ2RSzj9ok0vBnyL/LFdQXiIGBFhYpRXdu76le7QP3Ipg9Ufv4rsvGdx7YP/wtiZzqxoAUHBkMpa7h9PCJkCYCSlNIsQYm3l6XyiWwtIbW1F8rzr7gsUBMGzpVS3DdK2ikfBWz6Jh3PmhoGDjQRrNUAkC2z2OVe1HoKxDDIRusWN5nMfUAKBSOCQxIAo4kGk4SDSUBCJFpQ3g1orIdgqAHM+xLYCgHJg4Oiya+wTK8WiecH49JvmK1kLSjgMTBaBaed2Ne+fOBBJOIgs7FT/WJz9Y60ELHkQ2/I7tH8kYgYqpfOW/fG9l/Dje84cI7c9818MGTfVnZCMALAGwIUnINmH9tw5avqCAMKwHstRa/N1BZQCAqM6+x04qAIicxEYhXPPFMrbgOLPwJhPtjiWFxhQSiEIgHDq36paito6O4zmnZCmv4ikqY8jKDQCANBQV4PyrCJwZVaE6ETQBVKIGNqthYRSAoGRQ9BOAxN9DWTyWG8HgHL14Gp2gqv4EyJbbpcKybm88k4uvng7BWple/fP1FP9E+ftCFBHA7jaU/1jzXWmjmzH/pFKKGKjJDh2EhDOyq745avOIfX1D/8H0xZd3SywUhAEnmGYDvMQdVsBoZQqPv7XnYtSRkxSBWh1bsvV5m9BUPXfADkjHA5JTDNnKbXXgKY9A3vaM5D0f8H5nqUUfN1hgGGcRqhAwQtATR2FvtaBikoryivtqNRbUam3oabOAbv99LdWgInHbLj4hv8DAOz6ZyX++u4TSCQM+vdVYfI4HQYky6EN6B5mf/N+BQQiBaceAVHcLRArU3w7kBAQcSDEYRdD0I4GV7UBjqp/IOVKuk3EbWaeDSMGSc/LCmnWP7E3Q+xzomgCItZAHHoRhMDR4PQb4aj8B1KuqN36hxBg+CAl1m+thcXaMj3l9+/8BwAwY/F1kCmcSsowjAkdmMuym/28z1BdXj7mX7dc/Mcdz/03YuCoiRCJnVEbRTnpEPgz/WE6cAcG93MuzOWZQJARK13WR62VsB25xfl/SsFxFFYrD4tNQGMDh+JSM/IKLSgotqCiygqOa/uXrg0UY/I4HWZO1iI0SOg2IkIpYGOjwEZdBXH4AoCwLspQ8JwDdpsNDrsVnMMBlmUhlkghlkohEkvBMAyoYIfQkAau6EtILKmdKiJ5RTZ8/FUZSspbBlyejxXi7J9IsJFXQhxxicf+cdhtsNus4B0OMKf7RyKFSHK6fxwQGtPAFS2DxHys3fqnoMSBNz4sRp3BvQ/ojufewqDRkxAYEgapTP4LgEc6KrlQt7VASnKOLLEbTao37r8OT7z3HQKDwwAAL96xuMkDzTDAf55IAk+cwxUy4EO39VEAdrsAs5mHycJDr7chK9eInAIzikstsNnaL0t5ncGB9VurYOcEXLVQC3k3yVchEDlEifdDpB3fsn8ohd1qQU1lKapKi1BZko+qkkLUVVdArlIjNCoOYdHxCIuOR3B4NJQBgWA1Q4GEh2Av+BgS08FOE8qEWCkWzNG18IO0S/8k3AtR0CQP/VOGqrIiVBXnobKkEIbqSsiUSoRGxiEsug/CYuOhC4uGKiAQbMAQkISH4Cj8GOLG/e3SP1IJA5nUs0vwi5cfw8DRE3DJzfdjwIjxC8RS2fuU0kpCSLtbIt1SQCilom/ffHoxRx0qAPjvgze4LBccJEFU4mCQ4R95rI9z2FGam4n84wacTDciK88EfXXHzphYrQK2bK9GnxgZpoyRd7kVQimBEHkNxOeIh9PXw6OuqgJph/fgn58+R15aqutKCKANDsX0Rddg3OxFCIuOh1TZB4i7DfbcBkhsWZ12nbFRUkRHSFpYIW0dxlBKIERcDfE54uHsHwF1+nJkHNqLv3/6HHlpx932T6AuBNMuuQrj5ixGeEw8ZIo4sDG3wZ5bD4kt87z7RyImkEq8R1+cPLAbdfpKLLnjEeWAcRMXa7XhuQDafXl/NzGum0MpjXrqqul7i/Ozo3nOdSBd8tDRGDo4CIsf+sptPTzHIfPYfjTW6fHtGw+grq7zU9fNmhKM65foujRrFqWAQzsHkuRncPZXftocz0s7irU/fYF9m/5uNjx0B8uyiE0egPnX3I7hk2dDpVaDr9kJkv8GWFg67bq27mlwaYW0dhjj7J+ZkCT/y2X/5Kcfx9qfPsfejX/53j9J/THvmtswYsocqAICwNfuBsl77bz7p8FI8fanZcjMMfpUXhOkw5I7HxUS+w+5RxMR/2NISEhj+/S+k25pgehLcofoy0ulnsTjqQ9+bHIUuYLnOBzbswVvPew+HX5nUGtwwMHR88rbeb4IjAriPvfh3OcFpRRF2Wn4/t0XkHXskM/18TyP/PRU/Pb5/2C3WjDpoisg0QwGHzQLTM2aLneqHk+3YPxIuc9WiMAoIY5/wGX/FOek44d3/4OMowdb1z+ZJ/DbF+/AajZh6iVXQxIwGLxuDpjq1efVPyKWQCL2/bdUX1uDnz98jVl4/d0vxg2x6SndvZaQCe2m8t1SQHJS989lqNCkDkmDRkAsPfMIf/ydb92Kx2mrw2o2dbl4AIDRzIHruP2cvEIpQKNvBBFrznmfwlhfiz+//ahV4nE2laWF2Pj7d9CFR2HohJlgQudCMGwHK9R3yrUlxskQGy1FUUnz4egHS4sgkcRj5GDvQxlKARp1A4gk0GX/rPnu41aJx9lUlRZh08ofEBwRheGT5oAJmQuhbhtYwdDma2ZYArG4dQHkZmMj/vjmw9DZl9c/T6wjGyilOwgh7TKGZ8+/ivaFUspu/eOHF8ViWaw2PJKERMbgoTe+wNyrbsXUhVdh6sKrmmZkzuW01fH6fddi97o/2r1tDAOIRM4xqFzGgiEAx3t+mqhVYkwYpYZC1jUWiMCoIEp5CSDNf3Q8x2H/5jVY9fWH8GWRojuM9QZYzUb0HzEOioAQ8I5GMKb0TvGFaNQsxGIGB4+1NOf3HDBgwZxgiL08IgVGBVHyiy1mXHiOw6Etf2PlsvfPr38aDLCYjeg3fCyUmjDwnAmMMa3N/SNQgoPHTCgtb11cGM9xKMg8ES5WqmLs5voTcy+5omLFihXnbSp2RwtEq9Dq5Pe8/iRRqjWtOnDPhtX4+F/3teoYdxACyKQMlAoRlEoWapUIMVFSDBuogFTMoKjMgaMnjDiSWg9Pvy+WJV3rQFX2bXFzUEpRX6vH6q8/gMCf3+wT53Ag9+RRHNy2FrOX3AyinQihei1Yajqven0lJVGO2CgJikpbTukeSrVggrehjCIBYJqvN6OUoqGuGn98/eF59w/PcchLO4aDW//BnCtvBRM4HoL+L7DUNx/GuYhZitDgtt22dpsN21evmN5YV/PY1OlXPk0pzSfnudFztxMQjuOGLbn9cYUg+H5dB7f+AwDnJR6EAFKpM1Q4QCVCQpwM40epEaBioVKxUMhYSMRnokvjYqQoLrODZYnHmBGVkoWI7RoFoRQgUS2HcTzPIfPoXpTm57XLeQw1emQdP4QJcxZDIQ0BFWkAR+cISESoGPffFoUPvixtISIfLi0CEOtWRCgFSHTL/hF4DtnH9qEk7/zWR52mvqYa2ccPYeK8xVBKQ0DFGsDeNgEhBBiYIsdfG4C2GEYOmw3H92y/Qq0Mym+Uy98EcF57jHYrAaGUkrL8nMXhsX10vj62D279B/977NY2nY9lCVRKFoEBYiTEyzBxdAACA0QIULNQKQiYZlb/mW9LoMCRE1YcPdHgUTwIAUJ1klY5vdoTgcjBaoa3eJ/nOBzfvaX9zsPzqC4rQVlBNvoO7AcqUqMz92qKiZRgxiQtvv6l5Szlh0uLMHJwistYHIHIwGpGtnif4zgc27O1/fpHEFBdXozSvEykDBkCKgoAfNzWwRUMCAghbR5aWU0mnDy88wm5WpW37ttvv597441tVvtuJSAA4qqqCqZrdCEBchc7yh3ZuRHnzsy0VjxELEGAWgRtoBjJiQpMHqNGYKAIGjUD1gffFKVAURnF1t11XmNJVCoR+iUrIJV4r7dDYGUu36YCj/Ki9rE+TmNurEedvgJgRgAe9h7uKAamKFo/lGFlcBXJQAWh3fvH1FiPWn05wI4FGPn5V3gefhkAqCguRElR9gvRiYm5Bw8e3DZq1Kg2SX63ERBKqcZut65vOSYAAEpOSURBVN5Rlp4W1lhjwKhp85tWFh7fuw12qwUfPXcvbNbWz0AxDKBWiqANlGBAigJTxgUgKFAElZK0OuDI5iDYfbAeGdnep9OT4pUY3E/WdT4Q4vrrpRSwWtp3iMFxDthtVhCGBSGd75uPiZR4HMqIxXEYPUTW/Pt2005KKWzm9u0fnuPgsNlACAsaMBq08XCbfheUAmnZlvPVDwDAsV1bw0LDox9PFunyALRJMbuFgFBK4zMO7VxSWV56296t/wTlpaeiTl8JdWAQAOCHd1+Esd77VoDnolSwCAuRYkCKApPGBECrEUGtar1onEYQgMOpZuzZXwu73fM3GKgRY9JYDVSKbhmrB5Gofb96hmHAsF07qedpKPPOJ4X49oN+kIh9uPMIwIraN5EXwzBg2VN9LgmFQBmwbfBf8gIDfQ0PT1dBiPP3ZzRxcDjcl6S8gD3rVs9Rscrbtmz56qXp029p9ZL/LhUQSqlYr88at+Hnzy8vys68/tDuzUF1+kpQQWjKddDqCxIRBOskGJiswJTxGoQEiREYwJzjz2g9AgUy8jis21ILfY3nrPkiEUH/ZBWGD/I9mKlDoK4DUAhDoNG1b3ZzqUwOVUAgKBUA2n7rilrL0IFKxMdIUVDccni594gZk0af9Z24aSdDGAQGt2//SOQKKE/3j60cTBsnPwRKwXmZGRKLGYwbpUVmjhGFxRbwHkINGusNOHFy/4Pzhw1Zv3z58p1XXnllq6KWuiylIaU0eOv6H5fsWP33a9v//P3uLWuWB9VWloO2YvblbFQKFn0TlLhkXgieuDcat1wdipQEKYICz188KAWKK4AN22uRne/dtI0Ik2HyuMCuX0Qn2AAXzyqWFaHv4FHtdx5CEBgchvDYBECwOl9dRESoGA/eEYXoiJaOp4+XFYHjzlJ0N/3DsCz6DhmJdoMAgbrQU/1jA2nY2/Y4EAFweFkpLpUwGDZIg6kTdNAFeXfAZaceVmYc2f1kQkiItrXt6RIB0ev1KX/9+Mlt6Tt2/Xf9L8smZqcflXCO1vtwCHEuqJs+SYsn74/Bo3dH4YqLtYgMFUHUTtY0pUB1PYttu+pw5Hg9BC+BYyqlCDMmajG0v6TLF9AxghnUmN7ifVYkwtAJM6AMaJ/tQ+QKFWKS+iM4PAbU0QDKtetyi1YTESrGQ3e6FpG9R8woreRQWsnB4SAQHC2jZlmRCEPGTYdK07o4JPf9o0RsUj+ERMaCcvXAefQPz1M47J4fsjIpA5WSYMYEJWZO0kIu85KQi1Ls27RufmX+8UsPHjzYqrFbpwuIKTd39OYVXz6ze+2fT+7Z+FeMobqq1XWIWIKYSBkWXRSKZx6MwW3XhKJvHykCA9o/aMvOEezeX4/d+2thtXozHQkGD1Bj8ji1TzM6HQ0hFLTk6xbvMwyL6IQUjJ9zyfmfg2EQndAXwyfNBCsSgdqqAK5zQtk9ER0hwWP3xCAmqrmIfLysCI/+OxeP/jsX/2yuBG9oGabOMCwi4/tiwrxLz79/CEFkfBKGT5oJkVgCatUDDkOb63M4KGxeBESpYBGqIxCLKC6eqcHYkQEQiTzfGAZ9FVIP7HlWW1seTyn1+S7qNB8IpZSUZWZO+Hvjbw/u3vTn/KrCfJUvKxubNVZEEB0pR1IfJUYMVmHYAMl5D088IQjA0ZMWbN9dA0OD9+014qIVmDEpCMp2mKVrL6g5F5RyIOfMyIgkEsy+/GZkHD6/gCmtLhSjps5FwoBhoLwFguEgRHxjt1jnHR4iwqN3x6CmjsPSH8paJGL++fdSsJrvwAbl4aLr7mzRP7Muuwnph/aiOKftW5RqdCEYOWUOEgYOd/ZP/QGI+IY294+DE7zmrlEpz+SGFYmAJRcHIyPHjMoqm8fZmxOHdsbH9u939yGD5TnAt2XDnfKcpJSS/PzsyTs3//Hk7o1r5lcW5LVKPFiWID5GjumTgnHN4nDcdIUOwwd2sHhQ4HimA6vXVaO0wvuYPkgrxuxpQRjYV9TlQ5ezYRw14KtbBo0xDIuoPimYf83tbXYYKtUBGD55BsbPvRRiiQSCtRRMzdouX417NuEhIgxMlmHMcLXLz3/4ah2+fft5/P3D5y36JzK+L+Zfewe0IW3rH4VKjWETp2PivMsgkcpArWVgqs+vf2x2CqvN870ToG7+G9RpGcycFOR1KONwOJB6YPdd4VKuL6XUp7urU+bdbrjm0omHNqx6avf61TMqCvOUvjpKCQHCQ6UYOUSD+bOCMWuyGhGhDFi2YzOfCxTIyOXwx1q9T3kXFHIWs6boMHeqGl08k9kCQgBqTAcJuRiEaW7OE4ZBeEw8QIC6qnI0tmKqXBMUjNEz5mPmkhsQk9gPlDOCr1gNtqF9Mm+1N0GBEqSmG2E0uf7tHduzBZff9ZiL/ukDQghqq8rRaPC9fwK0OoyaPhezltyI2L4DzumftgtIVbUDW3fXn5WftyWDBgRgcD9Fkx+QECAxToqySgfKKmweN+Ey6PUSTUgoQ9PzN32+Zo1Xx2SH/9yLT54cu3/Tmid2b/5rRmVRgc/iEaASYcjAAMyfFYyLZmgQGdbxwgE4xSO7gMfqtdVITW/wWl4sIhiQosbVi3RdtuLWG4Q3g4MIbMCwZh1ICIFIIkVc8kCoNM4pxkZDDew29xG2EqkMiQOHYNL8yzBt0bWITx4EKnDgG06AKV0KpmN2DzhvAlQsBvdXeRQRTVAwEgcOa94/YgnikgdCrQl0LvE31MBuc3+NYqkUCf2HYOL8xZi+6Fr06TfE2T+NaWBKloL5//bOOyyqK/3j33Pv9AYDDL2LIIiICnYj2GJMNL1tenY3W5LNZn/bspstySbZkt1setmYXsyasomJiRpLNHYBC2IH6XVmYBrT7z2/PwYRBGbuwICazOd5fBJmzm3nzv3e97znPe87goRClAJbdtlQddwGf4/RjGmRGJ8h7eeHYxggJUmGfQdtcDj8WTAULpdt4pSS5Wtefu+9tkDnNKq/+PbTJyZ/9fF7f9y744tLDU0tKiHiwbIEmWkKFE+JxPQpasRFj115BJ4Cpxt4fPh5O6qOWsEFqJfIMsD4cSpctyIOE7MurKHLuVAw4NN+BTbu8kG/57xetDWeRuWerWiprYHZ2A5Tpx7dFhMkUjkionWIjI6FLjEVuVNnIDOvEDKFCpTy4O0N8Na9AIntwrQ++tJh9MJs4fDim80DfCIKlQavf3NyyP5pb6pF5e6taK6r9vWPUY9uixkSqay3f2ISU5A7xdc/cqXa1z+ORnjrXoTEOvzpW8AXBf3ca60oPzi0k5phCH72wwwUF0ghYvs/bzwPrP68C+u3GAL6URZcc9Oqe/7w9K0kgLk0ak7U9vb2cV+999IP9m79YoGxTZh4qFUiFE7SYP5sLSZkisGOYW0VngK1jRRr1utRdSyweBACJCXKsWxRDPIucPEAAAIeaFoJTpEJVj2w2iErEiExfTziUzJhM3cNKSCaqBhIpD1eYsqDutrAtbwPia0sYB84XBRNLb4gvORECeTnIUtbbLQIsdEi/O7+VDz67wbojX1EhHLgLFVgNfmD9k9CWhbiUjLO9s8gAqLRxkByprgTpaCudnDN70Ni3Tvi34jbzcNq8+/MVylZ6KJYsMzA541hgGULIlFx0ILmVqffaNYjZWXXdHWdTgHQ4O94oyIglNLo9575/S0Htm292tjeqhWyNF8XLcGcGVGYPzsS8dF0TB1xPAVq6nl8tkGPA4fNfiP3zhCrk+LyRTEoEpD16kKB8XbBXfcf0OSbwUZOGzAzQwgBKxIhIlqHiGgd/JWaorwHvKMBfMtqiLs2BrxfLjfFync7sKvMBACYXRyJH90WO6yKgqEgNlqEqZOU2LDV1Oei3PA0rgJNWAFWWzR4/7AiRETpEBGlQ+r4QP3T2NM/X4Xk9+xwBhaQaK0E8TpmSLHSqAjmzozE/77o8OtHaW+skW3/8L/3AfgN/BDyeQxKqWzl47+6fv/Obbd1tDUlCZltiYuVYnGJDktKonrEI9RnNTQ8BU7WcvhkXQcOVJoF1YOJjBDjsgXRmFusGNWZoFBDCCCxHwCpeQze+tfA2+uD3gelFLzbCM74Dbx1/4Go8yufdROA1g5vr3gAwK4yE1o7Ak+NjyUxUQzE1t0gNY/39E8dgOAefF//dIIzbu/pnw2C+kcIdgcHi9V/n8XGSPw68gkBFs6NgDZSHPA527vz67sppVH+2oTUiUopZd57/tHrj+/f88v2hvoJHlfgtIuJ8TJcvigOc6ZHIFI1tpXceAocq/biw8/aceS4FUKST0VoRFi2MAZLSzUhi3YdSwgBGOoCY6sC7doBzmMFEWtBRBF+PdSU8qCeTnCmMvBN74Np/wgid53g+2Wy8Nj0Tf9ZjG4Hj8kTlRCLxt4KaW7z4MPPDbA7zt70ktkRKMhVgMGZ/tkOzm0FkQjtny7wpnJwze+Daf8QIndtyH7PPA9s2mHF4aNWv7Ec06dEIi9b7ldEJGLA4SaoPm33a21bjEZFVIyu4a0PPi0bqk1IhzBff/berNOHy+8xtjbnuJ2BvfEJcVIsnq/D9KlqaBTeMRePquMe/O+Ldpyo6Ra0PFqtEqGoMBKLLom4KMWjL4RQsF49mLZ3wRvWwaOeDsjTAbEaRKQBESlBeTeox+KLLLXXgrFWgPFawPC2s0XqR8DuMjOuvDQa6cmhXfkqhG/2mPr7PwbtHwOY9vfAG9f39E8aINb07x+vBfBYevqnHMRrgThE/dOXbgdQfdrhd/ZFIiYYly6DWBTYf7f4Eg227uhEh2HohaEcx2Hfti/vpZSuJIQM2lkhExD7oT3Jz73+0k31J09OtZlNAfcbq5Ni0XwdZhSdB/HggYNH3fjfFx2oqRMmHuMmFmLR1dchI00BGfMZ4AltVbTzBQHvE5LOL8BD7MshQkQAYUHAg1Cvr+I89Zwdx18kPp/R6x8WIKI+/cOBoe5R7Z9uOwdDgFXg0VESZKULW4OlkhPMKo7Auk0GuP0s+T956EBew/HDBQAGTd0fEgGhlEr/9X+3XVV7ouoKm7lLHah9lFaMhZfEYFaRBtqxHrbwQMVhFz7+ogN1DXZB26SMm4Drf/JbFMyc79tHVzr42sfA8GOT93MsIARg4QHg8Q37z/1NjfAeRWtFyM9Vo+pY/4VkazYYsWheZO/fWenSUXesNrd5sO9A//PQRYtxacnQw/3R7h9/UOrLQ9Np8i8gSQlyiAWmzyQEWFoSia07u+D2DO1X6baYsX/nhgcADFoecsQCQiklz//xgUtbTp+8w2LUpwdqr1KyKJ0Tg7nTI6BVj73PY98hJ/73RQcamoQF9CjkLCZNzekVDwBgtDNB2zKB7sOC9vFdhydSyDKuxfjCfag69kW/73aXmbG77GxcwyWztPj+zbpeETFZODS3DbSeszNlAUs2DEZzmwf/eqlxQAzI1ElKREVemONShws4Xm2HI8BizrQUec+iOWGO3wgNg8l5auwsM/n1hVSWb19BKVURQgaEZY9YQL7+dNVUfXP13UZ9Z8FQleTOIJUymDczGiVztIjSjL147K5w4MPP2tHWIaymjkrJYsa8IpRcdefYnei3DJ7Iwaf9BmxMCYqvmIWGFi8qtm0Ysv03u7vg8fCYN8OXamDNBgNOVA8U+/mztfjB92KDEpG6JheefqUZbR39xUMXLcbVy3Tnu6uGxGbj0NoWOP9udqYcEpHwWSOGAMuXaFF+yAK7n+jUmsrDmsbq43MADLhxIxKQzs7OiBce/OHVLY2n57ocVr+ZS1iWYPrUSCyYp0VM5NiLx85yBz7+XLh4aNQizCzSYsGSPCTnzBi7k/2WQSVxYGJKAADpOfm49p5fAoBfEdldbsbucv8pAbbt8s3ozJii6v2sIE8xqHO7qdWNDoMXb3/YNkA8AJ/1Eam5MOfjeQqUVXbD0Ol/+JKcIENmavABjTHRYqiUrF8BcTnsOFb+zQMIpYBQSslrf/7FCn1rw7W2LlN0oPZ5OWosnh+FpLjRX8/SF54CO/Y58PHaNrTr3YK20UaIMXdGFObMjEJ87PlOK3bx4XRRHD3pQFJqPKIn39HPPZCek4/0nHy/AiKUbbu6eoUEABbM1aJosmpAu1X/a0dT6+D3/kK3PuwOoOq4HQ6n/3iqrAxFT8nL4OJWZBKgMF+NTd8Y/c7wHCnbMZ9SKieE9DMHhy0gVXv2TGhqrrnGZDZlBQpTT0qQ4bIF0chKY8c0apOnwPa9PvHwN13VlwiNGFddFotLZqlA2MG7h9dvBtM9/BwR32acLor/vNOO3eVmLL35Uty+sGTMjr1lRxe27BC+YlYXLcajv02/YK0PADBbvWhu9e+vUyhY5OUohSWMPgfflG4Evt7RCd7P8o1jByvkNltnJoAjfT8floBQSuVPPPD9K9qb6+a7rBa/+1CpWJTOjUZ+jhTMGIenf7PHgQ/WtKLTJCxdYrRWjGuuiEPJLCVYBuAYGWjSDQPaEeM6MBAmSN8lHE6K515vxf5KK6bMW4ySK28e0GbXhk/71S0uWXETpl6yBF+veR8Htm8c0/P94y/T+onHsVMOmCy+N31MlAjjM2TD3XVI4Hhg5z4rOjv9/34zUhUYny4Z9ss5OkoMiZSBx08VeEuXESf2bFuOUAjIxo9fLXV0668zGzr9JmElDDBzqhZFheqAwS2hhKfAN3sd+PCzNsHioYuW4LrlcZg7XXF2GTQjBaOeMGbnfbHTaeawv9I3PRqXnIbUrIGL9lrra9BaX9P7d0pWLopKliI2OQ2lPYKz/r+v4Wj5zt42K+68D1n5UwEAa954DjVHDoz4XH94eyo0Gjm4iOLez158853e4LJ4nRj33p14XkXEZOZx8IgtYAH3CeNVkEiEz76ci1wKFOapsbvc5DdXyMGy3TcD+Hvfz4K23SilulP7di9oa6gr4Dj/sy4ZqQrMnRWJuKixXVW7Y59PPIxdwqyEWJ0UN1wV3088eEhAk38yoC3XsQHEVjk2F3MR4XBSvPexL79tXtGcQa0Pf6T2CElRyVLExCf1fr7izvtw6U3f7/3ujl8/ivvvL0FSwvAe7J8++jykMjn2VpjAZj8MMv6x3n/XP/BUb7s2vQcvvN6C2gZhTvdQw1Ng935bwNmXmCgJcscrgpp9ORdCgMsWRoIJUMP51LGKVEppv44PygKhlJLN7796aafFvMJsNPi9gwoFi+lTIpGZIhqzlbU8BXZVOPDBmjYYOwWIB/GtXrzpyjjMnCrvtzCOiiLAxJQO2ITp3AhmFAq/dhi8qKn3hf9PK1BBMvbR3cPG5T47dAGAmPikQa2PwYcvi/3uOyt/KrQxcf3+TiUp2PDl2WTIt/7iYcQm9V87/Orjv4aly4jv//4JRETF9H5eOHch3vzH71F5xAI2ala/bWYuXg7gbJH2Nr0Hb3/iwB/+tAAAQJxNYFzBL0AcDt12igOHbQGdp+PHKZGRMvJ0ErpoCViGwOvHitHX1BEA0QB6C/sGN4RxOJKPHa28pKWxLjPQEv38XDWmFKghZsdu6NLe4cXqT9sCTnkBPtWN1kpw49XxA8TjjPVx7j3hOjaAHQXro8PgxbOvNqO6zicgs4oi8JM74i8KEXG5KZ5/o61XPPzRd/gyfWokrrhqBuKS04dsv3B+DDLTAtfZzSuajfSc/jk83n7yTwCAgpnzoUtM6ffdvY89j2cf/NGA/YhE4n4iIpXJceW9T4OM9wUR0u4a8DUPg3E3jWqfUgocPOJEY7N/56lEwiA3e2TDlzOolQQZqTIcrx46OtvhcrBNZduz0EdABA9hKKVk09r3rjB3tS3vamvxG7IXGyPF/FlapMSP3ZStrZvHf95phV7AbAshgC5aittvTMCcafIBS/LH2vqoqXf2igfgi4Podlw4iYn9YbbxKDtwNvVjwawSrLjzvgHt9m5ei22fr8YVS3R46YlsfO/aBMTqBk6Rf/bm8zi0+2t875oE3HZtDCLknSE/5ylzF4EVifHoj64d8J1IJMasxSvwq6feAisS94tAJspxoOP+DF6aPqp92u0A9h2wBMz9kZ6iwPhMOUTMyH8rDAMsma/1m56CiETsgaOHivttF8Qxko5Wlhc3nDwWF2jadnK+Bnnjh+8VDhaHk+LplS1+1bO3Ewigi5HitusTUDRJJjifB9e+FsR2aGwu6CLA6aLYutuC1/qkzSyYVYLbf/kXJKZnDWjf2d6KmZNcuOnKKGg1BJzXjfIDpgHtWuqqcfl8ES5fpIFMQsFYyzFaHKvYPaiIsCIRJs8qxa+ffnvAd0SZBajyRu2cKAUOVDlQfdr/Ik+GAfJyVEiKZUL2ko7SisD42xlH2I7G6sn9zkPozvetf3eevcu0xNJp9Hu6CXEyFE1WQxa4ol5IcLkpnnmtFVXHhS1s08VIcfWyeBROFC4eAMB0bQWDCysBzvnC6aJ46pUWvPxWKw4d8S2P8CceezevBd/6MW66Mqo3UtRu59A1yAzZVUtkuHyRJmSFuZ77/U/gr3iZPxHJKZw+6DY09upRs0JsdmBPhRlmi39LNzFejvwJypDObqpVIhA//c5Sr6ijuWFq388E3SZKadT+vfvy2xpOJvizPggBCvM1yBk3NmUdPV7ghTfacahKWKnAmPg4/OyJ91F840tgIgtH/wS/pVi6+V7hOENkdOyg4sG1fowpihewdI6rX5h5Unoapi8cmOA5TtkU0qp+1VX74XEPnMnoa10MJSJDQZRZoJkPhVxEeArsO2jHyepuBEjJi+xxSoxLC20uXqWC9WuBeECJqaM9rm/lOkG36ljF17O8nOfyjpY2v+0T42WYVqiGdBgRccHC8cCLb7aj7KBZUD4PXUI8fvvcaoybNBOK2EIg5T7w8oFJLXlIQDMeHPXz/zaRN202rvvxrwf9jjFtg0zsHLDoTaqIQHRc4nk753Oti2MVu/HID64SvL1PRP446G9ouJjMPLbu7IS1O7Clqze64PGE9jmTSolfC4RSSowmC4s+mQwDCgilVLxv47rsjtP1uXwA62PiBDXGpwXOtThSeAq887EB+/YLEw+NRoQrlyUjKSP77PkqMwHFwJtPGSWYiKmBdxqmF7lK3S924wxc82ow3UcE74erexmMu2VsTtrZjJVP5mDlkznQRfumuxqrjwe1C6LMBE1/MCSWCMcBX++0oK5RWJqJUzXdKKu0Q2CZJUGIRMR/WhNK4bFagT6ztwEFxOHojDe0tWbV1x3369WI00kxeaJqWPH4wUAp8Ol6M7bu7ApYegEAlEoWVy7Pw8ybnhn2MX3BYwdH9bouJmIiWdxze7LfNlzzaohaXwkqoTBj3RuymKFf/CQTkRrf7/yJn98KR/c5qSy6tkGtBNRK4MmHM6GLFsNhtwVlhQA9LyJ55ojOlVKgosqFLTs64fEI6y+ni8eGLUacbuQFvUSFIGIoEuL8Oy9dnBMIxgKp3LllKk+YUpfd/wzH+EwlcrNG3/dR3+TBus0GOJ2BO1osZnDZgljMnK6DQpsx7GMy5u1gEFwh8G8zDAOUzFT2vsHvu6YR3tNP937Pta0JKB6M4xS45tVnt6l7GYzTbwmSXghvw2/vS0LR5KGT3yXGy8CKfD/v5tpT4Pmh759E7BORh3+diZOV5YOKSJe+Df+4/9ZBt2/sLsDpEUSsWmwUm7Z1Cl52cYbmVie27zXBGaJlWYQARQUBEgr6jBRhFgillCnb9lV6V2vLOH/tlEoWBRNVkI/yyndrN483/tsacH4cAEQsQcmcaMyfEw2FfGDYCm/aBxi/Gt0T/hbDMOh9g8ulHMTGz0ArloNWLAfb9FxAy4OAB9P6BpwH7oV9/71g9J+AEGFvX5GnFQoZ8PMfJmLlkzlI0A5cgUuoC0/8IQNZ6cJC3iViIDudHVREqKUSEfXfx5VzmvHs737cb7uWumr8+8//QEPz8ATEywFbdlpwvNoWtCXBcRR7Kkw4etIV0OkqFCEGgNls7tWNQJGoamNtfUxTwym/dk16igIFE2Sjan04XRRPvtyMEzWBx4iJ8RLccUM80tLUkKjiIJn4rwFtmK5t4WnZEEIIBUsDFyI/A6XAqdPd2LB1KxqbHZiUq8TyJVGI1DD94ocY0254O74EG7sMAOA98ReIORNAALHI9482PAxO/DgY7UwAgKfqF5DybSAKYFqhGtV1Tjx400L8Y/XXUKh8b1ja8v4g1+ATkb//YTwefLQM9y+fjuwMCX52uxQEPHIzAeAE7l9+1gHr9XhgMrQDSAi6z3ge2L7Xji83GfwWefKH2ezBmnV6jM9IgkY18gdQiFsgIiKi15zzKyBtezcnEYVsXKASDWkpcshkwSczEYqXA559rRUnBAaKLV0Qhcl5cnA8DzdhQaQxAo7im4HB+L+MyjWE6U+nice7H7WhvskOr5eivcOFA1U23LC8/7okQniI6p8E3/AcAEBMXQP8JAQ82JqHfPcPgIQ6e19myxdHYX+lDadOt+C3N5bir38YB5XYAoY6B02ETAiQmgC8/rTP4S4WodeaIgSYkAn86CYpHn+qBiOBUuDAUTc+26AXZFH7o6bejs07LFi+eGTlRngKlB30HxIhYaQUgDAB2XmoIpujXKG/NhpN8LkYg7ooHnj9v3ocOiLMxKMU2FlmwfyZkaAi1aDWB9+1B6xx/cBtGSWIOj/wQcKMCEqB/VUO1DfZe6ciPT0i8sbqFjS2ROHyRVoo5b6HlhAeLHpeYkO8ZAkGbyNigT//MhVnEo/LRB2+r/28rAnBkMNxhgATs0V46BfjekWkeIqmN4erUExWis836NGuD1w/KRAcR/HFJgMS46UoniwbdgS42w20G/z7YcRKKSBUQI4f2p1s7jJk+WsTr5OOWuAYpcBHa03YFSBr9LnU1Drw9kcG3HJT9KDWB2PaHrJyg2GCh6cMzFZugMFKKWC1evHFJj3KD1lx2cJozJ+pHHFgmYhFSAuBnRGRN57JAeDznwRzjh4v8NkGI06d7g44DStVKMCyLFwOB/wlLbfZvPjfF3poI5MwPm144e1uD/X7kiaEgSYyCsDZsf+Ql00pFenrGuSdre1+14TGx0ohlYxOSrjqOhfWfy1sxqUvXi/FrrIuHD0+0BzjO3eDGNYJ3hfX/hkY065Rub7vKgzhkZ+tQEqSfNDv3W6KxmYHXl/VjKdeaUFzq1dQ2dGxvQaflSKXBiceXg747CsTvtraGfClSAjB3KVX47YH/oTx+YFjkxqa7Phio2HYszJ2Bw/qxwdCGAKtLgEQYoEYDAY5K5Eo3Q7/TsuYGCkk4pEvJz4Xi5XHW6vb/GaL9gdhFSi48aMBnzPmHUHFGjCWfWOWz2S02bDVhE6TBwmxEpTMjjhv50EIkJUhQem8GDic7WhtH3wGw+ulqDhkxaEjNkyaoMJVl0UjKUEKhWxsE3OHCo4HvtpmwZr1ekEWdd60mUjPHP/svOU3drQ11t/R2nB6vLnTMGR7SoGKQybsq1Bh3szgC7+bzF6/FhEREW9sSuoh0ueBGFJAzOaTchEYFfygVLBIjheDDcFy4r44XRT/fqW53xL34CEQSVUj2P788vhTdXjswXTIpKF5UjZsNWHtxk7ojZ7eyMvzKSIsw6N0lgLJ8cn46PMOHDtlGzSpL6WAx0NxoMqKymM2SCUMCvJUuLRUi9hoMVQqFmJ27DLeDReeB7bs7MZHn3UImnGJiU9CxsRJb89cfstLIpGkftayK9WG1qb7dm/8TOkvItzrpXh/TRuiolMxMVsk2B9CKfDpOqPfWRgWrDcpa8KWvp8NKSCtx+tUPCuK9HdQtUosuBanUDxe4MW32gXNuAyFXKnGs2v3Dewky0EwhnUXRW3XplY3HC5AFqLYmpY2V2++T73Rg9aO85sUmhBAxFJMGCfCD29Pxsatndix1wizZfBxPqW+h8Pr5bCnwoyygxawDIFUxmDSBBUWzI1AVKQYKgUDiZSBRHThiArPA9v22LH601bYnYEtarlShbxps765/Oo7V6rV6pOEEJ5S+mRmTl58U+3JO+pPHvW7vcnswVurW/Cj25OQlcYK6oeWdi+OnvKfQsDr8XjzMvO29/1saAFpadYQhgxdLBS+ym2+UnqhgeOAV97twP5Ki6AZF6lMBtcgU8yEEChUA73ipGv7kMMRnkiBnCdCdi3BMGOqCqVztfg6iJIE3xYIAeKieNx0lRZXLNLgv2sM2FVm8rtQrFdMQOFy89hdZsLeCjMYxjdOZwiQHC/DjCIVVEoWackyJMZJIRGPvajwPLBnvwOr/tcCW3dg8WBFYhTMWni8ZMUdK7WpmbtJT3QdIURv0uufrz5yIMPY3nKJzWzyu5/mVgdWvtOMu29JRE6G/1W7HAe89n5rQMtIqVZysXlT+9VzHXKUZOtsU/Ac53cMoJCzELGhuSMcD7z0bjt2lZng9QZWD21sLP7vn6+COad2i0KlwatbBy6K4p3toO2fDrk/ShS+ZDF9cTaDeIwhuT5/MAQoyA2cuu/bCiGAmKXQRjD40W2x+Pcj4zCnOELwy4mngJejcHsoXC4eDiePU3V2vPtRB15+qxW/e7wWv/pLLTotbMjWjQg6Lx7YWWbHynebYLUFFg9CGEy/ZGl76RVXPp9XXLyKENJvo0idrvx79z38dtbEgmqW9R8DSinQ0OzAv16sR3mle8hIVZeb4l//acaxk4Et/inzlnZqNJp+TpghBaTbw0t4nvqNA5ZIGJAQpB3jeeDVVR3YU2YW5FySyhW4/68v10yes6j00hvOFg0fSjwAwOHg0NwaXLgxbXwJjD24FZoXC7vKrNiw1XS+T2MADAF0USzuvTseTz0yDjOmChcSf+gNLpQdtILjx8YE4Xlg6x47Xl3VHLAo9hkmzZhrz58+/9nCS5a9QoaI69elpb1Retl1azImTRGUBMdm8+LfL9finy+04NgpJ8xWCpvdN2SpqOzGH/5ehwOVgWOsCCFYdts9j577+ZAy5ui2SHjOv4CIWBJ8XYhBOvr11Xrs2CvM8iAMi3sfftKokEvnEUJa3W73/Qd2bHm2rdF/tmy7g8Mr77bij79I6a38/l1CGymCLlrczw8S7OKtsYQhgC6axQM/jIfFFofmNhc++dKAoye7wQ1zXWO3gCFEKPDNtlix6n9tglfXjs+d5J0wpeiZhTfc+jQhZMgb0+MPebjmZFWC3dR1c0tddcAfsy9NohUHBCbeGowp8xYgffykD879fEgBIU7GyxOPX08bw5IROSR5Hli1xohtu7oEJ0e59d4HXRGpecVpOTltACAWi1+495EXbnv4R1cVD7WNvqURP18xA4QAL7/dgfvujus3d88TGUjec8O/kIuAq5ZGo8vkvSCtDn8QAkSoCSLUMuTenwy7AzB2edDa4cLnX3XidL1DUE4MkYigaIo65DOG58LxwJqvzPjo83bwAoMfkzOzkTN15jvX/PA3/ySEBBxLEEJslNKHzCajuttiWu5vajcUSOUy3P7Lv95HCBmQN3RIAVHEa5xsA+v3YpwublgJTSgFXB6C1Wv02LxdmHiwIhEWXX+LddZlc2dGxefUnZmL7lHkRVfe+dPGDavf1thtll4HKqUUjdXH8ODNi3qPW37IjDdWM7j9+liwPcMvryIPYln/hDjUXgfiah/VGxOIP/2jFk/8KQPyEE3lnsuuMisS46SYPyu4MOzzBSGAUgEoFWKkJokxvVAFhwuwWDl0dnlgtnhhsXmxfY8ZzW3uXrM8KlqCW69NQOooVQmgFOAoA5eLxydfGrF2o7AHmhCC1HGZ7onFc96+9ZeP/pEQItiLTgipc7lcf3jhjz/RnCzfN6erSz/sOtf+YFgW1//0wRPxKWkvDfb9kAfNiNE56sUyv5mK29tdqG7woHCC8CxklAJ6E4t3PmjBoSNmuN2BxYNhWRSXLOm+ZMXdl0XF5xwn50ylEEIsHo/nyiMVO9fff8V06TOf7wUA2G3WXvE4g8dDsXOvCQCD61ckQhKZBWn+kwMP2vwqGGf1KNySwYmJEiFeJ0ab/qz1qjd64HQhZGkSZNL+A0690YNO88W7IpkQQCEDFDIW8bqzsepL5kfC4yXgeArK+3x1LMOPmnh0u8SoqXfi489acbJGWHJvQhgkZ6S786bMe+f2X//tT4SQNkEb9kEqlVY6rNaHX3rk/sdPlO+bbjIbQioiDMNgyty51itu+fHcoXwyQ7owknMmmRmW9SulLe1OHDxshVGgd5tSoL2TweurmnGwSqB4MAzyi2Y6bn7gsVvG5eTsHepCxGLx1jt/88RrYqWC+2FpLn5YmoufLx88q7bDyWNvhQmbt3cC7MBw6vNhfYzPkOHGq2JH9RjXXjG6+79QIASQiCnkUkAhB0Ts6ImHxS7C3gorXnmrIQjxIDQhLcuVP/2Sd67/+Z/+RAhpHe45yNXqrff99T+/yJ0ydUdEpM5DQhQ2zYpENGdioeXn/3hnDiFkSB0YUkBSJ83t8lJWz7BDr0KiFNhT0YV9ByywOcVDigilgJcjqKnn8eo7TTh81CJo2EIYBuPz853X/ug3v49LTPySEOL3dZmRbfvdbT97qEIskQbcebedR2V9EqT5/xz45RhbH/5obPGO6tTjwSpbSPNqfhegFPDyDPRdDNZuMOCt9xuFlVIFQAhD45JT3QXTZ712x2/+/lulUjniJLASiWTfj/76yt3Fi5Z8GZOU5BAzzLDvKCEEIrnEO3vxZZ0PvvJJsVQqPeyv/ZACEhERYY2Ji+lMSEnyezJmsxcbNuuxt8ICq10EL8/0/uDPCEeXlcUXm6x4ZmU9qo5bBU3VEkKQMi7X9b1fPPqvnMIZr/vzTJ/dZqYlWaG7culNt7X5Ez7AVxX+Tys/GfA5ddSfd99HX/769GnYhh+UG5AT1Q6s+Sr01d++rVAKWB0iHDnpwQuvN+Lzr9rh9gp7XglhaPK48fbiBYvevPPBfzxICAlZkJFcLq/9we+fvPGW+/7yt5SJ+U1SmdodlDVCCEQyMRefkma9/5FnNtz7+MpcmUx2MtBmQ8/CEOLdvOa9+oqtm+ua6xsz/b0G2/UurP60BUdPaDB7uhYpiRJEqHjou4BDVVbsKu9CQ5ND0DQtADAMi5SsbOtdf3zshZzE7H8RQiyCNgSQXlLSbhGLS+uqT249sndnPD/InB8rEiOyT8Hmftfd/PZ5sz7idWIkxUvQ3DY6YeYiliInS44T1f0XSO6vtGH54qiQLnn/tkEpwPEE7UaKbbsM2PyNAd124dPCrFTkTRmX0zZ3wfJXr7j7gX8QQkaeCOQcCCEuAI9RSt9c+8ZTv97y+QeLu9ratDxECsp6FJyLYzmvlxDim5RgpSIOEDkox9vlCrlzxS33VM2+7MYHtXFxR88NYhvymP47jcY9+dvv//rY/p0P2IwmQT8vliXQaERgGQKrzQuXKzhrimFZxKekWX760DMvZWVm/Y1ERZmD7UhKKVt7bNecFx763cfN9Sdj6Dnil5Y9EX9btXHAdjznAk79CSLbPqGHCjm7K2x4ZmVzv88e+sW4oBZG+cPtIbj9ZwOD4268Soerl0YNY4/fbs7MsFhsBKdqnVjzZRtO1wdnEkpFck/yhJwTC6668fmF19z1qtCHc+TnTpUnDpYXNh0pW3Li5NHFjdXH49pOVzOMTIaE9HSkZ0wwJWdlb0qaVPB1ijpplzYjwxTsMfx6bQkh7RvffGafx+asP7T368xANXEBX3akrq7hBSixIhFikzJMN/zo/17Mmlb8j2Asj3POm6OU7rrr93++/9nf/99LZkOboGWn1rYjaK/cjewMdszq+grh8adqsPLJHKiVI99X2AoRDqWA1S5Cu8GLLduN2LmvM7jcpYRALpc541PH7b/hvvv/Nnn6si9C5eQUdnjSDWBnz78/91SUO5N7lIbiXAIGki664/61PNwvauN1ww9jE4BYIqXpmVn6W37yq79MyJnyz+GKR5/O804sWvDxzT+875/qCG2/bL9ejxtd+v6zZm6XE8eONuKN95txqo4LWZbrYInXiZEQNzCHU12TNyTnxDDAQz9PG/D5qdMOPPJkw7CjPL9NnPHd6bsYbNnRhadersXXO4JLfEwIQzUarS01K3fdI89/8MPCGZevHUvxGPycCCWEcIQQPmSzNYEaPPLII54P129vajh2gunSt07yeNwhL94QoYn2ZE8pqll2/V33FS+9erVcqxWe3tv/uXM/u+e2ytjMHGndsaoCj8spBQCrqRMHdmxCTuF0mIwdMBk7ULl7K176889hsXpR1+hEXIwCuhhhS6FDiTZCBJmMRfmh/l2wfU8XMtLViI8deT1UQnzZ3tr1/X0tnV1enDztxKyi0BW3vpjwza4QtHcSlB+yY9XHrdixtxMOAUvw+yISydzRCQkNuZOnvfGDR178pSYmpjmoHVxECP4p1hzcm/3x68/8+njlvuvs1u5IIcOZQDAsC6Um2jRn6fJDhcWFDxSWXH94NMaH6z/4IMrQcuyvmz9ddavdbAo4ECAESEmS46ar4lCYJw06s9NIOd3gwotvtKCpdaAz9Vf3pmNqvnTEQ6yhfCEAkD9Bid/elzygnu23GZ4CbUaC6lonvt5uxPFT1qCnzwkhVC6VOXSpaXsXrrjtlSXf+/4HRGixm4uUoH6G7e2Hx739jyfvO121/3vdXZ0xLq9n2I+WUqHxaCI1zYuuvfvjiaXL/pWRkRF0JF4wfPDBBzrzyb1P7Vj3yTVOe7dcyDYJcVLcsCIOM6bIv3UiwvPAP15oxqEjgxt7d94Yh6WlkWN70WMMpYCHI/B6KY6dcmHtJiNOnLIOKy6GlbJeVYSuKzEp+esHn3rjIVlE7IURSDTKBOUy+9e/Xur6cN2afQZ9U7fX7k3zuOxKjuPENAiplktlvEyuap0wtehQyZXf+23OnMVvZAzD+xssH374of3mFVfsjIzW5hs6mtO8bk/A96utm0NNnQMyuQRJCVKwzNjl4tRGiCCRDhzKAMCuMhMmZEdCFz287NuA7zrmFGtwstaJDv1Ap7eXw7d2KEOpzwJr0QM799mw6pN2fLFRD4PRPSyrQyqXO3UJyUcWXXbdyh8/9uLvxDJVx/m+xrFiWD8/SilT9s0XM7/5/KOf1VcdnNHtdsW6u20Kj9s96P4YloVUKXcSSvRJ6dntcxYtf2HCvKWfjoVwnMubTzw6zth++oWj5TtKbBaLIH+ORi3C/DkxWHyJFjrt6IRFD4Y/KwTwTe+mJ4ugVGDY1gjHAX9/oQmHjw4Mw/42DWXOWBscR9HQwmF3mQV7D3QNe8YQAFipiFNFxHSmpKZvu+VXTzyWmZNz6Hxf51gzokeBUio9XbG1ePfWTTcf3r+zoNOgV4nEIg0hjJRSCp7nnG6HyypTKLrzCopr8uct+XDyhKnbo8aNCzq2I5R88PajGc2HTz91vGzXEpPZJGg4I5czKMyPwBVLdMhIJmM2zdvY4sYzK5uHFBEA+OVP05GVLkGkmgxL3Bwu4K6fnxj0u7xsBR78WQok4iB3eoHAU8DpApraOFQds+PwUQuq6+yC83QMBsOwNCIqwqrQRFUsWHHTJ5ffft8rPUFc3zlC8hj0zC9ruk2mDL2pIdfU2hrHuSmv0iW0aWM0J2JjI+sArfVCciitffFvmacb6p4+vO+bxZauTkEVmEUiguxMFa68TIdJOeIx84sEskTO8PsHMjEpR/jK6DNwPPD0ylaUHRh85nzKJDV+cU/iRSMiPAVcbt/K6yMnndhbYcXRk1ZYrCNceUwIVGq1S6GNPJk7sXjnVff+4e+JiYn1I9vpxc0FFC41tlBKybq3Xslsbjz69P7tmxZ36g2ChjMEQEK8DDdcGYfpk2UXnIj8/Y/ZiNESUOqL+WBZAqmAZMJCROSe2xKglJMLTkgoBdxenzPUy1Ecr3Zh3wErTtbYYDS6QxI/I1ZIvRGRMc26hOSKm371txdycvK2XkgvxPPFd1ZAAJ+IbFm3LrPp0PYXy775cr6+rU1wjEtqshw3XRWPKRNHp6znYBw4Ysen67pQ12CHa4igpqLJEbB1c3A4OahUIqQnyzE5X4X0FBFELIGIJRAPUfLA6SZ4+J/1qGscupjY+bZGzsRqcJwv6pnjKeoavDh2yo7aRgcamuwwmT0hW2EsVkg4rSrKIIvUHF52+72rS5bd+M53dbgyGN9pAQF8InK07Ou8Y/v3PV62df2lDadOynheSAZtoHhKJH58exwUggZAI8fLETR1ELzwah0amx2Ct2MYICZKgpREGZIT5cgZp0B6qghiEQHbIyoMS+DlfWHbb7zXiOOnho7lK56iwX13xY96btkzEaEc58u6znEUjS0cGlpcaG13oa3dhTa9C51d7qBqJwtBIZPxGl2CXiSV7l2y/Kat05ff9IZWqzWN6gVfhHwL/OsjgxBCKaVHoYx7SKONYXau+2hx9dEqmdfj3ztPKaA3uGG381DIRnccw1PA7gCOVTtRdsAKh5MDIRA85cjzQIfBjQ6DGxWVFrAsEBkphi5KivhYKWJ1UuiiJZDLWchlLC5bFAuL1YOWtsFftGUHLNhfpMasaSOv/HdGJHge4HgKngd4noLjgYZmL5pa3dAb3OgwuGAwumHscsPu4EYtR4pGreGV0bFtIpHo0LIV39tdeus9L/qW3f9kdA54kfOdFxDgrIikqqW/j4yOJRs/fmPxsf3lUo/bv7+B4yn4Ucz2Q6lvhqTqhAvbdplw9IQ16LDqQc+bA4xGD4xGT6+lwbIEGrUIMVESREWKkZaiGFJAAKDsoA0TJyhB4Jv5OfPPd+I9q7V6/gtK+/y/73Oe+sSivsmDtg4PzFYvLFYvzBYvrDZfblOLxQNnkKu5hwNhGGhjYqFSaWrU2sijJTfdvWPKjEVvqtXqDtz2o1E//sVMWEB66BGRI5NVUQ+5vbzKZOwsaTjlvyZMpEYMuSz0y1fPJJ2urvdg+24Tyg+ZRr0kAcdRdJk86Dqn1MNQls6hIzb86yUOEjGBWMxAImYgEREQxidQHi/fU4qSwsNRcH3/9vJwung4HBzcbv68LVyUKRSIi0v1cgwOZ+TmNS+47s41uQXTPxjpQs7vEmEB6UOPiBy3tDe9o0tI8isgEjFBbrYCyhAXlOMpUNdEsbfCjD0VXdAbXec15eBQBla3ncPJ6pCseRxTWJEI2phYRERo9axccWR66aXtS1fc9qooImLHaCT5+bYTFpCBSFuaW6Nqj1f5bRQTLcHMaaqQBZSdGa4cPOLAus1G1DXaBdfKCeMfhmGg1cUhOj6pmxCyP3V8duPcS686lDN13gcA6s/3MvuLmbCAnENnVVkkoe6JXQb/yxnidDKolaEZvvAUqKnnsW23CRWHTAOGEWGCRySRQButQ3RMrM3L81Xxian1RUuXtUwsWvSxWq0+IKSAU5jAhAXkHPbur4yxd5tnUj8Dc5GIICdLDoWgIHj/cDxw4IgLX24yorq2O7iMV+cgkzHQRUnAML6aKBarzyE5lgWlzxesSAR1hBaR0TqIFbJGcPREQmq6ftrs0paJ85Z9qVKpygFYw9ZGaAkLSB8opeSFv/w8qq2xaby/dhqVCEWTlSMevng5YNuebqz9So+2DteIH/SsDCWWLYhBahILjvetJt5dYcXpeicsFi/MVi+67Rz48+W1DBWEQCZXQB0RCXVkLMeKxA3gPfWRuhhDZt5ke/7kmfvH503ZCqWyBkB3WDRGj7CA9EdMukza1oZqv2MTbaR4RMMXSoFuB/DVN2as32wY+RqNHiZkqVCQJ4WI9T0vcTEsMlKj4XAADieHw8ddqGt0wmTxlYFsbnPCGqJjjzZaXRziklJ5kVjS5vF6TrGsqCU2Lt6UkTfRkTGxuDJp3MRDSqWyAYB5rJIWhwkLSD/MDYeVCo02o9vifxZPGynuKRMZ/IuNUqC2mWLdZiMOVJph6w7dAyyRDAxoY3rrybIomaUAN0OFTjPQ0OzGux81nX8B6anPHsj6yiqY0pE7qWhzQlrWnkl5kw96VJG1crncAMAZtjDOH2EB6cPhw4e1Toab6k8YpBIGmelySMTDE4+aBh5rNxpQecQCuyO0L0oR639MRYivzGNUJIM2PQOTaeTiQQigVIoQqRH3Do0YBmAZX5g8yxAwDAHL4uzfPeHzEgkDqZRBU4sTtQ12v/6fqOhkR2R89qtTSy7dEtJOCzMiwgLSh+bqw9FOk22mvzZKJYtp+YqgF9BRCpxu5PHpOj2qjlvgdIY+uINhhZ0UpRS79nXC6Rq5gBECyGUM8nPVSE2WQ6UgSEsSgWEAhvREqTK+/CkM46s4SHr+n2EIWAbYWWbHfz91+RUQp1mf2N58RB3yTgszIr6FCeuGB6WUNNYZ1B36pjR/7VQKERSK4LrtjOXx2Xo9Dh8VLh4isRgkCKUS0pJSoE1PcaAqNDmdeB4wmz3o7HIjIU6GaZPkiIthoYtiEa1lEBXJQKshiFATqJUEKgWglANyKSAVU1+dmnESKOT+fUp6Q7vY0tmhoJSGX3oXEGEBOQvr4ixKY1uL3+dQpWIhCyJ8nVLgRB2H/33RgYNHLEMuw+8LIQRp2bmOlKw8TiITPlfMCZhd4XiCbbtMMJtD5/tweygOH7Ni01Y9HMOwrKQSAqXCf592GdrB8TQKwBitfQ4jhLCAnEUiV2i0Nov/N7NSLoJULHSoAJyq5/D5Bj2OnLAKKvPJikRIyZpwcGrJkjcTUtObxRKJ4AsIFLlKKdDRCezbbwqqY4RYQQ4Hh8qjFqz/2gRPkNokkTBQKf0bFuZOA8SsIgFACOrzhQkVYQHpoaHhsFQlVes479C/fpYlSEqUQCwK/KY/4/P4YqMBR44LEw+xVIKsgskn5iy79tmrlt/4NMuQZiaIlGeuAD4NjifYt9+CDoPwfDgSmQzpORMRk5AUsK3V5sWmbUZ8ucUCbxDuFbGYQK0S+R2DObq7IRGzqRa9XiN8z2FGm/B4sge93i0jIlG8vzYSMYPCPGEOVLsTWLfZiMNHrYJ8HlKZHDlFxbVT513xytLrb18DwCGSSbwMI3y4FOg4HAfs2NcVVL9oImNw2c0/gL6tGetXrYTVbPLb3mTxYsMWA+QyBgvnqMAKOH0xS5GSJIFEzAzpSKU8D4/HO85QdzQyqAsIM6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gz8zUAzgbwXwCDgVPpPSLlTFzReRrePLQIFqdUMz96vFioq6tHfHwblveuB7BHA/yoAw6rARukfRGTROB0JzDIDvRyAskiv5KHgcsvv0yXaTKV/frbb+n78vNRWVnl/StcbIZCgoFO5J/+ABYB6Ox9R7q+Ax7odSuWFf2EvTWHAAAOhxMbcndg0oSz/X+GegC/aYAleuCQGhC9duisBHBEDazRAgYRGO4AzrcCWS5uhKywsdlj08dmj8WGnA1lX331VbpMqBMFHb/fE7VAnJmfAOBpyIR5ow66FAxJHuBx7O33F/v/JFUC8GE88HICcFDTNMw9CIBFJQX7ywlSLZ7CwtjsselcbIaUwkAnatlYANOa+wWVoEKKNsnjWN62Xf6d3SIA78cDa7WAU/DvMQAAATiuBv6dABxUA06l3yYiUhIDnagZ4sx8AcCVALTN/V6904rpnSbgyqxpSNEYAQAnTvjZ7LpGC2zWwK1bvnVOqICXEoD9asDl96P8/00iiggMdKLmdQYwQ+a4E0AuADsAxKn1uNA0AS+dOQ+zu1wEADCb/Zi6Vgtgmd53E7vBBZxpB/o4gBQXoPax4mqpCngvHqjw+0tBQD/7oii28dsIEQUKA53Ih4aR7f8AkCFz968ALgLwHABRJaggCAIy9Gn4U4/ZAAC704nKSnPzT7JHA5h9fAz7OYAXLMA/aoF5NcC/zcDTFqCvA16L00mOqIDv9bJ3BZpWq/Fo4N+Xn4+1a9dG/U5zROGMgU7kWy8AN6FpW7gI4Athce9SAMfd7xAEAVlxp/L/m6Vrmn+G35qZaGIUgUS3dNYA6OoC/lILDJELdUGa6lbX6tdZCmlynN+mTR5b4b6FamVlFf7YvadDG95jIgoQBjqRb7cCiJc5fgjAiob/z4dbhIqiiDJbxclf/PCTZb7OLaXxHh+BLohApo9RbqkicGsd0E/m/noB+K3Z7n45cWjlFNbZV07t6L2Fqkt0sdmdSEGch07k23UyxxwA7gPwW8Pto5B6whMAKaUtjlN957v3HJI7rw2ADoDvPu/uTmBSM5VmowhcVwc8bGja/75MBwyxNz4Damrq8Ovv+SgsKkNSUiIGndEHaWnJUKlOfp83oM0j8oKjrKy8aOWKlQlmi9nY2D+vVqmdw0cMKx06dKhJ6fIRhSMGOpFvck3InwP4Rljcu3GUeB3cWrpEr8HjdfVWufOeCk+7TI7qReDeWiClhc7wzi4g0wUUeM1DP6oGjqhRllKOt97/Bi/89yOUl1dCBJCaYsTf774Od9x6BZKSDE3Lo7CfN/xc+ttvv6fv3bvHJLM4i3rPnj9M9XX1pWPGjumodFmJwg0Dncg3uaB7wS3MAcAM4FsAs0RRjLO57NhjOQCjJhFmRw3UahUqK81ISTG6n+NUm7hD5hmG21sOc0BaHe5cG/CpZ6+AaAc+e2Y17lj9JE6cqPLoaa+oNGPBKx/jqsunuAd6294clSC6v0f78vORtzmvZPiI4Rn+PP7nDT+X7ty1K9XpdKoBaaT8vvz8js2tslZZWYUvv/wyfeiwoZVxcXEp7XoBRFGGgU7UOr963a6G1OxeDyBOr9JhgLEXRqScidVluaiqtuCbpWsw9xqZmW9OyNbQP93/Hf476UMcOlyAunorRNF3uA9I7IWfhi2ETnXqO4IAAfYDLpT7mAdvNtfC6Wz/NPTx2cMq12/YllpQVAZACttt27d3GD7C99LlO7bvKMrN/aWTS3S1GN6+VFZWCY88/GjcU08/WREfH5/a7hcSGnGQ/kaIgoaD4ohaQVjc2+512wmgB4AkQRCgElQYaOyNngndAEhrun/46Xey53KUyIfq3957Dj//8isKispQUWlGZZXF58+Wol2wOGqanOOMpD7y5QcwbEh/JCUltvu9uP3my1O9B8Y11rbl/Prrr0UffPBBp02bNgl5m/PQnvXOKyoq4h59ZF5CXV1dRZtPEloTlC4ART8GOlH7pbnfcIouZOhPHcrbugtlZZUeD6irq8e2j/bLnqzYWub3E1tdNo9R9Y0y9U1bvQUAI4efgf978k50SE3y4+wta2h298svv2xKr6ysarG/PsuUjlmXTRb/dPPl5nUr39y979dvdnfp3KlJ7baiokL/yMOPpOTk5Pj/hinnEaULQNGPTe5E7WeGW1+yRqVGhb365J3V5hr8+38L8fhDt0KjkT5yeVt3o36NBvBqMLY6rXC1cmWY43XF6GPo4XFMr9ad/H8BQOesDLz1yqOYNGEk1GplNnNxOBxNrjdZpnRkjx588ouBIAg4f9Lo8rlzZqQDMELa5Q47Ny2qGDhylnDseLHe/fGVlVXC1199nV5SUmq99NJL9P6UI9h69+5duS8/P8WrBWKY0uWi6MdAJ2olcWa+ICzu7Z66jX3o8QBQYatCufWEx2P+9eJ7mHDucJw3fiQA4Kslq3Gn7uYm5y63Vba6PJVuXx7cpSQbMGrEmbj6ivMxcdwIZJrSFQtzOVmmdDz+8G3lt8y9JA2eAxDTvX83KcmQKoX6lapjx0s8JtpXVlZhQ06O3ul02q+44vJWT8IPtEmTzkvJlwYIuh/WtfV8RP5ioBO1kleYA9I8dDuAeFEUYRMdsIuei744nS7c8penxX2/LXapBEFdba5BkqbpKPOjdYXQqNVISkpElqkjunTOgMGQAEHw3VKd6WqSf0hMiMfhXUvbPZI9mLJHD0ZDmPtFCvXPKu76+/zEVatzdY2D8QAp1HM3btSe1q1bycizR/o1yj6YBMFzBgBRKDDQidovE0AiIDUZm/TpMGgSmvzSwcMFwt78w8f79eneLXv0YKiXNa0t9x7eBbWLN0CrbcVH86UEYJPnIa1WA22YhbnN5rlQzuGjhTCba2A0+j9ALynJkPre64/j3Q+XlD3y5P/SvUN967ZtHUeePVLpl0qkCA6KI2q/4wBOdpgKEJAV10n2F+c9/VoXAJh54TjExzXt8k1NT2pdmEeQ0pJSj9u7/jiIvG2723SuG669KP2xh24td19PHuCubxTbovPKQRQk4sz8kQCyAJwGqVbeAcB4SLPKrQD0giAgu8NwAK83efzPuTtUoiiiQ4dkIE4HWDzvF4LZSusEUC0AhSrggFpaYc4sSMebfdEAHIL0uzWCtHBtjVQX+BT/Ez6d6fUSFjc9xQlbJV6rS0chCk8eM1tqUVZe2eaXc+sNl6b9+NMmfPb1D8F7z4giCAOdqHU2wrNly+52+wSAjgAwPm0EMvUdUWj1rJWWlFXAbK4JbN+23KD4OgBzk6TV5LSiVEInAJvQsIN7aCuyS4p+xJG6Qo9j8fFxSOuQHNJyEEUzNrkTtY73Z0YLKTbVcJuPnqhLxJ97zGnyYLvdgX0HjwV2x3K5PVxEQapVWwXAogKqVVKt2i5AibFa68vzUGHzXEima+cMccTQASEvC1G0YqATBY7H/LHLMs/3WJK1kaWmTkpUud1GVU2zvq6uHjt+24sly9Zi5Q8bcfhIIRwOt0XgT4T/x9igSfB4L1QqAZdffF5lawbEEVHz2ORO1D5OSA3cdgBfA7ix8Y6ehm64NHMKvihYAUfDNLYu8SboNBppSpNczdrgGegOhwPLVuTghZc/xtbtf0CtVqFnjy64fvZ03HjtRVJfvDn8x4Fdlnk+Dtcex/elG+CAE5Mnjay99YZLA74O+2maLFywfjBMJ5JR1KEKGwbvQZWxrv0nJooADHQi307tW36KBdJGGyKACgDLAbwN4Aiklc1OBrpOpcP8gQ8gMy4D35esh0mfgbt7XI++754hYG+c1CTu7TQp+M3mGiz5bh0ee+Z1HDpSCKfz1Mi133ftx2tvf4n0tBRp0xc7ZDR+MRDk7xMaXplW9L8FXgMgQQSSRaCjC+jlwF3v/Ut89evPhMYvLCNGjhBvv/22k2dcvfqnimVLl6a6r5o24dzhrv+9+EBC56zA74D6VModMJ2Q+uVNJ5Jx0dphWDJuC0OdYgIDnci3EgBdvI5lCot7W+R+uWEEvIfO8Sa8eMZDngfNAFb56EbvJwVj3rbdePq5t7H/4DHZXzt8tBDrf94mBbrcTK0BTmCUHTimkprk7ZA+7R1cQC8n0NcBpIpSz3973qD3y062PsjZs2ePR5hnmdJx242Xlp3WLbPdi798sHBZac7G7R7fCvrrTvf4Ha1TzVCnmMFAJ/JtOYBbvI41N8nLAqlq3HKd1+njVzpKO7CVlVfij72HfD5cq9HAkJjg834YRGCiDUr64osvbfvy8z1aOLJHD8asy6YEZCW35as2pLkvLJOSIj9iXutUY+LmgVgybguc6sCORyQKJ+E/moZIOQsAOLyONfeZOQbgRwDlMo/zT8NX7LQOyejds2uTuwVBgFarxnnjR+CymROVfn8gujybBxoXdsndmFu68eefde3ZIrU5Bw8dL16Xs9Xj36JX794oT5JtPEGqORGZZZGydTpR27CGTuTbXgD7AfR1O2YAUOPj952QaulJaOdna8TQAXj0HzfjiX++gdKySnTvlomuXU3ofXpXDB86AAP69UC/Pt2Vfn+a2Jefj88//6Isd+PGjt5hnmVKx9TJY8ogs/lKa/339UUea7kDQJIxqXrN8F1JM9cOg0ZmW/ZBe7rhWKcT/j4FUcRhoBP5ICzu7RRn5n8C4HG3w2MBfOXjIbUA8iHNTfdgc9lRXF8Gm8uOnoZuLT630ZiIa6++ENdefaHSb0Pz75HKcxOSysoqrFi+oklgZ5nScc1VF9hvuPaidoc5ABQWlXm0r6ekJGPylMm1Vca6pMXjtuDiNcOhdnk2pqRXGZV+u4iCik3uRM37ClITeqO5zfyuAGnkO0TxVF+tzWW3zN16P7qtOheXb/4LxOb2O4+wLt7zzxvdZD11OdmjB+P/nrorYFubeq/Z3qt3b2RkdDQBQJWxDquH72ryGJUr/Kf3EbUHA52oeXsgLcreGLWjxJn5eh+/qwbQRRTFWrOjpqrGXicerysWH9w1X7+8ZB0AYJd5H5DQzLDwCBuIfcO1F6Vnjx4c8uf17rtv2K70pIKME81/cSKKQgx0omYIi3vbALx4pLag5J7fnkHH5SM79P/x/Gc/HPp8vPvviTPzBQCmUusJ86fHlxXP+OVWY8cVI4Qu32cLL+5/R1tplxaRs4l2iFfUW5Hqkn/CA63sBXMh7Gv1bn3nAfGPR1+y52zc7nFMrVZ7fEniaHaKRexDJ2penHHpoNMu7DS+8vvSnE4V9mp1ma3i9jt/fXLyzd2uPP7Wkc+2ADgqLO5tBDAdwAgACc2dUBhr0yHLBfxfYtPlX/9QA2e0YoB8nSA/nl4bPoGWPXowAtV3/uZ7X5d/9Ol3TaarDRo06ASAZqfDCRCQZIlHtUGRZhABgAlAkRJPTrGBNXQieRoA/QG8YXHWblxesq5vhf3kUu0JlQ7zmW8f+XwqgIcBvAbgeQDj0EKYA4CQIKgx0AnINdwfaOVKL3vU8ivFZbhad552mDp5TJk//ejtVVNTV/34M6+neY9u79W7N0aOHOHX3PaRO0/359cCojeAlQCqBQErpduFANYD6BeyQlBMYaATSRIAzASQC2nJVxuAnQCuBaAzO5rOVGtLH+2ZA3qeupEo8/hDamlXdX+IAFbr0GQdG0EE+ra0yXng3HDtRemP/uPmiisvmQTvYA9kc/ud9z3XZKpaSkoyBvTvLzsXzSU0fX+7FKUhyRKPYFOr1c6PAIwWpH+b0YKALYKAUiD7J2D3BYAYL/0Luv/kQWrl+aXh9m8AZkBaapioRQx0IskUAO8COBvStDOPfUbbOsBKo1Gjb+/TMH1qtvinmy9zrPjmZdvJ8/aRaSuvFoDDftbSawH8IdNrliwCvdq2rk1b3X7z5amLPvgXzs0e6tE0cG72UDEQze3vfrikbOUPGz2CLSUlGWePGmUfN35cB7nHFGRUNDmmgoDhu3oE/f24uG/fiv5C01H1ekHAMEHAp4KAYkFAFaRvkBcCiAOGAVgIoHEJ4TMALIE0VFKEtC4CA558YqATSbXzZwE0u5SYVtvykJPGbwGJCXG49qoLsHPTZ9iV9zm+/fzfwv8WPKjJyux4ainUiTY0HdEmANv8HNryqxaolzk+3K7YJf/peX8u6dbVZAGAbl1Nlqfn/bnYbK7Bx4uWo/+wy9Gx+yT89f75OF5Q0qrzrvxxY5Om9v79B9iuvPIKn1Phfjljv+wXsazS4K8Yd+GePX7tPCMIAgYIAl4DMEE61Nxk+d6QAt4MYBeAuwB0Aq/j1ICD4oiAyWihXzOzUxqmnDe6vqraErf91z2w2ezo1tWE2VdOxZwrp0nbmLbW6Q396N5N7Nu0wCw/2t3X+GhuP8fe8mODpGePLqbtP39yYvPWnbtHDB3YKTXFaPppXR6efu7tk2vTf/zZCiQlGfDkI7f7dc6Fn60oXb9hm0dApqQk45pr59Sh6W54J1Ub6nCs0wl0LU7zfItC8D4Yilv3hSVZEPA3UcRyqTbeUp9A4/iOBQBmAbgHwBY0v88AxQAGOpG0EpzHdT7LlI5zxg4R1Sq1Kz09xfLXP19d36N7504BfVYdgM7OplPVihp2R2tpGZZ9Mk3zmS6gq7LX9dQUY4cpE0edbAb33mimrLwSn36xEpMnnI3hQ/sjPt53c8KXi1cX//3hf3fyrp337dvPGRcX1+K3qF/O2I+kmngkWeIhQIBD7cTebsEfaF7TsSPSDh5s1WOGqVTiP599+tDSpct67Pz99zg/1sFXARgDqc/dXR6ksR9/BP2FUlhhoFOs6wvgLPcDWaZ0PPT3myruuPWKVEiLxSQ3/ATeGHvTQHcIwH71ya1UZTkgP3huoq2ZOqsyGjeayd9/9OSx/QeP45Gn/ofnnrobZ484Q/ZxP/z0S+Fd9z1nkhsIN3zEsFJI08CaVW2ow7Kx29HraCcYa+NgTqjHvq7FQX/Nuy6agW6bNrXqMWpRFDIyMvrfeOMNWLd2XfnOXbtONi3sy89HKza6GQ5gt8xxBn2Ua+duyEQR7xMAvdwPTJs8Bs89fXfwh0IDQCcXsEym6bxEJe1n7usTWqACfvCe9yYCf6qTnw6noPS0FHTK6IDl3/8Mh1P6kiKKIo4dL0GfXt0wZtQg2cc99uwbcRtyd3i8AykpyRg9ZoztvPPO8/sLlkPjQklaNY6ZTqAkrRoOTfCn9NmMBgxc8m2rH7dr5kUAgNO6n5YwYsRwNP6kpnYo0Wq1cZlZmUJtTY1QX+/vVAgPWQDGA3gPbd0NkMIaa+gUyxIgXeA8qNQq//Y0bzsXpP5OAUZRgyRRGt3ubo8a2KAFsu1Nm95FSP3s3gRI+6CHGaMxEReen404vQ711lN7tDtdLuw7cNTn4+x2e5PrU//+A2yXX35ZmLVBBN/IkSMyRo4cAQDYtGlzyaJPP+1YWVnVlr/RMwDcBOAdSPMkKIow0CmWTYZXXGaZ0jH7ymnF8KM5tx1UcB+ZPM4GfKuHx3cIUQAWxkvDo0Z41dSrBGCVTKbFobmvIcH+ktKsJd+tQ21d0yH58XG+mxMa1mf3KHNqamoVAL9GkEerkSNHZAwePKj6yy++dFVWVaU0Hm9Fs/w/ARwH8LXSr4UCi4FOsexB7wPnjB0izph2TjDDvKlJNmC9Dqj0yts6AfggTlr17fSG/vRaAJ/HASdksrlTs03JLijYxbb+520nm9sb6XRanHVGb5+PmTZ5bPm6nK0d3fvQy8vLO4Cg0+mSrp59tcexnzf8XPrrb7+le+9EJxP0BkgDQRnoUYaBTrFsqPuNLFM6zj9vdDmA4K9j6q6DCFxiBd6Lk2rm7qpVwLxEKYp1kGLZCjStbIvAKFtzz6LoeBlDYgJ0Oi3q66UyCoKAKRPPxrjsoT4fc93sCzsuW7Een339w8lje/b8ofpu2XfHDx850rml5xwyeHDpqNGjYqY2P2bsmI5jxo5pcvytN9+2bdy40btJ5wz/zkqRhIFOsczj7z+Qm4i0igBgtA3YqQE2adA0rAWpx725PUU6uYCxys0/b8llMyfiwKFj+HHtZsTpdZg8cRTu+tNV6Na1dY0hlZVVwpdfftVimAPAvvz8jseOH4/JPnd31153Tf3u3bt0XrV0LkYThRjoFKv6Kl0ADwkAZtcBNQlSsLdGvAhcUw+khN+AuEYjhg3Ak4/cjlvmXgKdTov+fXugc1ZHaDTNv1ZBJbS577+ysgobf/5Z16Vz55iqqXvT6/VJvXr3Rt7mPO+7+gLYo3T5KHAY6BSrnodXULQnPAKigwjcWgs8nwgcU/lXFK0IzKoHBjqULHmL4uPjMGRQPwwZ1LqNxrRajRPtuE5VVlZh2/btHUeNHqX0WxCOcgBkg6EeNRjoFIviAEz1PqjVah1oeX224FEBSBOBu2qBj+OA3zVui3nK9JmniMCV9dJ89ShtVJ46aUzF6jWbPQbGZZnSxezRg31+fcnZuB3ei9HEOo1G40TTcRTpgPsy8hTpGOgUi2Snq82dM70MQKbShUOWC/h7wxThekhbqu7VAIUqaTmQJBHo7gT6OaRafRQvDzVn1rSOS5at9RgYlz16sLDog3/5fMys6x7w+H0lGAuDv7xsawwfNqzsj927O8lMaxsP4FcA8wB8D85Nj2gMdIpF870PnJs9VDxv/Ejlw9xbHKQlYPtx341I0nf58lY/xqUJ3uV4yNAhnY4cPVq3bu3aeJlQPxPAVwA2ArgRbIKPWBzpSLFGBWkbypOyTOm4ePr4UqULRv7J2bgdNTV11f7+/r78fFitVr9/PxAMpa1v8i8eOCCoZZo586L4Pn36+ho5KQAYDeBtSEM0KQIx0CnWnAavDuns0YMx67IpGUoXjOQ1DFY8qaCoDH+57zm/V6yvrKzCxx8vDOkog5q0tFb9vigI+PWKK4JerpEjR5SkpPhcBl+AtHvbrWh5C1cKQ1Hc+0Yk60EAY90PDOx/Oq64ZJLS5YpJm7fuLEkyGsr1Oq1cytgAqMtPVFds3b473mw51b1bUnJCYzQmlA8b0r9JbbKouKxyx29749x/31xdrUlMTCzr1q1bSGqf5sxM9Fr9k9+/f6JHD+y5cFrQy5WZmWno2LFjkQAhMTMrU6itrYHXRi8CpAGjt0NaYvcIgCpISxpRmGMNnWLNHO8DaWkpZqULFYtWr91ceMsdT6cnxMf52hBdBwC33Xhph8kTPZfBKygqw+q1m2WXgb3z9qtSJo4f6bHKTmVlFXb+vqt11eZ2MGe2bsGc3dMvDFXRMHToUNNtt98q/OlPt2P0mDE2HzX2NAD3AlgF4GqwGT4iMNAp1nhcabNM6fjHPdfXKFUYUQzfxWCC7c33vjZ1SE1WqdWqFrs7Xn7h/rosk+cifqJL9Dl17bV/P9jk912iK2xn6pcM6K/I815++WW6gWecUe/jbgFAVwCvArgNDPWwx0CnWOPxN3/O2CHiad1aWZ0KIEEI24wJqv9b8L55Xc5W4bdd++B0ukpa+n2DISE5e/Rgv8+fmBifdG72UI9m4n35+fh5w89hN/hRBODUKbeQwNVXX1U3evRoWzN964kAXgRgBrABwNngDKmwxEAnCiBRFJv8kKfVazcXvvS/T4wFRWUoK6/Epi07dwTjeSaOG1HhXkuvrKzCzl27UpV+/d5sBoOizx8fH5968y036S6cPr1i5MiRYjPBroI0aO5jAD0VLTTJYqATBZDFUgtLTS2sVhtqauvgcDg8Qp0BD7z70ZKOJ06UYcZEDX5bZsDo7s/0E0VRbp7XyRr26+98dSJn4/ZWPc8tcy9J867VO53OkA0E3hfv30DxXQP6W0JVpuZMnDgh9bbbbxXuuvuuwpSUFEczv3o6gIfAJviww2YTimnN9cP66+Ch48X//t8n+pLSE8kFhaXYvGWXUFdvRWqKEVMnjUb22KFIS00Sd/1xEIePFgr/ee4+JCcpWytTUnqyWf3d24kYf7Za6nJwlXYVyq7difR3zBB0PQCUQgqLxNraupq7739B+93KnA5tWc7Ve31+773Cg+mb6ReWX/DlV2kDXM0PEL9r1+7EIevXl59zzjkhG7TXnNNOOy3z6Weeqli48JPEXTt36mQWohEAXAdpgOlvAJ4AV5kLC7HZgUexzAW3v/ssUzqyRw+GSq1yTZ96TvmcWdNatSvXv158z/LfVz81+Bs2KkHAiGEDsfKbl5GcHIOh7jiKE/tvQYdkma1eVSlAxpcnb1ZXWyoGjpwVf+x4sewo+Ksun+L65N1nm21lvGrug+KiL1ed/PdOSUnGDTfeUHjGGWeEZFXAnJycMsuiz9L/U1MLg4/xEimiiKSUZAwYONA2Z87suri4uORWPk3QrFu7rnz37j867N27R5AJ9kbVkAJ+sdLljXUMdIo1dvhomWoMd++FTLRajVOn1Tpq6+r1LqfnSOm2bASiEgSMHT0Y77w6D927Zba4hWhUqXgEsG6Uv0/dDej4LoCTYZ5w7Hix7AIyWaZ0vPivv5W0tCDQ1Tc85Pr0i+89Qn/06FH2m2+5OWSb8Lz1yv9g3LIVTwAYKBPqSW7dMGPGjrHddNONYbfVzorlK6pXrVqV1Eyo/wFgGFhLV1QMXUmIAABrAMiuIlNQVNa4qYf3VVeDAH5WXKKI9T9vw133PY9XXnwAPbpnKf2ehIbjKGD9Rfaumlrglc902PrHgyIArN+wLVXui1KWKR3njB0iXjx9fKk/q/tde9UFJetytprcz+VwOkN63bOrVPgewHoAa0UR/dxCfavXmIpdO3fqln67tGb6jOmJoSxjS6ZOm5pUW1dn3ZCTo/cR6n0gbXrEWrqCuFIcxZpNAK6ENBVHUScqql3jsocKvXp2VboooVH1POA82uRw2QkX5vytFu8uOo4dvx8Qdu4+ILiv8taoS+dO1t1bvrDMmTUt/owBvfz69+vdq5thU97v2PnHgZPHOnfujOHDh4esdTIvLw8FBQVwQPo22QVAFlC4AcCdgO6E2xfI+noriooKdd279yhMT08zhqqM/ujfv78mMTGxTKfVxdfUWASZFeZ6AHhL6XLGMtbQKdbsAXAugJca/qtHELuetFoN7Hb5AcM2m01ltdpaecYIZs1rcsjlEjF2Vg32Hmo6cKyLScCf5+jQv6cax0vjnNfd+HK90ZiY0tqn9R4Yp6R8SMuuAciCtF76bZDmeJ8sX2VlFdavW5fet28fpYvbRHZ2dnp2djZWr/6pYtnSpaletfVhDa+pTulyxipOW6NYtAfA+ZAuPgYAlwLIg7TbuOj20xIzgNUAXgPwU8Ptk/Q6rWi3O9DYwqpWq5DWIRk6rQaGxHicN34kunVVbE0bBTQdCLc6VyUb5gDw5N1x+OsNcbh4shZ/nq1SGYXPAzJYLJQj3fPytpTsy8/3dXcdgNcBrPO+I9TdAq01ceKE1F69e3sf1kBqdieFhPUfDVEI1AL4uuHHWx8ACyD1ubsgTdF5CsAPaFoL6QvgUbitFW+12QUAEEVAq9HgtpsuRY/TsvD7rv0wGhJx2cyJ6Nenu9KvX1Ejxv+36tYbvtJUm2sSvOfoX3PxZkGrkY4JsAuoWw0k39/q5/BejW9ffj6WLF5Se9HMi4I+j3r7tm2pMn3OB9z+vw7S7mZ/wK2Wnr93r/Dtt0trZ8yYHrZzvTUajRNNu23/DWn9d9bSFRAWzVBEUSQbwJsA+nnfkZgQh3Ur38Lgs/pApYrBxrGi85oe67QMEGRmpYn1QLHMhiWmH1v9tO99/G3Zw4+/ku4+MC4lJRk333xzYf8B/YM6fe21114XN2/a7H2dnQlgidcxKxo2o3EvY/Y559RfcsnFcQhDm37ZVLJo0aIMry8sIoAZAJYpXb5YFINXFaKgygFwi9wdNbX1mHHFX3HkaJHSZQwfMv3qEK1AbeDyYO6cGennZg/1qP5XVlYhZ8OGFkfJB4EIaREWb02OVVZWIWf9+rhlS5eFxUpy3kaePTJDptldADAPHHCtCAY6UeDl+LqjoKgMr771hdLlU4jMNd78plQbd2fdAljekXl823sIL794Uon37msOh0Op0JHb3exeAMe9D1ZWVmH16tWGFctXVCtU1mb17NmzSmbt9yEAOitdtljEQCcKvDgAnQBMB7DL+86XXv0Ue/YeUrqMoaft3fSY8xhQ9iegPkcKdtEKWN5tGvIAoOnR5qe+bObETt619H35+Vi7dm250m9Lg70AJkJmgFxlZRVWrVqVFI419SlTJif37tPHewCpBsBUpcsWixjoRIElQKqBlQD4DsA1ADw6GeutNtx9/3ylyxl6ibPljzuPAFX/lJrZrbmA44DML+kAw3XtevoZ084t8959bffuPzoo/ba42QspCH/zvqOxpr4lb0ux0oX0ptfprV6HBJycnUehxEAnCizR6/93QGb1rLU5W5UuZ+jphwFqH6viifWA+X9A5ZPy9xtvAvRD2/X0s6+c2tF797X8vXuFr7/6ur5tZwyKOkjroh/xvqOysgoLFy7stHr1TxVKF9Jd125d5b5kDFG6XLGIAxeIgksEsBtAbwBaSPPeVQ6nE107Z2BAvx6xs5a7oAHUHRuWf3X4/zjN6UDyPfKj4Vvpy8U/ijt3H/BYma2kpERz6OBhEaJYmtU5K6ArCOblbUHB8QLvUe5PtPCwEkjTKLtDmg7pUd6jR47EHzx4SHQ4nGVdunRRfMXDLl26aDbk5Oi8Vo7TAXiyjaekNuK0NaLgEwCYANwAac7xaY13TDhnOF77z4Po0/u0tp47soj10sh285tS/7k/Up4C4sYE5Ok//WJlyb0PLsiQWyc+JSUZMqO222Vffj5k5qFnA/DnW00ygJUAzpZ9W1KSxeuuv7540KCzFF+d6NVXX0PeZo8ZCyKk5ZU5Hz2EGOhEodMZ0lrXHgOG0tNS8NbLj2DyxFFISAjLKceBJ9YDtUsB89sAmln+VtMDSHsFEPR+n7olb3+wuHzeU6+mtWV/9Xb6A9KUxhxIrTV2Px4zFsBnkJaKbWLkyJHibbffqvh1vBXz7SmI2OROFDoWSAPkzgWQ1Hiwtq4eK3/ciDMG9EK/vt2VLmNoCBpA21P6se8DRHPT39H2A1IeAdSBHbc2dFC/hJ6ndylev2FrotlSG6ow/A7AOQAON9x2+fm4YkjLEg8BkAGvSlhNjUUwmTKLTKZOhhC9Dlnbtm13Hjt2zHtM1lAALytZrlij+Dc7ohiTAuBOyPQvqtUqjBp5pmjKSINGI/9du77ehv0Hj6GgsFRISTbilrmXYPaVU9Glc0Zsrj7XDqvXbi5896MlHW1Wu6Yt+9q3khHSF7q2SoC0/8CX8Lpujxg5Qrz99tsUvZb7WDXOBVYaQ4qBThR6AwG8DanWpWvnuZAQH4cRQwfgogvPxYRzR6B/3+6IiwtcE3UseP2dr078tG5zquhq28YtMl8IHAAKIA2I3A/gjgAVdR2kmv5JKSnJGHjGGfVz5sy26fX6pDaet91k+tEBZkxI8c0mUoYJwDsApgXypFqtBqNGnIEH770B47KHxU6fvMJmXfcAPvv6B/dDRyA1OccBKIT/Tewt6QvpS0KTa/eYsWNsN910Y7u/ILaVj0DvB2l3QwoBttERKaMIwF8gs9xne9jtDqz/eTuuuPYf+Os/5uPY8WJ472JGIbEbQDmkf99AhTkghaPs0sK7du7Uff75F/4MtAul95QuQCxhoBMp5yCAmyEtPPM5PPdU97kvu1rd8se2prYeb7+/GNfc/Ch2/3EQTqdT6dcaa6ztP4VPtwDYCq+/jcrKKuRu3Khdt3ZduCxnCwAjwZwJGb7RRMoRAawAcBmAKyHtpX4rgK6QPpuNPx7OHTMUl8wYD622+QVpXKKItTlbMeemR7B7z0GlX2us6drw32B0a+6B1I9+t/cdlZVV2LlrV5oSL3jI4MGlMhu1qAC0fRF+ahUGOpHyGqvPhQA+BdDsiisd01Pw6Xv/RM73b+HCqdk+R8Q32v7bXsy6/kH8secQXK5Atv4SAHyzdE1xzsbt3of7Nvw3WP0dtZDWNNjtfce+/Hz8/vvvhaF+H0aNHtXRx8I8t4a6LLGKgU4UgXQ6LUYOPwPffDIfB39fgi8/eg5zrpyKOL38mKhdfxzELXc+zb3YA2z12s2Fd9zzL7mV50IxGrEOwKXeBysrq3Dw4CFFBk4YDUaZBQVwJ059waEgYqATRTCNRoMunTvh0pkT8fb/5uGDN59ERnqq7O9u/OVXvPfxt0oXOaq8+9GSjgVFZXLN6jtDVIQ/4NUKkJKSjCFDBisyg2nqtKk1Ms3u8ZDGhzDUg4yBThQl9HodLp4+Hos++Cd69+za5H6ny4XPvlqldDGjit3ukOvvqATwWIiKoPU+0LtPH7FLly6ZSrwf6elppj59+sq1DmRCWnshQYlyxQoGOlEU0Wo1OHfsUCxZtABdsjKa3F9QGPL1y2PRXEibqoSCx25s4WDUqLOLZWrpADAawBSlyxfNGOhEUUalUqFf3+649KKJTe7j9LWgEyFNQ6wN0fPd6H1AgKDowgODBg8yTZw40eJjxPuDSpYt2jHQiaKUqVNak6qbTqdt07kobF3ufSApOala6UJdOP1CQ/Y559TLhPpQpcsWzRjoRFGqb+/TPNZ0FwD0Or1r209I4chjW9WUlGScd9559UoXCgAuueTiOJlpbBoAfZQuW7RioBNFqSGD+uKqy6cgyZgIjVqNfn2748+3XKF0saJKWzdzCSCPa3iv3r2RkdHRpHCZWvJvpQsQrTTtPwURhaMunTvhwXtvwNhRg2C21KJPr27IHj1Y6WJFjVfe+LwiZ+N27zmCiq6lLgiCiDAaJKfVaOxoOhJ/ktLlilYMdKIopdVq0LtXN/Tu1U3pokSldTlbUmUWlNmqdLnCyZixY8p2796d6bVPOnMnSNjkTkQUOE8pXYBwMmDAgEwfy8FSEDDQiYgCZ7XSBQg3Dd0AFAIMdCKiNtDptQ6vQzYAYTHCnGITA52IqA0cDqf3sq/sGyZFMdCJiNpAFJu0JIfN6HKKTQx0IiKiKMBAJyIiigIMdKIIk7NxO7745scSpctBROGFgU4U/g643ygoKsPiZWtT23oyIopOHJVJFP7ugbQl50l2u52fXYWFwTruTeTv3Su89trrJ0fradRqx1mDBlWMHDkiQ+myUfDxokAU/r6HtM/2yQAJxzAhANLCMsMAGNC6Ue9OADsAPANgJdq4n3plZRU2b9rs/rza3bt3Z/y641fbrKtmVRuNhnSl3yAKHja5E4W/egAei5jkbNyOdz9cUtbG81E7vfDfj6pzNm73PiwAmAAgCdK1VWjFjwbSF4H3AdwKIN7Polhb+oXKyips3LhR9/hjj3fIz99XqPR7R8HDQCeKDNvcbxQUlWHFqp9Z21LAgpc/rnrxpY+SZDZmCQQjgOcBvAqgH1puRf0RUutNiyorK1Wvvfqqae2atSdC+X5R6KjbfwoiCoFSAFe5H6iorMbvu/dbJ5473KzX6/yt0VEb/PDTL4WPPfN6wqIvvld9+sX3cUEK80YqAIMB/BnADEj/9kcgvzXrFgA9AZyGphW0Jk3+9fVW4fDhw/E1lhpr/wH9Q9Llmpe3BQXHC7zL8kQonjvWsB+OKDIkAKhE072lccM1M+rfefWxOKULGK0ef/aNujff/Sq+NSGuzchC0ohzWq45u0SheksO7CUFzf2WGcBjAF6H/33r8QBmA/gPgETvO1NSktG7Tx9x9KhRxYMGDzIF8/177bXXRa9+fRFsHQ4KBjpR5FgNYDy8PrdZpnTMvWaG9ZnH7tArXcBo89pbX1Q89X9vpfoT5tqMLKSMnuhIPHP4cdNVt3VU6eMS/HkOZ4258sBjf06s3Lha20yw10HqW/8UXuMpmisSgHEAXgbQV+4XUlKSxWuvu7Zk8ODBnYL2HjLQQ4aBThQ5+gJYCGAIZEI9e/RgAIDBkFB/8YwJlTOmnRPUmle0M5trKgeMuMJw7HhJs03T2owsMXXctPoutz9YFdetZ5vf86OvPF1btPDVhGZCvQjSF7o9rTitGlKT/L8AXASZbtaUlGTx6WeeroyPjw/K2gYM9NBhoBNFlgQAtwOYj2Y+v40BL6gEURAETJs8tuy62Rd2VLrwkaQh0BOPHS/R+vodnalL/dAf8l3+1sZbUn/sUPHxN59LOPHDYoO9pEm/swjgRQD3teHURgB/A/AAgCbdM6mpqbann3mqNi4uLiXQ76OPQDegjVPzyDcOiiOKLHZI85XHAejm65fMllrs/OMAdu4+IPy+a7+wKe/3xM1bd4pr1m81D+jXozIlxWhQ+oWEO71eF2dIjD+8dPn6xmloTXS+5e/FyaMnpgXqOTVJKYYOEy7Ud5p1S2XpNx/qnDVm9+cVIA2W+wJAeStPbQOwCcBmANMBeHTP1NfXq6urqjFkyOCAD5STGRQnNJSjNS0N5AcGOlHksQP4GdLFvSv8aGkzW2qxc/cBYfOWnfrPv1pl2JT3O775do1TrVaV9uvTneHuQ7W5puj9hUuT4WP6mC6zW1za5IsDfh1V6fTxSWePLz6xeqnRVWN2v0sL4CwAn0F+1HtzHADyAeyG1Pzu0fJQXV2lqa+31vXr11fbyvM2a9u27c5jx455fyE6E8D/Av2+xToGOlFkKoc0QGoLpD71DvCzC62x9v7brn2q9Ru2Gjqmp5YOOrNPoj+PjSX/fe3Tyr898GJXs6XWZ601oe+ZSJtyaVD6g3UZmcaa3/NctXt/9/537Qbp3/2PNp76CIBqSIvgnMyA+noriouLtF27di3s2LGjMVCvw263lx/Yvz+xvt5jDZw0AE8G432LZRyYQBS56gB8g1MLkGQAuAHAGkhTnVwtnaCgqAzffZ/DBWrcfP71DyVX3/CQ+K8X3ktpbnS7NiNL7Dhjdmkwy9Jx5rUl2ows78MqAP+ENJ6iLeoAvAapP91jal1lZRU2bPg5oOu+jxp1dsdevXt7H1bDx8h7ajvW0ImiRy2A7ZCWD/0npIFzWyBdODPgowZfUVEtbN66U0xJNhad3qNLwGpmkeiNd78qf3Defztu3PSbYLY0HbOlzchC6rnTYBg4xN7lL4+WpJ47NTOY5Ynv3tvgqjHX1R3K13o1vacByEPba+kOAL9CqqV3db8jMytTGD58eEAHTOfl5aGgoMno/bMAvBe8dy/2cJQ7UfTTAOgN4GYAcwDIzjnOMqWL77/xRNGkCWcHNaTC1cFDx4uzJ9+UUVBU1uS6qM3IQsqY82w9Hnu5RmNICvnWtXv+epVYvmyRd7n+gLT+e3tGi/eF15eCESNHiLfffltAs0FmpDsgbUhjhNRiQAHAGjpR9HMBKIO0a9t8SDWzK+H1hd5sqRXsdkfi5RefF5Nf9O/++3zdhtwdHv3l2owspI6/QEy/4Mrq7vc/l6jS6RVZYtdeVlxZs3t7vEwtvRjAb/B/sRlv5ZBWoTv5b15bUyMcPHhI3L5tu8Nmt5/o0qVL+8dXiCjdty/fux9dBWAsgI1o/ah9ksFAJ4o9RyA1tXaBV6ifOFEl2B0OS/bowTqlCxkqq1b/UvjIk/8zrFmXp3FvZtdmZCHrhr9W93hoQZxxyGhFl9Y1njUy3vLbZrEuf6f39K+JkMKwPaHuEej19VYUHC8Qjh07pj6wf3/isWPHbQMG9DdrNJo2vwdZnbMSDxw4KNfs3h3AJQCWgaHebgx0othjB7ABUjN8L/c7zJZa7P7jgC5W+tQff/aNunlPvZoq12feYeIMZ48HXwibTW981NI1AKaifTXdB+BjWl59vRVHjx5VV1VWCUOGDmnXHPXampoThw8fjveqpQPSdrOnQZq1Qe3AQCeKTeUAPgYwGjKhvnP3AeHHnzYZzZbauvHnDAvovORw8chTr9a//f43spuuaDOy0OW2B0rjT+8bNnP0jWeNjK/L31lfs3u7d7AKAHqg7TXdbEjLw/rsajGbqzV2m72mT98+bW656d69e3xNTa21tKREIxPqvQGsgtSF0OLsDJLHQCeKbZsBXA5pKU4PZkst8vcd1kZjqD87/x3LG+98leArzDPn/Lmm06ybQz74rSXJoyfWlH7zodppqZa7didB2mL3DwBH4X8TfB6APpCavxtD3SPc6+utKCoq1Jk6mYpMJlObv+T0799fY7PZa4uKCrVeoS5A+nK5GtJ2sdQGDHSi2FYOYCliINRXr91cOO+Z1+I/+2qV8MXXP+q9w7xxAFzXOx4t7nTFTR2ULq8clU4f12nWLRZb0TGV/USZ2qv5HZC2Sr0I0sIxO+BfqJcD+AjAU5D2KX++4dgUePWt79mzx5CYmFjWrVu3Nq9d37dvH+2hg4fF48ePe7cIpAOwQhq8SW3AQCeixlDvBeB0NB39jvx9h7WDzuxdGKl96t8sXVN88x1PddqQ+6t65+4DTfrLtRlZ6PHQiyXd7nrcEN+9d9g0s8tR6fRxaVMuUbvq62rrDuzRyoS6DtKgxypIMxpau0Rs434B50Lq2z6pvt6KQwcPJqSmdijp3Llzm0e/JyYmFO3atctQX2/1HuTXDdIGNNQGDHQiAk71qS8CMBRei42YLbWw2eyGyy+eFHFT2j5YuKz0bw+8KDu/HJDCvNtfnyzPuPjaiNqNLnnkuVo4Hebafbv0MqGuATAGUqC3ZfEZB6T9AmbDa0W6+nor9u/bl3jo4GGxxmKp6N69e6sHDnbs2NGo1+krjxxpMkjOAC4J22YMdCJy17hG/ER4hXpFRbUQabX0l1//rOLxZ19P87WEqzYjS+x8y/1VmXP+FJZN7C1JGpatj+t6elF13vpEV43Z+wuLHlKry5ttPH05gF0AZqDJ7mxWHD9+XDh8+HB8w7Q2S2untXXv0T3ex1S2JxR7QyNcxH3bJqKQ6AvpYu6x38OsyyaLn773z4i4brz8+mcV/5z/TqpcX3nSiHNEXXqnqszr/2qN69qjUxufImw4LNUV26cNNNiKjnmPcxAB9EfbtyqNB3A+gK/QTF6kpCSjX//+zoEDBpwYM3aM3y0dr776GvI253mXl3uMtFFEfDCJSBHLIc1xPinLlI6X5t9ffNnMiWEbgu99/G3ZilU/p63fsE2QC/NOl99Q3+2epxVdKCYYHJbqim3n90+1lzSp8S4HcEE7T/8LgJEt/VJKSjJ69+kj9unTp3LixAktzhKQWRKWgd4ODHQi8kW2lp5lShf/2PplldGYmKJ0Ab098tSr9e9+sDjO53S06+60dLntgbAe9NYe+fdd6yhd/JH3PHU7pIFy7dEPwAcAhsOP3EhJSca548bVzZx5UbP96wz0wOIbR0S+7IHMFKKCojLhrvvnh80KagDw9geLy6++4SGxuTDPuv4uczSHOQB0vPi6UpntVtu1wluDPyDV0FWQpsbdA6DG1y9XVlZh3dq18Zs2bS7x9Tvffru0Nn/vXlYqA4hvJhE1py+AXAAp7gezTOn493P3lVxxyaSA7p3dktff+erET+s2p4ou0ePalbNxO3wFedKIc0Tj4NFVWXPvTvH3eSLZnrtmoXz5Z+6HglHrTYDUHfMopG1QZc8/avQo5y233Owx+Hr79u3Fubm/ZOTv3StUVlZ5P8QKIOq6Q0KFgU5ELZkJ4BNIA6ROumbWNOeHbz0Vkpky7364pGzljxtl+8V90WZkwXTVbbVd75zX5kVQIpHMVqvBbsZuHDj3PLyWEW7sU3c/5iPIG60FMD7U71m0CERTDBFFt+8BPALgBfeDdocj6F12r7zxecX6n7emrN+wLb01QZ484lyxw6SZpenTrwppC0IYS0D79k1vTh2AbyD9nVjgVlGsrKyCzD7ovuwD8HcF36OIx0AnopbUAXgV0l7qJy/O3s3e7XXocEHxf/73ib6opDxJFEVBdIlCzsbtqa0J8qRh2UgZO6m806xb0gAwzCUCgMkAFgf5eWoB2OA1Z90PdkiLGj0D4GDI350owkAnIn/UwWu0dM7G7Xj9na9O3Hbjpe1alGXlDxsLP1i4LGPN+rxO/oR3Y3C7E1Qq0Tg8uzLzmjtSAaQp/WYpSaXROtH02v4MpEGOb0LaXS0HwC1o2ypyzVkF4EL4351bDuB6AD8CqFfoLYsa7EMnIn9tBDDK/UCWKV2876/XHc395dduV142pdn56Z9//UPJku/WdrDbHR797v72izcOcEsZO/lEpytuiunQbk7pko9LD/3f/R295qO7IK3PPsTt2DZI09ACuV1pX0hrsU8C0NxmPjYAPwC4F21f9Ia8MNCJyF8XQtrERVaWKR3PPX136ZxZ0zxWCjOba6ruvO/5+FWrc3X+Np+7a6yRJw3Prsy87s4Upd+ESCAz0t2XHgAOKV1eCgw2uRORv1Y3d2dBURmWLFvbcc6saQCARV9+X7Jk2bq0NevzklsT5O5N6iqdzpE8dnJFxiXXdYTX1DlqhkoQ4V+F7W8NP/7unU5hjIFORP6qg9Q863N0e87G7bj2lkcdNqtdk7Nxe0Zrgzxl7GRb1788eiKuW09Tw2ENgIjaBS0c6DI6VwDwZ2zD9QBeB7BT6TJT+7HJnYhaIw/AsPacoLEv3P2YSqN1ZFx2Q1ny6ImZSr/ASOesMVdtmzog3lZ0zN/lXj8EcBukL2wUwVhDJyJ/xQNYCWm/9FZXBrQZWUgZc57t9MdfqVMnGpO97wbAMA+AA0/cKR/mSZk29JngwJ7VCTAXud9zFaQBagvBpveIxho6EfkjHsCNkBaX8XuecWN/uKDTOVPHTTvRccZsNp8HSdXG1YXFi940VW1eJ3iMcDeaoB81RxRnPO2yqeLU+sX3wrrqRe+HV0JaynUzAjvqnUKIgU5ELUkA8GdIc5n9asZtbFZPPWdqecZlc9OVfgHR7uh/n6wt+vT1hCZbpxpN0E2+R7RNvP/ktT7OXuVSvTxJVbs/z/s0GwFcCqCopeej8MRAJ6KWXAjgC/ixaUbjsqvp02eVdJh0cdjumR4tHJbqikNP/zW+Yv3KOH/C/ORdJTtE84KpglfTuwvSl7anIc0TpwjDQCei5iQA2ABgsPcd2owspE25pNpeXpoEAKq4eFuX2x8sjz+9L/vCQ6Bo4WsVR195KsVeUtD0Ot5MmDfSrXlBtK2c7x3qlQAugFRbpwjDQCciXxIgjX6eD6+patqMLGRec4ely58eiur9xcORZde2wsJ3XuxYuXG1Rq5Wrh81G7qzZ4tm07AWr+8++tN/ATANQIXSr5Vah4FORN7UAE6HtNf11ZCZDZM+Y7azz4sfh2Tr1GhUsea7ohM/LE5KOntcjb8DBcu//7qofPlnGVWb1qmaBDngV63cm6F8t8syf6JKpun9rwD+q/T7RK3DQCcidwkALoE0ml22D1xn6mIfvHynRWNISlW6sJGo+PO3y4/8e16avaTg1Kp4KkEUBEHUppuqM6+7yxrXtUcnACj58t2yyg0/pIoOh7p6Sw5kgxxAQs/hUM1522XJOKvVW9r6aHo/BGlZWIogDHQicjcJwGcAZMNaZ+piG7x8Zw3DvG2KF71ZfuSlx9N8BTPgufRtcyEOSEEeP/0xWHqMd1k1hjbvTy/T9O6CNAjSrvR7Rv5joBORu0UArvQ+2Lgsa495LzHM26Do0zfKq3JXd6jevF5oLqD91tBXrpr2qKtOl9LmIG+Ulv8tyv9zkffh0ZD608XWn5GUwJXiiKgfgI/gY0lXbUYWsm74a3Xnm/+eBD/noZPEYamuOPjkXYmVG1alBTLIdaOvE80ZgwQ0s65+68jW7eYDuBhA67fII0Uw0IlINsy1GVlIGT3RnnnDPWWGgUM5Fa2VnLU11dunDUzwtaZ6Y3N5I8uun2DNXQivvuyG35sHALAZMmHOHA5rgFtX6zMHO2A0abyeewykndieBlCr9PtJLWOTO1FsUwFweh/UZmSh70ufFSYNG8sgb6P8++faSr9+v0mYNwa5+fTzXDZ1vEcNO7H6kDOuZKcaYkMrt0YnVp82HnaVLujXat3q50TbqgXeg+OsAGYBWKzke0n+YaATxbbuAA66H9BmZKHHQy+WpF84K0PpwkWqQ/+811G69FON7Jrq058SvYM8XPiYl74fwJngbmxhLyz/qIgoJDSQmlQ9JA3LBsO8bZw1lqr8++fa5MJcN/V+p3XmfCFcwxwAtOfe7oTR5H24J6SNeeKVLh81L2z/sIgo6PoAuN77oCa1g0XpgkUih6W6YtvU/vrSr9/XeQ+A04+aDdu4e8J+IR5Lam+1ftRsubvmA7gF0joFFKYY6ESx6yYARvcD2owsdLntwRqlCxZpHJbqiu3TBibaio412cAmoedwiNOfjpwtSS983JXQc7j30TgA/waQC2nkO4M9DDHQiWLXFfAaR5M6blqdPqsbd0nzU9myRSV777vWue38/qlNRrMbTdBP/hscd61zhXMzuzerxqhSXfueS6bpXYDUl/4hpDX+GephhoPiiGKXHW5TV7UZWRj4wY+FCT37cWR7M4o+ff1EVe5PqXCJgs+V3KQ+c4dt3D0ROzVYt3aB07biObX3NLoGVgAPAngdnNIWNhjoRLHLBbdrQNqFs8S+//6U1wQfnLU11QcevyOucsMqXbOLxDQMgIuEPvOWGEp+dbk+vklVuz9P7m4RwG+Qgn01gHqlyxvrIvbbIxFRqDhrzJXbpg6I97VIDICTq7hpx97osqQPjPgwBwBLxlkq3V3rXPqljwrW3I+956gLAM4C8AWA+wG8BYa6ohjoRETNKF/5ZfGBJ+/KsJcUyLZeNK7kZjNmiWbTMMEaZWOTbOp4FWbOhy6ls68m+HhIu/MlA3gFQBW4/rsiGOhERD4ULXyt4ugrT3Vq0sTeUBs3DJgAS48JrnJNogpR3oVpG3eP2jBwisv14Vy5JngdgCcgLSF8L6TtVxnqIRZV3ySJiAKl4N0FVUdfeSpVLsx1U+93WGe+gPLe02GVwjwmWNIHqux3r3fpJ98ryoyCV0Oa0rYKwEQAeqXLG2ti5g+RiMhfh1982Hr8rfnJ3mGe0HM4DPesdEXy6PX2sqviVNaZ8wXd1PudPqa29QTwGYDrwKltIcVAJyIAQPXm9YKzxlypdDmUVvjBfytLvnxPLxfmwm1LXJaMs3jdREMT/N/XOGUWoQGADgD+A+BWMNRDJipGYhJRmzwMt2uAq8YMW9ExVdqUS2L2unDih2+KD89/KL3JpirjbhPFa94X6/QdGOZubPHpKtWIq10ap1Vwlh4EbB6rBmsBTALQA0A+gApIUyUpSGL2g0tEuBBAF/cD9hNlajgd5qRh2THX/3n0v0/WHn35ySZ95vpxt8I68wXBGYItTCORU6UXnP3Oh04jiM6jvwpeoa6CNLXtUkgLGe0Fp7YFDQOdKHaVAJgJqSYFQKql1+7bpUubcmmJJjnVoHQBQ8Fhqa44MO9PQtl3i+Llmtkx5x2XQ61nmLfA2X2MoNOqnc6jO1ReoQ4ABgDnAegHYCOkqW0UYAx0oth1BEA1pGbRk03JrhqzIDodrtTxF0R9Lb1o4WsVe+66MsWct17rqjF73JfQcziEW78W6+I6spndT87uo1WGs6a4NMfyBHtFk9X0VAD6A5gBaYW5QgBOpcscTRjoRLHLAeBXAKdD2nTjJH3X03XpUy+P6lrp0Zceryt4d4GxyYIxRhP0426F6qr/uWoTMhnmrWRL7CRohl3uUrsccv3qgDRg7gIA+yH1rbNfPUAY6ESxrbFf8za41dIdVRWCOtFwwnDG8HilCxgMJV++WyY3LQ1GE3ST7xFt054U7JrEqP5CE0wOdbzg7Hc+mqmtJwIYDmnOeonS5Y0WDHQiqgAwHUBW4wFXjRmqhMS4aKylO2trqv/48yWpcv3l+ls/d9WdcSlr5QFiS+wkNDMKPgWAEcBKSF8sqZ34h0sUu/oByANgg7RkpyeXGJVhvu38fnFyYe68czXnmAeBVWNUWWe+AN3ke7xXlxMAXAVpBHzMLtQTSPzjJYpuCZCW4/wFUi3I1fAjAtgNuSCPUoUfvVKxdXIfo/eOaQk9h8N+93qXVWPk9TCIbBPvF/SjZnsf1gJ4HtLqctRO/AMmil59AfwA4EsAIyHVggRE+SYi3pw15sr8++fajr36bKrcADj1nLdEuyqO18IQUE172CWzslwnAPeBa7+3G/+IiaJTXwBrAYxGDH/OnTXmqm1TB8SVfv2+zscmK05zxqCY+oKjpDpdB5X66tflmt6vBjBC6fJFupj9oBNFuZcg1XzarHpLDpw15ohdAKTwg/9Wbp3SL9lWdCzO+76EnsNhuPcHl23cPRwYHGJm01C5pvdEAP8HaU91aiP+MRNFnwQAb8LXF/bEdKD72UBaj1M//SYdxokjSbDXnqytumrMsJcVo8OkmRE3YOnIgkfqCz982SC7j/m4WyFe856rztCFFRqFxJt6Om2bP/deUa4LpEDfAMCqdBkjEZuaiKLPTADfNDlq7FSFv3yfi6wzhkFQpTe5/4PrCrHpw0z3Q9qMLHS9c94J01W3dVD6RfmjbPnnJeUrv+xYvXm94Gsf81je+jSc6Na8INpWzhdgLnI/LEJaGvZ+SDMwGOytwD9soujSF8AHTY4mprvw1OEKaPTnyz7KaS9DSX6TTTPsJQWoyv0p1XTVbUq/Lp+KPn2jvDr3pw6iyyVUb8nJaBLkkJrYVXPedlkyzuI1L0zYxt8r6KsKYF31ovthAcAYAF9BCvVF4GYufmOTO1F0SAAwGcArALo3uXfknMMYdEl3n49WqRMw+kYRZ1+3Hju+AeqrTtbIHVUVgjYlrSxxwOCw2te6/Puvio/+94nE0q8/SLBs3yjU7dsJ7/XYG5vYMecdV21SNzaxh5m4bme5tAfW+lpJbiqAckjLEzuULmskYKATRYceAP4FaVS7NxHXvrcZxk7Nz/UVhHgkdOiJUXOL8fPbHWGvBdCwalyiUZ82JXxWUCv69PUTh597oKNle67QJMQbuS3jyt3SwpNdaxR0gy4SVRDlVpLTQNqhrRTATnA1uRax+Yko8vUBsBpAZ9l7O3TficyBQ/0+W0Jqf2SdCeT/dPKQ6LCHRZiXfruwtGL1t2lVm9Z1kGtaB6Tm9fjp82BN7iZaOCUt7NUkmATMfAG65Cy5PnU9gPkAdABeB1CrdHnDGQOdKLLFAXgNvsLc2MmCeX8YZAfBtYbCy8AWvLugyrwtN7l6S05HX33k8dPnARBgPv08V7k6XgUO+o0otvH3CjrAZVs5X+UV6nEAnoHU/L4QbH73iU3uRJFtGoAHIR9elbj3541I6Ty8leeErngHnAdyT952VFfAsmMTKn5cYtcYU0riuvYwhuLFOWssVfsfuVVVuvijRMuOXMg1ryf0HA7htiWuKtMwoS6tD5wqLYM8Qjm7jxF0WrXTeXSH95Q2LaTVDpdDaoInGQx0osi2FEBak6NJpgrcl7sZmQOHQRBaO5jtUFyqKcW+7ZuTfZquGjPq9u1E7Z5f1ZUbfjDW/JYnVm/ZUBV/er8qTVKKIRgvrGjhaxV77roi2bwlRyPbT240QT/uNlG85n2xTt8hLLoEqP2c3UerdFq1QybUkyDtzrYCrKXL4jdZosgmNjmSZDqBJw9VQ6Pv3obzlQLYBmCKbvVzom3VAu8+TQ/ajCyxw4Tpdd3ufaZWm5revmZ9APVHDxYXvD0/wX6izFi9JQe+m9cfQ33GAGdN8umslEQp3ZoX5JrfHZDWfX8T7E9vgoFOFLn6ANjT5Ogju76Hqf+UVp7rBIAtDf8/FtI0OBgL82Db9AmsuQvRXLDrOnV2dX/whbL0C2dl+PuEtuLjJWUrvqirP5Sf6jRXxbscdo3sgjCNjCboR82GcME8V702mTXyGKBffK/3PHVAWmzmAQBvgKHugYFOFJlkR7YLWj1U/yp2OfWBDTx/gl2bkYWkEeeIfp3QJQq+auByEnoOh+ra912W9AEM8hgSZ69yqV6epKrdn+d9Vx2Ah8GR7x4Y6ESRaQmAGR5HVFok3Pwxas+6ImhPaijZIeqrjgqWXT+1WGsPhMbmdUuPCS6rJpFhHoMMJb+6LAvOV8n8rdUDeAgM9ZPY/0QUmd6D1+dXP+mvqB93T7tPnFhbKCYdWiOo4pNEu9bo8aXflmiSRpL3Ox+Gs6a4BF2C3IIg7dOwulvKzEfE+vOfFC3pAwWnSsfKR4yyJXbyNfJdA2AcpHEfv4MD5VhDJ4pAcZBqJCc/vwk9h0O843tXnS61XbXYxJpjovjGJULt/jxpOtitX4s1iV2avU742GTDfw1944YBEwCVSqzvOMBVk9SdlQ3yoFu7wGFb8ZxG5u/MCuDvAN6C1BQfs7iwDFHkmQyvL+Px0+ehvJ1hDgBxBduE8ob+ytr9eUgr2CbU9O7S7GNs4+8VEkbOdsQX/6aGw+Z/JUGjcyE+yVmTNkCo1yZpGrbVEsCWQ5JhG3ePRgc4bSueU8usJvd8w/+/jRhufmegE0WeFzxuGU2wJXcToWCLW21Cpqa2R2ZrH6aCrz3biWTYxt2jbibUnwVwFHJbB8cIfpiIIk9v9xv6UbNh5prlFCNs4+5R66be74TR5H2XAdIGRWG1K2AoMdCJIks/7wOGAeOVLhNRSDUT6n0A3IYYDXUGOlFk+UjpAhCFA9u4e9T6UXO81z0QADwF4ArEYJcyA50osgxTugBEYePCJ8SEnk32HkqEFOq9W3/CyMZAJ4ocTZrbE3oOR3XPKS6lC0akBKsmUaW69l2XTNN7V0grKc5EDDW/M9CJIkeT5vb46fNgV+n5OaaYZUk/Q6U7/z65UDcB+BDA5ZC2X416vBAQRQ42txPJsI2/V6UfNVvuLiOk6Wx9lC5jKDDQiSIUm9uJThEueMwl058OSBsYvQZgIKJ8oBwDnShCsbmd6JR6bZLKcdc6l37y3yDT/J4N4CsAw1t/5sjBiwER+WTZtUbpIhD5zaaOV1lnvgAfze99ALyMKB4kx0AnopMsPcZ7NFtacxfCWLLDvz3OicLFhY/7an4fCmCK0sULFgY6EZ1k1RhV8dPnnTpgLoKu6iiXlaWIYtUYVc47V8uFugDgRQDJSpcxGBjoROSF+U2Rz6oxqsQ7VsqFeg8AywGMAaBTupyBxEAnIqKoVKfroIqf/pjcXaMBfAYp1KMGA52IiKKW+fTzmpvO9ozS5QskBjoREUUtmzpeJf55pa/pbGcrXb5AYqATEVFUq9N38DWdLaoyMKpeDBEFAmepUXQyDBivdBGCioFOFBlC9lltspiMwFHvFC2i+2+ZgU4UGbqF4kni7NUOa+5Cz4N6g0PpF09ELWOgE0WG20PxJInHclUwF506YDTBkslN3ogiAQOdKPxpAFzvccRogjW9nzPQT2T5daXHNUE/ao5o1RiieocqomjBQCcKf30AdHI/oB81G5bU3upAPkli9SGnR3O70QTtubdye1aiCMFAJwp/N8FrNI9hwISAP0lcyU61e3O79KWhT0C/NBCFGQFAX6ULESgMdKLwFg9gjscRownWTgMD3twO0XO6WrRP8SFqsARAd0RBHkb8CyCKYgkAbgWQ4X5QP2o2LEk9glBz5vxzim625K6izGpxfQDkABisdPnai4FOFL7OA/AsvJvbB05UulxEEcmcMUiQWS0OkNZ1f1fp8rUXA50oPCUA+FfDf08d7Dkc1adPZlWaqI3U5z/ga7OWswD0U7p87cFAJwpP5wPo73HEaILq2ndddpUuupe7Igqi2riOKuedP/kK9Y+ULl97MNCJwtND8Gpq14+aI1rSz+BnlqidrBqDKn76PLm7hgEwKl2+tuLFgSg8DXG/kdBzOMTpT7GpnShAqntO8VVLfxfSQLmIm7LJQCcKTx6fzfjp82BTx4f28yrw8kDRy67S+6qlXwrgGwDjAWiVLmdr8BNLFBGC323uscua0QRrSg+uEkdRzXz6eXK1dAHS+JUvAIxWuoytwUAnIujWvCC6L/uqHzUblvQBvD5QVLOpE1TCbUt8Nb2nAFiOCBr5zg8sUYwzlO1y2VbOF9yXfeUqcRQrahIyVY671rr0k++VW3QmARE08p2BThTD9A6zy/Xh9R5bpib0HI7a08ayuZ1ihk2doLLOnO9r0ZlhAOKULqM/GOhE4acvQtFpDsBwcI2qdn/eqQNGE9Rz3hLrdB14baDYc+ETvprfb4LXIk/hiB9aovDz71A9kfdAON3594nmjEFcuIZiUjPz0/8PwEyE+VQ2BjpReNEAmORxxGiSNpUIMGPJjiYD4Wzj72WYU0yz9BgvV0tPBDAfwGlKl685DHSi8HI6pFA/ST9qNoJRa7Zt/IAD4Yi8WDVGlWrO2y6ZAXJZAOZB2tI4LDHQicLLzd4HDAMmBPxJjEVbPWrnMJpgTe8b+D3WiSKQJeMsle78++RCfQ6k/vSwDHUGOlF4uc7jltGE+k5nBDRodc46l/OT2zxq5/pRc0RLap+w7h8kCiXb+HtVMqPeNQCeB3ArwnCQHAOdKLxkuN/Qj5qNmqTuAQ1aYemjgvvI9oSew4ELn+A68URe1FMflOtPjwPwTwCXIcyWhmWgE4UXj77yQPdr69a+6LLmfnzqOYwmqK9+XbRqEnktIPJSq0/31Z8eD+BZSFNMwwY/xEQxwlC2y2Vb8bzKs6l9NsymoRzZTuSDJeMslW7q/U6ZUO8MqT89bDDQicJHUD+P9g1ve4Q5jCZox93OgXBELbCNu0ctM0hOgNTsHjYY6ETho1uwTmwszIP3qHbd1PsdlpTeHAhH5Acfg+SyEEb96Ax0ovDxp6aHAtMabtv0CbxHtdvG3aNpxymJYo7MFFIVgD5Kl8u9MEQUHq7xuGU0wdqx/XPDE6sPOb1r59rxf+LmK0StpVJ5zwYREEb96Ax0ovDRyf2GftRsBKJJPK74d7X3QDhLck82tRO1Un3GGXIj3q9CmKzxzkAnCh8eF4XATVnzrFRwiVeitqkxdlPL9KObAPRQumwAA52IiMhvMv3oAoBblC4XwEAninoeW6QCgMCPPVFb1WcMkJuTPlfpcgEMdKKollh1oMmAOGvHfpx7TtRGNcmnyzW7ZwAYCoUzlYFOFMXiSndzQBxRgPkYh7IYCu+XzkAnCg/BWRNa9JydxgFxREHTBbJrSYQOA50oPLzc9BCXWCcKR9U9zxdldmEDpP3SFcNAJwoP53rcMppgM2ZyS1OiMGRX6QTxjlVyW6uaAOiVKhcDnSg86NxvSLugDWMVnShM1elSVPHTH/M+rIL05VyRzy4DnSgMBaqvu8mUNTbjEwVO06VgAeAlSJu2hL44yr4bRAQgIRgnNZbsEN2nrCX0HA7z6edxDXeiADF3nyDXl94PwL8BpIa6PAx0IuVNbnqo/TVpXdVRwX3KWvz0ebCp4/mZJwoQmzpepb76NVFmoZmLAcwKdXn44SZS3oNNjgjBaBpncztRoJlNwwSZhWY0AP4a6rIw0ImUN9T9RkLP4ag+fRKbxokihHDB43Ij3nsiSN1pvjDQiZSncb8RP30e7Co9P5tEEaJea1TFT5/nfVgD4HJ4fb6DiRcNorDDpnGiiCO/6dHTAHqFqggMdCIionaqPn2y3Ij3rgBuClUZGOhERETtZFfpBPWct+RGvF8TqjIw0ImIiALAnDFIbsR7p1A9PwOdiIgoQGRWeQzZoBgGOhERURRgoBMREUUBBjoREVEUYKATERFFAQY6ERFRFGCgExERRQEGOhERURRgoBMREUUBBjoREVEUYKATERFFAQY6ERFRFGCgExERRQEGOhERURRgoBMREUUBBjpRlLLs+knpIhBRCDHQiaKQoex3lzV34akDRhNsyV1FpctFRMHDQI8ufQB8B8AKoAbA0oZjFGPsG95VwVx08rZ+1GyYMwYJSpeLiIKHgR49EgC8BWAqAF3D7QsB7AbwC4AZDccoyhlLdojetXPt6OtdSpeLKIb1C8WTMNCjQwKAWwFkA/CuhakAjATwNYA1AOYCyAT/7cNWe/u+dVVHBe/auSXjLP57EynnrVA8CT/k0WEKgGfQNMzdqQGMAPAOgH0AfgJwM4CuDfeRMvoA8OjbtuYuhLFkRzv6uz0fahgwQenXSBQzbMbOIowm78NjQvHcDPTo8CT8b04XGn73XABvQGqS/wnAbQC6geEeDHEALgDwM4B6AC63nz3w/hyai6RadhtoXTaxbumTpw4YTbAZszgYjihEzKahgn7UbO/DIRm/wkCPDv09bhlN0E/+G9LuXoKEnsObe5wAIBHAOQD+B2ArgP9A6u/RKP2iWkEFIAPAtQB+BGCGVE0Nl586AMsAjAagb3jfG3+aaseI9KQDq4Ta/Xknb+tHzYbZNJSD4YhCyDBgvCLPy0CPfAnwCl/9qNmwznwB5b1nQLxjlUs/+V65JiBvKgBpAO6AVGuvAbAKQF+lX6CbvpAC2wGpdtsYmE4AxQA+ADARgEHpgraZ0QTd5HvENo9IFz3Hvil1YSGi0IukWhjJm+R9wDBgPKwN/1+nS1Fh5nzEXTDPkXj8F8GyY6XKmvuxx6ApH3QN5/5D6RcYE4wm6EfNhm7k1TBnDm9TmOucda66pU96fknX6EWEqLmPiJTFQI98DzY5IjRteKnXJmnqu08Guk+Wwr1gs2DZvtzfcKcASeg5HPHT58E7Y63JXUVLxiDB2rbTAgCMB1eryt2a2xN6Dkf1aeOVfslEFCIM9Mg3zP1GQs/hMPeY6EIz3Sn12iRN/WnnAaedJ4X7sVyV5deVKmvuQkR8uDfUdMOzqVmApcc4V7nGqJK9s50sO1d73I6f/hhqVTrWzoliBAM98nn8G8ZPn4dydbzfYyPqtUma+h5TgB5TYJjwF6e++He1ZdcahHW4+wptQQVrSg+XJX2Aqj013SALyrgV3ZoXRGvuwlPhbTShPnOQA/yME8UMftijTtsrZJakHmpLUg+g9wwYz54t6syFgvec5nBgS+4mmn03T8fcQE9D+W6XZeX8U0u9NgysqzF05eebKIbwAx/Z+iBIA57MpmECWhwYrxg2I7ux57zVZN1268T7+R4RxZiYq80EQDyAmQC2A7BDqsK6IE2d2g7gEoRuzfT5Sr8ZpCxjwWZ4r9uuG3m10sUiIgUw0P2XACmst0BaF30QTrVwCJDey0EA3gYwOURlmuJxi1tkxhSds9blXPRnNNlVLXN4O85KRJGKge6fBEjrnn8AaVW25pozUyEtxB+KBVl07je4RWZsEZY+qnJfFY61cwoXiSW/Kl2EmMRAb15j8/pvkJZE9XcFsnRIC7I0rtddD2kd7wsgresdFOE5VYuCweC9RSoA/ag5ImvnpCSty+rSL74XNW9dC/3ie6F31HDb3hBioPsWD+AmAB8DOF3uF7JM6bjykknIMqX7Okfjet16SOt4L4O0rrcIYC+AixDQgGflPBZoXVaX6+ObPRYESug5HLjwcXa3kKKS9q9SWVe9CBT8CuuqF4Fl85gxIcQ327fzAfwL0uYlTWSZ0sWH/n5TxaIP/oWX5t9f3Eyo+9IbwKeQvjSEahAdRQHVtw97bMCS0HM48KdlLqvGwM8zhRVr7kIYynaylh4ivAA0pQLQA8CrkAnzLFM6rr3qAtsfW7+suuPWK1IB4LKZEzvd9eerzW0I9XgALwOoBPADwmsjFApDurULHNbcjz2aYuKnz0NtXAY/y6Q4S48JLo8dHs1FcH04VxVvPcFQDwHOQ2/qTEij2JvMws4ypeO+u6+tuucvc5LhNSDtH/dcbxw2uF/h+wuXdrTbHSf3FBddopCzcTsKisqae04tgPMg9buLACwA8gC8B+BbSIHP5tQYp1u7wGFb8ZzGu6m9uufkZpf6JQoVqyZRZZjztgsLzj+5NkLt/jzoVzyjwswXlC5e1GOnq6e+ADZCGqnuIcuULu7Z9lW1wZCQ3NqT/uPRl8qe+/cHra6+t1ba3UtQ3ntGaN4pCind2gVO24rn1B7L8RpNMNz7g8uSPpBhTmFFt+YFl81r9cLEBzY4a5JPV7fvzJEhLf9blP/nIu/DQc9bXgg8vQ75MMeTj/7pRFvCHACyMjvWQNrDO6gsu9YE/Q2i0NOtfk6UC3Pd1PudDHMKR7bx96r0o2afOmAuQlzp7pgIcyXxYuBpjPeBLFM6/nbXNdU3XTczrbUn+2rJ6uKr5j4oPrfg/dMQgu4N684fEG8+xr6qKBFnr3LpF98L26oFgkyYO2zj7uEFksJWk2m0Ii9NwcY+dE9a9xtefeYt+mrJ6uIvv1md7nBIfeg5G7d3aqHvPKD0AyehztiFX9KihPjdk9IUIHcNNXPbuHv42SUiD7woePIYXJQ9ejD8CfOvlqwu/uyrVRnrN2xrVYBnmdKRPXpwmwvrPdjOMGA8wnjbUGoF3ernPLdDhTQATjXnbZcl4yzWzImoCQa6p7UAxkEKdde52UOPAOju/UttrYm7B7igEsRLZkwonXXZlIy2FvaquQ+Ki75c5XbR5xjHaGAo2+myrFqgarJwzJ+Xuyz6dLbAEJGsWA/0vgDehLSKm/d7oXr2+Xe6r8vZ2uRBrW1KbwzyS2dOLHELcAFAm8OcopPWVe9yfThXNsxrGeZE1IxoC/R4SCu8PQOgH9o56K+gqAyfff1Dqx/XTE2cAU7NStr/g6rca8MV1Zy3WTMnohZFWqCrAWQBmArgagBDARjh2dasWLsza+LUHvG2Slfd0ic8gls/ao5oyTiLYU5ELQqnQFcB6IxTYT0EUljLXczCorM4/GriXEwukrmWP6Wyeq3R7pj+lIgw+XsnovAWDoGuAfA3AA8CSIZCF6/WjjiXGdQW8pq4Vqtxwu3fsG7pk0i8bbirJiGTNboIYyjf7bLkLjz172Y0QT3nLbFWHc9/SyLyi5KBngxgDoDbAPSH1xzw9mpNQLdxxLniTenTp55zYvWazRmNA/Rq9+dBv2o+10yOQPoT+1QWt4Fw+lGzYc4YxJo5EfktFIEuuP03A8A0SFuGDkMA9gJvDG5BJZxsb9ZqNc5pk8dWzL5yasdWlDHi+rlnXTYlY+mKHPtHn3538suQNXchdMlZom38vQyDCOKxbK/RBN3o60Qrm9qJqBWCGehpAO4E8HBbnyfLlI5zxg5p0jEsCAISE+Lrzzqjd8ktcy/pEB+v9x4YpwHgb5hHtH898ZeK1Ws2dSwoKpNev7kItpXzBcOQi52W5J5cgCQCGEp+9WhuZ+2ciNoiGIGeDGle92UALvX3ORpr2iq1SmwM65uvvzg1ISEuycdD4gGcpsi7FkY6Z2VkvPivv5X87YEXTza9w1wE+5r/qdn0HhnsG9/3mHfOFf+IqC0CGehaAA8B+DOAdDQzB9y7f1ulVonZo4dU3nHrFamQatoM61aYddmUjOXf/2x7f+HSk3u0W3MXwjj6OpE1vfCmd9Y4rLkLPT+HugQnpCmaRER+C1SgCwDeAzBb7k6jIQHZoweLSUmJ0Go1zulTzznhNQBNgMy2peS/e++6pnzV6lyTe9O78+ObhcTbvhVrEkwM9TBlKMiD1WsntZqskZx/SFHA87Jj2bUG6D1D6UJFtUAF+vkArpC746yBvfDLmvcRF6dv/NfVIAIHoIW7Mwf2yrzjtistr7z+mcFz1PvzApvew5itxqMmrh81G/VaYzhMJyVql/qMAU4YTerG7iRr7kIkTrzLUWM8jX/fQRKIN7YXgA8hM+0sJdmAJx+5HXFxeqVfZ4tWr91c+O5H36bb7Xaf74lOq7U/fP+N5X17d89UurxyHrrvRsOvv+d7bNjCpvcw53J5/LsYBkxg/zlFhZrk09X6UbNxcgtgcxHiSnapa4zsTQ2WQAT6K5D6zE/qkpWBqZPHOP7+12vru3buZFD6Rfqy6MvvS5auyEm1WW3anI3bM/3YcEW3Zv2W5K0bPi5LT0tJ9+c5Qu3i6eNL12/Y5jFATld1REDGIKWLRkQxxjBgwqlABwCXkxWLIPIV6AL8X0d0oveBaVPG2t7478M6AIqG+aIvvy/5+tufOoouUfaPKGfj9ozW7JoGAEePFycMGnVVwnNP3106Z9a0sJsad9Xl52d8veSnNm0qQ0RE7SPtyfCk96BwVyie21egN64f7U+oe/QBdsnKwIJ//c0KQOfHYwPCV3C3JbD9UVBUhvsf+U/H33bts/3riTtD9jr9pVKrXHCbZcDBKEQUHqJ/vKdr+dOC+54MDfJD8dzNNbm36Z2fcO5wJCbGGwNd0OZq24EMbu+V59Zv2CbInbugqAwfLlymO3jwOC66cFxY1danTBx1Yl3O1vTGcltzF8Iw+jrRwn50IlJQtFcuEi1HHTW5H3vnqh3SXiVBF3ajDUNd23YPcK1G47p+zvSSSRPOzkTDnItFX37vuWiLm8b90nM2bu8IIGxC/YZrL0pfsernU83u5iLoq44KFvajE1EI2YxZIowmwX2ku87YSbRNvD8qKxdxxb+ra9ynoUo+A7AiFM8f8ED/aV0ecjZuL8kePbjZqWmhDG5fG7XILGijBuAxgn3WZVMyamvry1as+jm9oXzwLl9BURmWLFvbcc6saYF+O9usoYUhKj800SX6myApdplNQwXvke62VQsE44BJotk0NPquT00H/YkA/g9AXSiePhCBboXbJivHCkpw9dyHMiaOGyECwOq1m4Wy8koM7H86unUxQauVnjLYNe5GKrVKnDHt3DIfG7X4taDNDddelH7DtRcBAP7x6Ev2jz79ThuMslPs8diUBQCE6LvGUWzTTP67qD6wTqht7Fc2F0FnLhBgGqp00YJA9gv6H6F69kAE+moAF7gfOFZQgg8+WeZxZdqy/Q9s2d6m11UP4DCAUkhfHLoD6AAfS8tOHD/C8eGbT7m/LgEB3Kjl/566S9uvT/eyR578XzpDndoj0XzEWZO78NSgUqMJ9Z3OcCAMu8KI2qomwSSkTZ+H2v9c5HY0+lqmdM5audHt9oafkFC1/xT4G4I3JL8e0pKykwGMB3AegEcB7ASwHsBd3s+t1+mC/ubdcO1F6f7utU7kS1zJTo9NWfSjZoOraFF08mx5qlv6JOJtFSGZyhUqxgM/qmqbjm7fGsoyBCLQ90Dq8A/kVy4XgM0A+gP4E4CjAJwAqgG8DinUrwOwCkCB+wM1Wo0z6O9aBKpb+gTS8pdC56yNqg9RRPPqbzMMmKB0iYiCwpbcVYTRdPJ27f48uJY/HYj8CXdPh/LJ2vuGNl6Q/gYp1O2Qgt39xwWgBMDjAHIBONwe7x7cgtuPGsBIAIdknlME8F3DffsA7IdbLX3ZivVxT/7rzcIf12wqDNab9vATr1hzNm4P1umDonZ/Hsr/MwOal8aptC4rQ52IQsacMUjQj5rjUemz5i6Ebs0L0df27ml1KJ+svc17IqQ13PfAqx/dhycRmJp8Y7O6A8ByAF0hbbcqHDteon7smdczGwfH6XRaZ3KysaZ3z64VV1w6KSHL1LFd/ekLP1tR+t5H33YM1/7zb5auKV705fcZ6zdskx1dVbs/D2n7v1eVR/Fc0MgR7dcyolPE6U+JeoiCNXchYC6SRryvnC8YzrzAZUnrH6219ZCMbm8UiP661vRZB+MK9m7Df88FMAIN68o3zhGHVNtPApD03IL3cW72UNeEc4dX3HrDpWn+nHzpivVFi778Pt1ud6gBYP2GbbJhnrNxO9587+vyW+Ze4td5A/oGfLik7PvVuWkup0vI2bi9U3NfNhJ6Dof59EkeK8lR6CVYyz0H0BhNUrMkpxpSlLKp41WY+QL0gMc0NnvOWyruCBkY0Xbx+A5Ai5PB3ae2Na4IJ0d0iYLcvPPmzjv3mhnWZx67IyTby33+9Q8lXy1Z3XFdzlahpTIm9ByO+OnzYOkxwWXVGBjmCtMvvtdj0wr95L/ByosaxQBD+W6XZf7EUwNCjSboJt8T8YvNpOV/i3KPkfwAQpyxEf0GypgN4D/w2v0tlLJM6fjTLVfUPHL/TYnBfJ7X3/nqxJP/fKODv1820u5egnBsZjcWbRV15gL//w41OrE+Y6CzJrFzxI4GN5zY47Q8P17tfkEz3LOCS/NSzNCteUG0rZwvuH8GEh/e5KgxdI3Yz7X3l3RILdIhrTxF7JvnwzIAfQHMU6oABUVlePXNzxPPGTOkcFz20IDvm/7BwmWly1dtSFuXs9XvMJeEV1bonLUuYemjKnPuQgFNl0ps/oUYTRrd+feJtvH3hteL8pN9/ZtNpqsxzCmW2MbfK+irCjz3Si/crqnp3VXporWJsWSHaM5d6P0Z3h/qckRboFcBeAzSVDePwW9dO3eqGzPqrDhfm620xH3N98blagWVIPbo3rnsg4+XphcUlZ38xywoKsO7Hy5JG5cduJWQGpfK9dWH78UOabBi2BKWzhO8vs36r2Ewjb6qAIYB4+Hzy4ogABqdsy7jDLE2ITMs/tb1zhqH1WvzBsNZ57usHNNAMcYwYDzafA0IM7qqo3IVk3tDXY6wuMgFQbz3gY/fefrQOWOG9H/zva/L16zbkuJ0Of2+gAqCIF556eSSS2ZMMMEzPQQAHYuKy63vffStR795a87fkuXfbyj62wMvdnL/0iDjGIC/QJqbXwtpKl/Y1fqMhXmwbfoE1qbfZlvHXATrqhf9uSCoYTRBP2p203neKpVY3+lMZyib+QwFebC6f/CNJtR0Gc1BikTRRYR0LQ6paA30JmFRVWURAOCWuZek3TL3kracz+Trzvp6q8ee6FmmdFx4fvYJABktnbglHyxcVvrgY/81NVMrFwEcAHARgF0BfA8DKrG20OVYNV9lbpyy4vu1NKdtXwJ8h78Ao0lzMuxVarEuc7AzqLV5W43a/aZ+1GzUa43R+jkkakbT1eO0d09x2VX6aPlyG9Ipa0D01gqarBb3zdI1pwXryUTRM4eyRw/GVZef3+4wf/zZN+oefOy/zTWxuwD8DOAaAHuD9fraK7G20CW+fpHKuupFX2F+FMBZkP4eff3oAYwGkIdALjXcEPbl/5mB8gUXCLVPDdUEdbELl4urwxEBsPQY70roOfzk7dr9eUg68EOEZlJ4rCkRoW9ei0q8Dyz/fkP8a299URGMJ/PeAra9Vq/dXHj1DQ+Jb777VbyPMBcBXALACCAbTVfgCxvGgs0QX79Ibo3jRhYAD6PlHYnsAH4BMB3A/ZBWCXSg6cqE7j+t19g/v/heGMp+D9gXB0P5blfakZ+cdUufCNQpiSKaVWNQxU9/zONY3bePIxJXsmyya2Lw9jdpVtj1sQbIUwAe8T6YZUrHay89XDRj2jmmNpzzpDXrtxS+/cHidLvdrgEA74F2WaZ0nDN2iKjVapw3XHNR6cRxI3yOdl+9dnPhux99e/Jcfsx9FwGsATCxhWJ69KGn3f0tyntPD+Jb7slYsBm2zZ/C2nwT+x4A/wDwPQLbPKWCNHVxNICZAM4B0BlSLb/xPWn5b99X33srWXb9JP8+GE0w3r0sOveFJvKDzlnn0rx0rscX/rS/LkV5rwuVLprfEs2HHTXPjtJ4fb6PQVrBNKSi9UKSAeBXAJ2877jq8iniJ+8+2+rX/cU3P5YsXrY21Wa1aVu52Iz48TvPFI0/Z1iTUG+YS57awmA3d3YA6wDcASkMm+OEWwtMqAK9sa+8hSA3Q1rVr6XXECxaAP0A3ATgcgCZUKC1iovJEDVdkCXUlY92l3/fMpT/u0l5XwJwd6jLEq2DcUogrS2/FNLF+qR1OVuFWdc94POB8fFxtrq6ep338ZyN2zPaMt2toKhMePuDxenjzxkGAPh2+fqiz778vqPd4VCt37DN37nkIoAcAFMhjWD3hxVuo/0tu34CgvwhSbQcE8U3L1FZfTevA8qHOSB9MfoNwF8bfrQAhkFalGgEQvFF12iC7uzZojV6v1QT+SmyPwKWnU32X3EBeEuJskRroAPAdgBjIfW1nqx9ua3x7osOAdbYnP7wE69Y3/voW1Mrvxi4IO1k9zf4H+aA1OTTu/GGNXchEibf5wjWCG5jyQ7R+fHNQm3zYb4J0ra3Soa5nMb++YsgrWFwJ4BUBPFKox81G2bTsMi+khHFuMTqQ86a3IVqr8MlaHlMUFBEc6C7ABwE8BOA84LxBI195YDnwDjvJvn1G7YJs657ADkbt+v9CPPGwVx2AD9ACvK2BOB6uAU6zEWIL/ldqO0e2MXrDCU7RPvGD4QWVnwL1yB3JwIoBvAMgC8A3AzgMkjTFdXtOG8jr9Ht42FV+hUTUbvEFf+urml63fsErdu0LGCiOdAb3QFgNwJQ23JfLU6r1TjnzplRet74kU0S8qq5D4qLvlzlsXJcC60CIoB8AHMBbAzQ6/4awI0eRxy2QAQTAMBQ9rvLvuFdlaX5IA+H5vXWsgP4Haea4wMlPOa1EFEAyX6s31CqNLEQ6HsgbTI/ET5C3X33Nb1eZ7NabbLN7tljBlfeeftVKQ3n0cCrfx4AVq3+pXD9hm2tqQYXQfpG9xakUA+UXEh/bades9j2TDGW7BB1VUcFQIRl1xpYcheqWliD/XdIA84iKcyJiPyic9Z5boEscULq5lVELAQ6INXS/wtgPGTWOL9o+jjLqwseNDTcbK4PPcXXHR8vWl767fJ16es3bMv0s498K6Td4YIVeFWBOEmCtczlXPFPfzdREQEcB/AQpGbrkK+UREQUCsLSR+XGDO2BgmuCxEqg7wEwBUAHSDuyjXK/c8nStYaKimpx4rgRJ2694dK01pz4zfe+Lv9xzaYOfm6a4gKwA8ATOLXmerAEZGU854p/qvzcQKEWwJuQWhr2QKE+pDDFwW9EUUS3doHTmvuxdxemCJn1T0IpVgK90QlIO+D8ALcpXQVFZVj05Sph/YZtaRs3/WZ9ef791sTE+KTmTvTex9+WLV+5IT1n4/Y0P2vkxQDGIXRN0DfDO0hUKhF+hktCbZHDuep5jTV3YUu/6oQ08PAOhPHyswpLVboARBQYutXPibZVC9QyLZZ7AKxUsmyxFuiAtBb4hwBu9b6joKgM7330rf77HzbqG/vUfcnZuD29FdPPKhDaMAeAaz1uGU2wduzvQjMjtg1V+536sj0qy+8/CrW5CzUtbKJSBOBTAG9DCnLWyH2TWfaKlXaiSKJz1j5nlLcAAG8dSURBVLmEpY+orPLdjzWQlrAOZqtri2Ix0G0A/glgGnwszefHqPSW2AGUQupP/gPA0wh97TXL41aPUbAk9fAI8zi72ZFYuFmAtVZt2fUTLLkL1Zbm+8mrAYwEB7q1hgDv2QZGE6ypPbhlKlEEEZY+KvjofrQCmAdpvRBFxWKgA8ARSGt8vwlgCAJzYRUhTY97BFKzi6Lf1ABsa3htkqNby4zF2wt1xtReKN2ns2xfrqrP/VhT3/JAt0ZmANeDYd5aSQDOdj+gHzUblvSBDHOiCKFb/Zxozf1YrlmtFsCjAF6D8tf8mA10F6TAGw6pL/1mAP8CkNDG89UCmAMpyMNlZPe1kLoWhgAwo+KI0fzUkDS0vq23cYGeh6Fw/1CEGgO38RoAF5UhihQ6Z61LWPqor2b2o5BWlQz05lJtFquB7q4O0sjsowCehbRph7+h54C0CtpNUGipv2YIkLZXhdt//eUCUAZgA4BFkHZ3K4VCWwJGuEubHNHo2dxOFAGEpY/6muXjhNRtu1PpMrpjoEvqAHzT8BMt3gDQy8/fFSH1A+U3vAdfQfqCYgVXOGuv8R63jCbUZwxkoBOFOd2aF1zW3IVyn9PGzbLCrvuRgR69Rrdwvwjpi8xWAB8BWA5pEJ9T6YJHmc7uN/SjZqMmsTM/d0RhTLd2gcO2cr7cTB8XTk3TVWwBGV94YYlemyCNSPdWC2ALgPchjcosAkM8mOLcb7D/nCi8Gcp2uiwrnpML8xOQxl0dVLqMvjDQo9dcAB+jcVCcFOLvQqqJl4P94Qrh/HOicJVYWyS6Ppwrt0+FFcCfARxWuozNYaBHr90AhipdCCKiSOFY9bxgbbo+ez2AfwBYjDCvCHFgDhERxTxjYR5klrpuXJ/9LUjBHtYY6EREFNP0jhqX89M/QaapfTOA/yEMFo3xBwOdiIhi27LH5LZCrQJwHcJk0Rh/MNCJiChmxdnNDpllXZ2Q9mAIu7nmzWGgExFRzEo8tlFuVPt2hMFmK63FQCciophl+XWldw6KCJPNVlqLgU5ERDHJWLJDlBnZXglgmdJlawsGOhERxSTbxg/kdlH7EECx0mVrCwY6EREpSJn9n4xFW+Rq52UAFiDMF5DxhYFORESK0LqsrrqlT3oe1OhCkvC2X2T3OP8LgCNKvy9txUAnIiJFJB1e6zH/O6HncFSfNi7oga5b/Zxc7dwOYAkitHYOMNCJiEgpDpvH/O/46fNgV+mDmku6tQuctlUL5GrnKxFBi8jIYaATEVGYCO5uhLq1Cxy2Fc+pZcK8HMB9Sr/69mKgExFR1NOtXeC0ye9zXgvgJkTYqnByGOhERBTVDGU7XT5q5lYAjwL4XukyBgIDnYiIopp9wztyy7vWA3gIwKuI8L7zRgx0IiKKWj7mm1sBPAxpideoCHOAgU5ERFFMZr65CKlmHpHrtTeHgU5ERFHJUL7bJVM7L4HUzB5VYQ4w0ImIKErZc95SydTOP0EUNbO7Y6ATEVHUMVTuc8rUzi0A3lS6bMHCQCcioqijL90tN03tAwB7lS5bsDDQiYgoVrwAwKF0IYKFgU5ERFHHsmuN3OHDSpcrmBjoREQUVQwlO+Tmnh9ABO+k5g8GOhERRRV91RG53dTuUbpcwcZAJyKiqKF1WV11S5/0PuxAlKzX3hwGOhERRY2kAz+oavfneR/eCmnt9qjGQCcioughinJHn1W6WKHAQCcioigiG+irlC5VKDDQiYgo2kXduu1yGOhERERRgIFOREQUBRjoREREUYCBTkREFAUY6ERERFGAgU4UUmL7T0FEJIOBThRcHgnuYwcoIqJ2Y6ATBZfHDhHW3IVIrDrgVLpQRBR9GOhEwfWZxy1zEeJKd6uVLhRRNDKc2OOU2ZglZjDQiYLrLXjtwWzZuVrpMhFFHd3q50TL8+PVMhuz2JQuW6holC4AUZTbC2nZSUPjAWvxAaXLRBQVjCU7RF3VEcGyaw2suQvl9kAHgM1KlzNUGOhEwWUHUAG3QMfBXMTZqxz12mR+/ojawFi0RbT9slAw+w7xRgcB3KV0eUOFFxSi4DsGoOvJW+YiGCr2ueozhildLqKIo1v9nGhetaClIK8H8B6A+QAOKV3mUGEfOlHw7fI+INZXc2AcUSvpVj8n2poPcxeAjQAmQKqZ7wcQM7NKGOhEwZcL7xVlnHZ+9ohasdCSoWynq5kwFwHsAfBXABcD+AVSd1dMYZM7UfBtanLEaReULhRRpNC6rC7Xh3NVMmEuAlgJKcj3KF1OpTHQiYKv6bB2kUvAEjVZOVGQ/56r+vZhQWY6Wh2AWQC+Vfp1hAs2+xEFX43SBSAKN4nmI05r7sJTB4wmWDMGNOnvNpT97rLmfuyd9CKAhwH8oPTrCCcMdKLgY3WcyEtcyU6PJnT9qNmwJPXwGCyaUF/qcn14g1xT+28AXoNUS6cGDHQiIgo9l9Oj1m0YMMHj7nhbhQuvXqDy0dT+CBjmTbAPnYiIwo5r+dMqa9MwZ1N7M1hDJyKisGIszINH//opP4NN7T4x0IlCw3ODll0/KV0eIkU1+QyoVCIAJNYUiM5P/wSZfvNCADeBYe4TV6siCo1bACQ13nCWHoRhyIUuW0JHzkenmKN3WBzWD29VwWY5eUxdftBq7NwL9g9vlNsx7QSAc8G55s1ioBOFRjcAo07eslkgaPWCs9/5SpeLKORSCza6ale/7NFCbDtxTKjb8J7GXlHg/esuANcAyFG63OGOTe5EofEWALP7AWvuQhgq9sbMOtNEjcR6i9yAbF8VzE2QVoOjFjDQiUJjD4APPY6Yi6Av28NWMoo9/q+UmAtgLoBapYscCRjoRKHhgLSVo8P9YJOlL4mo0VYA54H95n5joBOFzmEAR90PWHMXIrHmuKON5yOKVicAzAZr5q3CQCcKHReAHz2OmIukJTCJCJA+I1sAjAFr5q3GCwlRaH3R5IjDys8hEfAMgAng9LQ244WEKLRyAdjcD7AfnQgipPXZ14HN7G3GQCcKrWqwH52IgoCBThRaIoC1HkfMRYgr+pXT14ioXRjoRKH3Jbz2SLf8/gOXgKVYp1W6AJGOgU4Uer8AKHc/YM1diETLUTa7UyzrrXQBIh0DnSj0KgB86nHEXIS44t/Z7E6xQaX2XipOAHCj0sWKdAx0otBzAXgdXs3ucDnZ7E4xoT5jgBNGk/fhq5UuV6RjoBMpg/NsKWbVGE/T6EfN9j6cqXS5Ih0DnUgZdqULQKQkw4DxShch6jDQiYhIAexhCjQGOhERURRgoBOFDb/3iCYiaoKBTqQcl/sNrulORO3BQCdSToX7DWvuQiTUFnJxGSJqEwY6kXKa7I0eX7iNi8sQUZsw0ImU8za8m91//5FDf4moTRjoRMrZCGC/+wFr7kIYKvY6lS4YEUUeBjqRcmog1dJPMRdBX7aXze5E1GoMdCLliAA+kT9MRNQ6DHQiZR1XugBEFB0Y6ETKYn85EQUEA51IeVxghojajYFOpLxS9xvW3IUwVO1nzZ2iHMeKBBoDnUh5H3ncMhdBX7KbI90pqrElKvAY6ETKe6XpIdZeKHoZi7aI1tyF3oe57HE7MdCJlHcIgNX9AGsvFM105kIB5iLvwz8rXa5Ix0AnUp4I4Kj7AWvuQiTWHGeNhWLJbUoXINIx0InCw1qPW+YixBXtYD86xQoRwB6lCxHpGOhE4eFL7wPcqIWiF8eIBAMDnSg8/AKv+ejW3IUwluzglY+I/MJAJwoPlQDWeRwxF0FXdZS1dIo6MoM+ue5CADDQicKDC8DtSheCKNgMJTvkpqyx/zwAGOhE4WMP2LlIUU5fdVRuytojSpcrGjDQiYgohES5A98rXapowEAnCmussFNMqFW6ANGAgU4UXjwSnCvGUbSR+Zt2teE0JIOBThRePDoXrbkLYSjfzQseRQVj0Va5AXE7lC5XtGCgE4WXRR63zEWw57zFzylFBZ25QG5A3DNKlyta8EJBFF7eBlDtfsCauxCJ5iOcp0vRSASwQulCRAsGOlF42QvgU48j5iLElfzOzypFAdlBnhwQFyC8SBCFFzuA/zY56nJxxTiKaDpnnatu6ZPeh+1KlyuaMNCJwg8XmKGoYzy4WlW7P8/78K9KlyuaMNCJwg9rLRR9RNnJGk8pXaxowkAnIiKlrFK6ANGEgU5EREqpU7oA0YSBTkREQSezQhzHiQQYA50oIvDaR5HLKL9l6h9KlyvaMNCJwpPHwLi6pU9C56zjErAUkXTyW6Y+pHS5og0DnSg8eUznqd2fB+OhnzgXnaKFCGCl0oWINgx0ovDUdDqPy8lAJyKfGOhE4ekHpQtAFEQCgFsBxCtdkGjCQCcKT1zfmqKGLbmrCKPJ+/D/QQr1BKXLFy0Y6EREFFTmjEGCftRs78N6AP8EcBsY6gHBQCcioqDTjr7eJVNLjwfwLBjqAcFAJyKioLNknKXSTb3fKRPqcQCeBDBZ6TJGOrXSBSAinx6DNHgIAOBKyoSz3/lKl4mozZzdR6t0WrXDeXSHCjaL+106AN0BvK10GSMZa+hE4avY/YY1dyESzYcdSheKqD1s4+7R+KipDwOgVbp8kYyBThS+Pva4ZS5CXMlOtqpRxLONu0ctM0hOA6CP0mWLZAx0ovD1FrwXcefiMhQlDGec571BgQDgdrAruM0Y6EThax8Ap/sBaU33Wq7pThGvPmOgXLP7dZD60qkN+E2IKHy5AFwEIKvxgL2iACl9Rwt1aWyZpMhm16eo9DWFcB7Y6H5YD8AKYJXS5YtErKEThbdnIQX7SZZdPyldJqKA0GbfLDc3/XqlyxWpGOhE4W0lgOPuB6y5C2Eo28lmd4p4lrT+KpnBcR2VLlekYqAThbdaAN97HDEXwb7hHX52KSoYBoz3PsSBn23EiwJR+PsKXs3u1tyFMBbmKV0uomDhLmxtwEAnCn8/A/jN44i5CDpLodLlIgqWiUoXIBIx0InCXxWAa5QuBFFwyLawP6x0qSIRA50o/IkAfvc+aNm1RulyEbWbpccEV0LP4d6HhyldrkjEQCeKHHb3G9bchdAvvheJVQecbT0hkdKsmkRV/PR53oe5pnsbMNCJIkeuxy1zEayrXkTNv8aq9YvvRZy9mlPZKEJxYHsgMNCJIsct8F7bHTgZ7KqXz1MZi7aKrT8tEUUDLv1KFDnKAZwH4DS5O+0VBbBtWyLoawqRorYjwXLUKSZ2dDnUen5xp7CWcGIv6n75xPtwk1USqXls5yCKLH0BvA1gNPxpYTOaoB81RzQMGCd91lUaUUhIcSAuyWlO6q6xqhM1Sr8gorT8pSj/zwz3QyKAsyAzGJR8Y6ATRSYVgG4A1sBHjb1FRhPQYxT0nXqKhgHjBQgC6jMGOmuSurPljkIqbf9ysXzBBd55tADA35QuWyRhoBNFtn4A3gEwEoHoQmus0Z81RazpMspVr01iDZ6CLtF82FHz7CgNzEXuh48B6Kp02SIJA50o8qkgbWhxIYC5AIYDiEN7P99GE/SjZruttS0AGp2rPmOgqyaxM4OeAkq/+F5YV73ofsgFQAeA0zL9xEAnii5qAJkALgAwB8AQAMaAPoNX0NsSO8GcNVLp100RLi3/W5T/5yL3QyKALgAKlC5bpGCgE0UvAVJNvdb9oDYjC52uuKnYUV0Z56qv1Yk2q9blsKurN68X7CVtuHY2BLxm8t/FmgQTrynUJmn7vxPLF1zo/fdzE6QuJfIDP3xE0c9jbnratCvR96VFTX6p7sCewoJ3Xkw68dPSxLYEe0LP4Yif/hiqe0522VWcKketk3bkJ2f5cxO9x4HkAJgAwKF0+SIBA50o+vkV6I1c1vra4s/fKq3Zua2Ts65GD5d48jpRvSUHLYU9g53aQu+wOKyP9vYeGGcHcA6AzeCc9BYx0ImiX6sCvTk1e34rLF38oc5eUpjkstm0zQW8FOzzAAiASiUK+kSnOXM4OPedfNEvvk+0rnrBO5c2ArgMAPcLbgEDnSj6BSzQvRV+8N/K6rycFH9q7gBOTovTjp0rWtLPYO2dPBgq9zkt/3eO2quWDgD5AO4F8AOAOqXLGa64gARR9Hvc/UZC74FIn3ZFQE5sHHR2XPq0K+CqMdfVHcrXumrMzT/AZoHzwEbBtuXrk0vUapx1oi2Rg+kIsMV1UOk0gug8+qsAm8X9rjQAFwGoBvArvHYeJAkDnSj6Pe5+I5CB3ij57PHa+O59iqFWx8ef3k/lqK5As+EuBTvqfvkEtq3fNIS7DWqn1WVL7MRwj2HO7mMEfU0hnAc2et+lgzRArgIMdVkMdKLo97j7jWAEOgDEn97XkDblUlX6tCugN3UpEfRxcfG9+gsJfc6Ao6pC8BnwvsJdEJ22+HQ2y8cg3elnu9Quu+AsPQivmroGwDgAlQB2gKPfPfCbMFH0C1ofur9c9XWWokVvlNf8viWz8ucfdf73t8+GbvR1ojljEK9VMUi3+jnRtmqBINOnbgXwAIDXwT71k1hDJ4p+j7vfCFYNvTmCRqszDh6VkjblEnXmNXfUatMyCrQdOibE9+in9tk831BzP1lr1zpFISHFadckstYeI5w9xgo6rdrpPLpDJVNTHw+gDMBvYE0dAGvoRLFA8Rp6c8q//6r4xPdfd2hpGhyAk6PkNeP/7KpJPp0VkhihW7vAYVvxnEampl4H4HoAX4Lz1BnoRDEgrAPdXfnKL4tPrPqmQ+XG1Rp7SYHv61OTjWNax9qhl8uS1p81/QiiW7vAaVvxnNyUtlJIuw0eUrqMSmOgE0W/iAn0RtaiYyXH33hOX77yy6Rmg72tPL4QeJ1epRKh0oiCLt4l6hOdiEt2VSV01TtUOn4BUFgzof48gPuVLp/SGOhE0S/iAr2Rs662+vhr/6yrP7wvo2rzurZtHhMI7l8ABBWsGQOclqQebPJXgG7NCy7byvkqr1AvAND5/9u78/CmqvwN4G+Spku67wsoKiqIG4KoyCK74C6g4Ibi7szouG/jb3Tcx3XUcd8ZQVCURZAdkRZxZCq4FxAFbNM23dM2XdLk/v64tCS3N22SJjnJzft5Hp6Z3KS33wTMe8+5ZxFdm2gMdCLti9hAd1W36fOK6hUfZh3ojhdbTOcI/FMvlRrzhvN7NMRU9k53QB4oF9X4D5FI+zQR6J2af/nOXDH/lbSOpoYE141jfOH1UrW9ORDsxlFznVzKNnRU9k4HmGe8oiGiyJJ4zIkFAx99vU/nqN3wWWXt+qWpzhZbnOR+vQMA8Hpv+MYKtK17Dm1fL9DHTr3b0X7GbeyGJ2EY6EQUdTImnpubMfFcj8+3W8xVDf/9sr7NvC+ho7ba1NHUEC+1tRqdHfYY1bBvrED76qcMsUBH+xm38XuVhOA/PCIihdicguzscy/JVnuudf+eCvO7z5tq1i5JcQt2OdRjYgG21EkI3vMhIvJB/KED84548N8pw9aWNMTm9XffIORASz1u2R3I3L0CmXtWSYmN+x2ia44SUd9AjfoPgIjIH4bE5NSTVv/csH3qkPj2itK4ric676vLo7B1SM4zxJ12KZJOOFNqzTnW0ZzYj9+7faY6/u0oAL+IrkwkttCJiPxkSExOHbrqJ1tsXv92jy86EPA1z56pa3705Bi59f4Zkqp/jvqlSv2mUw30a0WXJRrv8xBp30OuD0RszqJl+ti4hJyLrrG2V1fo7TWWGK/3gS/+9OCmM/FJDrsxmQ0sLxlijI72bxYpN2w5BMDzomsTiYFOpH0PuT5goAeePi4+IXPSBTFxuf0suvgE3/aB/3qBzv71fH1cc4WUkH2I1G7Kjvr51L1pj0vXxzWXw/HbVtfDJgCPiK5NJP7DIdI+TS0sE0la9++pKHvr6aQOa32iV3PbO5eYPW6i1JJ/ksNmyuf9dg8yd69AzQtuUw8lRPltZAY6kfYx0MNA884fyquWzottr6pIa9i60eBduF8mGcdc62zKGMzeVAUGene8+iMiCoHEQcfnJ97zNACgo7Ghruy1JxxtZfsyPW4601iBtnXP6tq+nm/wZ6vY9sQ8NBaMEP22Q0kHudvdJroQURjoREQhFpOcmj7gricBAA3/3VRuWfJ+Rn3h2ljVrWLdp8F5z2WHuLacIY6m1IHR0MqfAmCp6CJEYZc7kfaxyz0C2OtrasxvPi312Gr3l8u9eZ0pvaMp6zhdqzE5oht0SZbvpKbnp+oU26h+B2Co6NpEYaATaR8DPcJYi7eUV378VkZ94dq4oGwV29V6H3/wmF4vteYc52xOPjRiWvIq26g6EcWztxjoRNrHQI9QrWX7Ksre+GdiR11Nsi8/5/f2sJ1Bf8KZzub+pzlbjSlh3YpX2UY1qgfGMdCJtI+BHmUsS+ZV1X2xMhvoa7hfJhlHXyM1ZR4TliHJke7uGOhE2sdAj2Ktf/xeWfbWU4mOhvpEv+7Nu9x/b807MazWovcQ6DGQu96jDgOdSPsY6AQAaK8ss1R//lFr6/49aY7GhgRnh10OZ6ek86olfyDcjSOvdDblnCC8JawS6AAwEMBvomsTIWyutIiIKLhic/vlFMy9TfW5lt92lpvfez65dsNniarT54CDU+i+XqDvmhsfa3I0F5wiCRk1r75Jy40A7g55LWGALXQi7WMLnbzmbG1pqvjwtdrmn7fn1X+1IdarLnq1UfOe6PVSW9YgZyDmxSc2/OZofnKUQTF1rRJAnrAPUCAGOpH2MdDJLx3WutqyN55ytJXuzQro3PjOC4BjJ6ClYFhHX9asV5m6JgE4BsBOkZ+dCFE7X48oijzk+oC7rZG39HEJCWmnT0rMnDpTl3zCKeUSpNhet4j1xsGd5tC501xaHKCPjXfYY1N8ujefZmhHy38/dD2kA3ASgHdEf36hxhY6kfaxhU4B42xrtVUseLX6QJe80eP9dn+4LFfrrZYVD8O253/Kww5E4RgxBjqR9jHQKSicrS1NlYvfqW7+eXuus6U5TpIkj5ni1faxgRV1+RZ1VzBERBQY+viEpPzL/5zkzWt33jILNas+ClVpUt9PEXmEzyMkIqKotRiAFYEP4G9EvzERGOhERCTKLACHATgbwNsA9gBo7cP5HAC+BnCl6DcmArvciYhIFCeAOgCrDvyhPmALnYiISAMY6ERERBrAQCciItIABjoREZEGMNCJiIg0gIFORESkAQx0IiIiDWCgExERaQADnYiISAMY6ERERBrAQCcioqBqM++vtBYXiS5D8xjoREQUVOa3n41X2Qu9WnRdWsNAJyKioLLXVavtmf6u6Lq0hoFORERBJTkdalnzhui6tIaBTkREoSYB+F10EVrDQCciIhEcogvQGgY6EREFl1PSiS4hGjDQiYgoaKpXLrKoTFmTRNelRQx0IiIKmtoNyzNVpqx9L7ouLWKgExFR0EgdHQaVw4+IrkuLGOhERBQU5vdeqFfpbrcDWC26Ni1ioBMRUVA07tiaqtLdvgOATXRtWsRAJyKigKtaPr/Kuq1QbXQ7u9uDhIFOREQBV/fFCrXBcHsBrBddm1Yx0ImIKKCqV31safhmszJfJAC3AWgRXZ9WMdCJiChgHM1NDXsfuy1LpXW+D8Aa0fVpGQOdiIgCZv9zf0N7ZZkyW5wAXgRb50HFQCciooBw2Jqt1asXp6o8tQ3Ah6Lr0zoGOhERBcRvD/8lTqWrHQD+CsAiuj6tY6ATEVGflb76eFN94do4lad+BVAMududgoiBTkREfdL8y47y8g9eTlJpndsA3AWgQ3SN0YCBTkREfWJ++9lslTDvAHAvOLI9ZBjoRCSE7defy0tff7KsvmhduehayH+WT96trt+6MUblqQ8BvAWObA+ZmL6fgojIN9biLeW7/jorp72yzGDMKUD2+ZfbD7v7n0bRdZHv6grXqK0IVwngITDMQ4otdCIKucoPX8tqrywzAIDdYkbVsg+MlYverBFdF/nmj1cebVZZr71zRbi9ouuLNgx0Igo5Z4fdrXfQbjGjfsv6TNF1kfeaf9lRXjH/1USV1vmPAJaBo9pDjoFORCGnQ/dNuGKz8xpE10Xe8zAQzg7gPnB7VCEY6EQUcobUtGblMV2M0SG6LvJODwPhFgDYKLq+aMVAJ6KQy5kxt9GYU+B2rL2yLF10XdQ7R3NTw77nHlAbCFcO4FFwIJwwDHQiCrnkE07JTx0xVnI91rBts67x+284hS3M/faPvyTYLWa1gXB3A/hddH3RjIFORELE9T+s2vWx3WKGZfE7yaLrIs8qFrxWV79lXazKUz8B+BQAb5sIxEAnIiH6XXeXXtnt3mGtTxRdF6lztrY0lb7yaKpKV3srOBAuLDDQiUiImNSMzJTho90POiWdf2ejYNv7z7ucHvY5vw/ABtH1EQOdiATSxcS4ddFai4tgWTKvSnRd5K5h68bymrVLUlSeKgbwOjgQLiww0IlImLRRk+pcu93tFjMatqzjaPcwU/nJuzkqXe1OcK32sMJAJyJhcmbMzVJ2uzs77AbRddFBjuamhoatG9X+TrYDWC26PjqIgU5EYul1Ut9PQsHy20N/SvDQOr8BQJno+uggBjoREamqWPBaXf1XG9SmqW2DfP+c09TCCAOdiMILR7qHhV6mqT0iuj7qjoFORGHFWlyEusI1XDFOsMrFb9d4mKZ2L7hee1hioBORUDqd+z10u8WM6mUfZImuK9o1/7wjR+VwMYA3wJHtYYmBTkRCZZ13mUW5Ypxyv3QKPUdTY4LK4bfBMA9bDHQiEipj/Dl53VaMI6H2Pfe3NmtxkfKwBGCV6NrIMwY6kbbFiy7AK5y6FjbKP3i5zvLJe3Eqg+HawWlqYY2BTqRt40UX4BeOdBfG+s3mdJUwlwCsB6ephTUGOpG2PSC6AG/o4J7f1uIitP7xe6XouqJN9YqFFpWudgAoAnCH6PqoZwx0Im0b7vrAmFOAlJNH14suSsmYmWN1fWy3mFE+78U40XVFm5q1S9TWbAeAMwHsFF0f9YyBTqRdRgBuq3ylDB+N/Dk3p4kuTCn/qltblSPd7TWWZNF1RZPyD16u89A6/xYc2R4RGOhE2jUYUPRlh+ngs/hDDs9NGTHGrTbJ6eD3Uwh5uHcOAJeJro28w/9giLTrauUB5SIuRABQ9dmCqh5a5yWi6yPvMNCJtGuG8oAxK8/qz4mE4Ej3kKnb+FmmSuu8AWydRxQGOpF2ud2UNuYUIP+Kv7SKLsoTZe8BR7qHRvXKRZaGbzYrs0ACcCvYOo8oDHQi7XL77ztl+GjEHzowT3RRnqiOdP/PS7H+no+8U/vFCrXW+T5wVbiIw0AnihZhOiCuU/6cW7qPdK8qTxVdl9ZJ7e0GlcP3AagSXRv5hoFORGEh/tCB3dZ0lyTeRw8mD1PV7ACWQ94qlSIIA52IwoeyF4ED44LKw1S1bwHYRNdGvmOgE1HY0McY3dYKtxYXofSVx5pF16VFliXzPE1Ve0R0beQf7jlMRGEjbezUuvqtG7M7W412ixnl819JzJw6szzhiEH5ouuLdLUbPqusWfVRptTRYWjYtjnbw0IyG0TXSf5hC52Iwkb2eZdlp46c4NZKt1vMKHvr6TTRtUU6y5J5VXv+fmNu1bIPYqpXLtR5CPMdAMJ2aiP1jIFORGGl4OrbLcrR7nVfroq3/fpzuejaIlndFys9tcg72QFcKrpO8h8DnYjCStKQk/LTz5jmthmI3WLWmd95Lk10bZGqh6VdXb0A4BfRtZL/GOhEFHYKrr693phT4Dbive7LVQkte3dXiK4tEtV/uSrNQ+u8BUAhgNvAwXARj4FORGHHdOSQ/PQzprndy7VbzCh7459caMYPzg67pwHQhZA38XkRQOSs80+qGOhEFJYOtNLdjtV9uSqhzbyf67sHRjuAhwH8Ci4iowkMdCIKS6Yjh+SnjzlTrZVuEl2bRvwG4BvRRVDgMNCJKGz1u+Heum7ru9fXJImuSyM2Qx7ZThrBQCeisJVw+NH5yvXdrdsKdRULXqsTXZsGfCe6AAosBjoRRRS7xYw/Xn4krfaLFRzx3jcW0QVQYDHQiSispZ8xtbpbt7vFrKtZuShTdG0Rjgv1aAwDnYjCWs6MuVkFV97SqAz1HqZikXfKRBdAgcVAJ6Kw1+/6e5JTRoyR+n4mcsFd7DSGgU5EFH0kAI4+n4XCCgOdiCg61YougAKLgU5ERKQBDHQiIiINYKATERFpAAOdiIhIAxjoREREGsBAJyKKPjoA3LVOYxjoRETRaQYArranIQx0IiKN0+kNTpXDjwM4QnRtFDgMdKIoYd1WqKv/agM35IhC6ePOqlWuhQ+gH4BrRddGgcNAJ9KudtcHdosZlk/fyxFdFIVe9nmXZaeNnNChOKwDMEd0bRQ4DHQi7dqgPCB12PnffJTKv/r2KpVWOi/wNIT/cRNp1+2iC6DwkTTkpPyU4aOVh3Wi66LAYaATaddOyLtqEVEUYKATUWRwSmxNEvWAgU5EYa/qswVV1uIit2M6nY69D0QuGOhEFPbqvliZYbeYux4bcwqQNnZajei6iMIJA52Iwp7kdLh9V6UMH42cC+dki66LKJww0ImIiDSAgU5EkUfP++dESgx0IqLoxhzQCP5FEhFFtwGiC6DAYKATEUUL9VsVD4J7o2sCA52IIg8XmfFLTGpGk8rhSwBMFl0b9R0DnYjCnj7G6HB9bC0uQuWiNzkP3Uf9rr+nWWWDllgA94qujfqOgU5EYS/tjGl1rkFkt5jR8PXGdNF1RZr4fgPy8ufc3KQS6sNF10Z9x0AnorCXfe6l2cqdwiSHk99ffuh/w71JKruuxYiui/qO/0EQEUUbzuPXJAY6ERGRBjDQiYiINICBTkREpAEMdCIiIg1goBMREWkAA52IiEgDGOhEREQawEAnosigmDttLS5C9aqPLaLL0pB40QVQ3zDQiSgipJ42oVa5/GvdhuUZouvSCB24QUvEY6ATUUTIm319pnLJUmeH3SC6rkikjzF2qBx+VnRd1DcMdCKKHFyyNCDSx59Tp7JBy1Gi66K+YaATEUWZrLNn5ahs0EIRjoFORBFDp1MMjNtWqGv94/dK0XURhQMGOhFFDGNmjtX1sd1iRvl7/+LobCIw0IkoguTPuaVVee+3vaYyRXRdROGAgU5EESP+0IF5KSPGcGAckQoGOhFFFOWUK+u2Ql3zzh/KRddFJBoDnYgiSmxuvwbXx3aLGdXL5xtF10UkGgOdiCJK1jmXtHe7j15Zliq6LiLRGOhEFFESjzmxoNuKce3tbKFT1GOgE1HE0en13TZqqfpsQZXouohEYqATUcRJOW1cnXKjlvovV6WJritS1KxebLEWF4kugwKMgU5EESdv9g0ZKhu1xIiuK1LUrl+WbreYlYf3iK6L+oaBTkSRSblRi1PSiS4pUni4+LlddF3UNwx0ItIEa3ER6res53x0/0gA1oougvqGgU5EEUmnNzhdH9stZlQtnZcpuq4I1iq6AOobBjoRRaTsC+dYlPPRnXZOX6PoxUAniiYaus+cPubMfO7pTXQQA51I2+yuD6zFRahY+Hqt6KIChgPjiLow0Im0bYfrA7vFDOvXm9JFFxUoOp2u2wIzrX/8Xim6rrDHCx9NYqATadujygOS06mZL3NjZo7V9bHdYkb5vBfjRNcVzlr/+L1SZVEZpz/novDCQCfStg2iCwim/Dm3tCoHxtlrLMmi6wpn5fNejFNZVIbT/TSAgU6kbTbRBQRT/KED81JGjHHrdpecDn6v9cBeXZGicvgT0XVR3/EfPhFRFJEk1fvnb4mui/qOgU5E2sIBX76SAOwUXQT1HQOdiCKaPsbocH2sual5oWHv+ylINAY6EUW09PHn1Cq3Um34+gvNTM0j8hYDnYgiWtbZs3K6rRjHbneKQgx0IiIiDWCgExERaQADnYiISAMY6ERERBrAQCciiiYcMKhZDHQiinz67ruutZn3c9c1hYqFr9eqbMzCOegawUAnoogXk5rR5PrYbjGj7K1n4kXXFW6sX29KV9mY5TvRdVFgMNCJKOL1u/6eZuWuax11Vdx1TcHD1rmPiK6LAoOBTkQRL77fgDzl4jIeNiGJWtWrPraodLdLANaLro0Cg4FORNqguI9O7uo2LM9Q6W7fBaBFdG0UGAx0ItImjuZ24+ywG1QO3yu6LgocBjqR9nUbAV696mOL6KICTQf3/LYWF6HqswVVousKYxKANaKLoMBhoBNp3y7XB3aLGXUblmeILirQ0sZMqVHuulb3xUrNvU+/qfdYsLtdQxjoRNp3j/KAh+7XiJYzY25Wyogxbr0RktPB7zgAlYverOH8c+3jP3Yi7VsLRbe7VuljjB2uj63bCnXNJd+b/T2fVtRv3aA2IG676LoosBjoRNrXvVtVowPGYvP617s+tlvMqF7xoVF0XcKp/30/JrosCiwGOlF0cOtetRYXoXLRmzWiiwq0rLNn25ULzLRbylNF1xWmOP9cYxjoRNHBrXvVbjGjfusGzQ0YSzzmxIJuC8y0t7GF3p0EDojTHAY6UXR4vNsRjXa7K0nRMXzAo9oNn1WqDIhrFl0XBR4DnSg6rBNdQMhwxTg3teuWpKoMiCsWXRcFHgOdKDqwezVKOWzNarvOvSO6Lgo8BjoRaYpyxThStUJ0ARR4DHQi0hSd0eg+on9boa555w/lousKM3WiC6DAY6ATkabE5hRYXR/bLWZULfuAI93dcZyBBjHQiUhTss69tL37XHRzuui6iIKNgU4UpazFRahZ80ml6DoCLXHwCQXKNd0btm40tJn3a+69ErlioBNFD7d1zu0WM2pWLc4RXVQwxCSl2pTvteyNf5pE1xVGCgEMFl0EBRYDnSh6/Fd5QHI6NTkkvN/1dzcqu93t9TVJousKI6MBbANDXVMY6ETR4xrRBYRK/KED85RLwEbLyniualYvtqisEtcpCcAHomukwGGgE0WPnaILCCWDKbHV9bFWxwz0pGbNJ1kqq8S5Gg4g3svTUZhjoBORJiUeN7zC9bHdYkbtuqWa25CmJ5LD6c13/OcAjhZdK/UdA52INCn3omtylPfR67duNLaW7o2qVroXxgP4BcBWAOcD4ODBCMVAJyJN0sfFmzLGn+O2q5jdYkb5vBdjRdcWhvQATgOwBPJWuwz2CMRAJyLNKrjmDmu30e5V5ami6xKl/+DBOOftRR39B3sc3K6D3P0+H8ANYKhHFAY6UXRxuj6wFhehtWxfhb8nC3cJhx+dr1xkxsv7ypp03J/uRO3Yi2NOeHuFc+D5s2BITvP00kQATwPYBHl2RD6YF2GPf0FE0aXa9YHdYob5zacSRRcVTLoYY7eLmMpFb9aIrkuk+pyB+txnFmLiW4ucU198Cx5a7AYAIwC8AWALgIsBJIiunTxjoBNFl27zjjvqazW94ErG+HNqXLvd7RYz6rduiKrR7p40DZuit067Bsct2OQYeMEsyUOLXQ/gcACvAzhTdM3kGQOdKLq8DMVOWw3bNuu0PPI76+xZOVxkpmfW5FxD7tMLdZPe+cTZw/31FACfAlgDYJDomqk7BjpRdNkLoMr1gN1ihvmtpzn4idA4dIK+l9a6DsAUyFPcLgQHzYUVBjpRdHFCpdu9Zt3SpI4ma53o4ki8ztb6lHU72ntoracDmAfgWjDUwwYDnSj6vAXFaHe7xazbMe3YRIY6dWrIHBA7+JNtzh5a60kAXgDQBOB/AE6GPJCOBGGgE0Wf3QC+Vx5sryiN3THt2OSmn7eXiy6QwoMtNkmf+/RC3cTX5qOXuevDAXwC4DDRNUczBjpR9OkA8A8Azcon2itKY3657pz80lcfbxJdJIWPplPOQi+tdQA4FEAxgOcAHAfAKLruaMNAJ4pOawH8HUCb8gm7xYzyD15O2n3XnHZ2wVOnztb6pLc+6mkkfCqAWwEUAXgJwBAAMaJrjxYMdKLoZAPwGoC/Hfj/buwWM6qW/id2x7RjExzNjfWii6Xw0Thssv64Dzc7pr30tuQh2HWQg/16AJsB3AcgS3Td0YCBThS9bABeBfAnAKVqL2ivKI3fPnWIiaFOrqxJ2YaGqVfrjluwydHLvfVMAA8B+AzAqQC4MU4QMdCJopsNwALIK4B9AMChfEF7RWns9qlDEhy2ZqvoYim8WJNzDYM+LXZO+/c7Ug9rw3fu5LYBwL/B++tBw0AnIjuAnyHvrnU3gFblC9orSuN+e/gvcaILpfDTYjTpG86cq8t9ZiEmz1vm6CHYEwFcB/n++gsABoP31wOKgU5EnTrvq98PlcFy9YVr4zj6nXpiPW6sIfeZhfBi4NxNAL4B8DzkqW7MogDgh0hErjpD/V4oQr1z9Hvp608y1KlHjcMm6wcv/sY58ILZPU1zSwbwFwD/BTAT3MmtzxjoRKTUAnlnrbsgz1nvYreYUT7vpaT9zz/Q6teZRdHrpL6fhHxhi0vW5z79oW7ygs87etl7PQfAQgC/QZ7Dfix4j90vXKaPiNR0APgBwAAAJ7o+4WxuRMu+PTE6wJo87PSIuK9ev+nztuZfdnTdr+2w1iFhwMDKhCMGa3rr2Jo1n0gtu3/q2lmu9fddyLvoameHwRiy3ebasg7RJ02ZiSGjTndIrS16q7kMUnu360Ed5KVkR0KedXE3gNMhLykb1XvX+4KBTkSedEBeIvY8yJtxdHE2N6J514+xScefXBHf77Bk0YX2Tqpp2FaY5Gxu7KpfF59gzJx0gaYHZXXUVtc3/bw9ofN9W6urMeT4wVLrESeGfPvYtpwBcrCfPrKnYO8UA+AoAJcBKAHwB+TBm9QDdrkTUU/2ApgB4Dso9lG3W8y6Xbddmmct3hL2a79nTLogV7knurO1RfNzovMuvTG92/u224XuBW89/gxD7jMLMfGtRT0NnOuUDnla5fXgrm69YqATUU+cALZD7v5cAJVQ33nLxXkVC1+vFV2o7+9MEhpsIROm4weahk3RD/n4a0cvc9gBOcifh7yrWwuAZQAGia4/HDHQicgbNgCPAyhTPmG3mHV/vPRwxu5757a1W8xVogulyNEUn2ronMM+5eP19qkvvtXbrm7xAM4B8Ijo2sMRA52IvLUL8vzhbhu22C1mVH3yXtz300/JrF65yCK6UIo8DQOHG63TrvFmVzc9gLMAWCH3GDVD/ncZL/o9iMZAJyJvdQBYA2AWgD1qL2ivLNP//vjtObvvndvWvPOHsL+3TuGna1e395b0tE68CfI89s7//xKA8aJrF03TIzyJKODsADZC7vb8J4CzoZgt09lary9cm58+7ixb/xvvb4w/5PBc0YVTZGk8YZxh8CfbnCcWLoHTbtdJkqSr3lWCglNOt3/7+P3G0pIS15cbADwAYJXoukVioBORrxyQpxJdDuBKAI9CXs7Tjd1ihuWjt0x1mz5PyJxyoXXAnU9IhsTkVB9/V+DIg8O6BsJZi4vQZt5fGVdwKC82wpQtNklvm3hF1+PYaUA1YBzyjyRn+bUX6x3umwAOF12vaOxyJyJ/NUJeJvZMANsgj4jvxm4x6yo+eDnl2ymDUyoWviFskZCY1Ay3JWvtFjPM7zwbEQvjkLumYZP1h004U3lY89MQe8NAJ6K+6IAc5udDbqlXe3qhPBr+H5m7br/MUbvhs8pQF9rvurttxpwC95pqLCmhroMC4+hJU5TT8XQAjhZdl0gMdCLqKyeAcsiBPh7Am5Bb793YLWZUf7bAsOfvN+buvvMKe9MP20I2cC6+/2G5KSPGuIWAJEXJXPTo8QaieAEaBjoRBYodwI8A/gxgFIAPobINK3Bg4NyyD4y/3HhB/h8vPWwTVnG0LC6jQY6c/mpT28YAuAFRGuoMdCIKNDvkjV3mApgKoBDyQLruL7SYUbHwddPuO6+wO5obG0JdqLW4CPVb1nN6XQRqGjZF7T66HvICSFEZ6gx0IgqWNgBfAjgX8mj4X6BYOhY42FqXB80FdwlZnd7gNnDPbjGjasn7WaI/KPLPoDsfUVsPPh7AU5AHbB6FKNqEjIFORMEkAWiA3P0+DsCtAMxqL+xcQnbnLbOw58E/NbaW7g34wLnsC66oUg6Mc3bYOX03QtXnHaU/9rFXHSpd7zEAroA8vXIzomTtdwY6EYWCE4AFwL8BjADwMuQR8m7sFjNqVn2EygWvJv8wa1Tubw/9udFeV13t4+/yKH3s1Dzl7mO8jx7ZGk8YZzjy4jkdHpaK1UPeWOgt0XWGAgOdiELJCbmFfheAOyHvoKXKbjGjYv4ryd+dOzSjZs0nAWut6wx6t253a3ERWvburhD9wZD/Mu99IWbSO5/0tB3r6aJrDAUGOhGJ0AJ5etuVAHZC5d56p/bKMv1vD9+Su/OWWSif91J9X3+xMTPH6vrYbjGj/L1/JYr+QKhvGodO0B///lqHh61YIzHrEgCcB+BnyINKJcgXxFsBqF658N4REYliA/Ap5PW3zwTwGOQvqm5fvp1d8dbiojTr/4rc9vjWxxg7ci66pjr11HH53vzS/Dm3tFavWgy75eCtfHt9TZLoD4P6riHjEEPuMwuBO2djz7JFosvx1SAAzwKYgoPZrLwdpANwGoB3oNLrEIlXLUSkLS0AlgI4EcBxkL+sVOemdwZ7zcpFus4/Vcs+MO66/bI8b0fIxx86MC915AS3aXTWbYU67g6nHUdNnCy6BF8YARwP+b+Bsw481qF7mLs6DSqtdAY6EYWLDshT2/4EucX+X/TQFe+qc4T8rtsvc1iWzKvq7fWx2Xn1ip9H1afvc113CqV4ANMAbAGwHXJAeztAUwf5wtcNA52Iwk0bgCLIi9LcDHl0fK86l5Xd98x92bvvvqrd0ey+FZer7POvaFNOX2uvLEsX/cYpagwGUAzgc8izPvyZK3+K8gDvoRNRuKqHPL3tHQATIO93PQxylyTgoTVzYLGY2Pot62JTRoyR9DFGhz7e1N5hrTeljZpUkzvruszEwScUpJ4y1lm9YmFXo6Zh22ZdxcLXa/Nm35Ah+o1TWEsAMBnAk5Dvewe8YTzAZMKYfvIFpx46SaeDc1NpmWGfze1OVLeLAAY6EYW7FgArD/xxdTrksD8aKuFut5hRs3KRDvL3XAwAWIuLMlt+32U/7N6njfGHHlkFINf19davN6Xnzb5B9Pul8DUIwOsAxsL77nGfHGYySTMGD3LGJSR0BrYOgGGMJGHf7l+VL0+A/N8HAAY6EUWubQAuAnANgNlwCWdP7BYzqj5bYNTFxFRJHfbXADzo+rzkdGp+kRnuMNcjI+Tu8KsBzASQj+4t8KAF+YRD+nfkJCfr9XFx3nbB1wNYDeBuADt5D52IIlXnJjC3AjgcwG3wMDre7YcsZpS9/mS2+e1nLxX9BkJBH2N0G9H/4yvPINlW4/D3fBFMcvnzP8jB7TowrRXy+I3vIP+b6g+5W1un+BOU2qYcekhbXlaW0YcwB4BYyHPV1wMYxBY6EWlBC+Su0D0A7sfBe+09fQEfJbroUEgff05t/daNOZ3z7ktLSnD85mV6TL1adGkiDYc8o6JPCvKyMHrkUK9fX7R1B8wVqisZ69bs/yP+goQEKdFkUv03m5uc7BhgMinvo3fqD+ApBjoRaUULgM8O/AHke+vPQp4CZ/TmBNbiItRu/KwiY8K5eaLfTKBknT0rp2bNp6hZ9VHXMa13u+/esC4o5802mTA0Nwc7Ki0wpphw3dzpLQ/df32Ctz+/cPEayx33PZ+jFur7bDYs3blLN3PwIIfL/fMucQkJhgsGHS0t3blL5yHUp0bNtnJEFHVqIO/y9gyAWgCjIXdReuRsboQ+wWTImHieVxcAkaJmzSdSy+6fukL8yGnnoe2oYaLLCoqkb9c6t7/wpE5qb+3zuQrysjBt8uk47tiBUlpLO84fcJiuf3o6hmak48JLppnvuOcan2ZEHDfkyMSUlMQakyk+oa7Oqmtscg/mBrsdA5OS9KmJ6isRxxqNusHpaY6BSYn6htZWNNjtrk8bGOhEpHUdkO+Lfg+5qzUdPXTFJxw+KCZz6kxNtWDrN33e1vzLjq4e2dbfdyH34mudHfoYTb3PBHuzs+Sm6foGc2nXsYK8LFw++6zGIwYUxNXVW6EMUdfXdYb38cceKU0ad0rDqy/cX3/91dOTZl4wSWfYub+prt4WBwD6mBjkGg0YOm2Uz4sRDR96jGnmBZN0/fvlWOLjYuOra+r1rjU1tLZicFqqw2A0qo5xM8TE6FMTE5Fu0OP7WvfFEdnlTkTRwAZgCYA1kNfKfgtAptoLJe8Wp4soGZMvbKgrXBPveh996FfLna1jL9bUwOj4zZ+itKSk63FBXhb+fMPFTfffeXUyALz7n+XVq9d9laX2s6NPH1p/842z03Bw8Fua6/MNFTXJPT321awZU3JmzZiCS+be71y4eG3X38M+mw0VjY2GQxN67snPTUnpdk+dgU5E0cQGec3sbwHcB2AI5DnFmpYx8dzcqmUfuN1H72hu1Nz3v9Nud+txGD1yKO6/8+qujXfmXnFe1twrzvP042kiap55waSqzUXf5rreVy8sM2N6UrIzwZTg8YIrNj7eMKZfgdvcdE1dnREReWk/gJsAnAHlevFObQ8YiyY6l135wtWM8yfkXnHp2e0FeQc7DvbZbFiyc6fO2dbu0/RCBjoRRTu3L31rcRGqVyz0av14okB48h83x044Y4RbeO+12XTl1gafzsNAJ6Jo973rA7vFjNqNn2X6ezIif9z2l8ssrq10ANhUWmboaG31upXOQCeiaPeI8oDkdPC7kUJq2NDB+ePGnOwW3gcGyHm8BaRT9C7xHy0RRbvVogsgAoDLZ0+rUrbSnZLkMadzkpOdA0ymrscMdCKKdjZAg3PVKOJMmzIqb8yok7z+txiXkGDo3GYVYKATEXUXBSPdf3zlGaSsehum9ian6FoiQVJGSnNPj8MBA52ISN65rYu1uAgVC1+v9fdkkaC0pASrb7kWJTNG6JNtddG4+5pPDLFGZ0+PwwEDnYgI2OH6wG4xw/r1pnTRRYVCaUkJdF9+ymXAexHoleKCgYFORKQ60t2p+W73Tj++8gwS7Lawa3H6TOf+V1a4Zbvu2x0l5YE49ajp42v1LpuhxMTGdIh+u0oMdCIiYIPoAkQqLSlB7MZFkX8Bc+QJHYbktK6H5opqPP/y/OxAnHr4rKkZeXnpXbcmys21Mdvmr6wX/ZZdMdCJiOS91KOaFnokGgYONx428Uy3UeIbN22Lefc/y6v9PacrR4ej69aE02jE1uWb00S/Z1cMdCIiwo+vPANTW2PEd7sPuudJZ//Bg7semyuqsfHLbVExHoKBTkREKC0pQcnMU/SRfi+9Pusww3F/utPtmL2jIyhZV1VtRTh1uzPQiYhk3TdpWfWx1jdpcXvPpSUl2Hv/1RHf9a7ThWaXtXDrdmegExHJdrs+sFvMqNuwPEN0UQGjvpVom/LA3g1rdEnFa7lynopTzx5V7zrSPdww0ImIZHcrDzg77JqZn51y8ph6Y06B8nAMALc9Oh2N9djz4TsR20qP72hx/vDy00Gp/9Q556VlZ6W4HauqtqLo9Y8bRb9vgIFORNRpLQC3+8fWbYU6Z2tLk+jCAiH/8j+npwwfrTxsAPCg8uDejWtQedclUmp9WUStIJdm2ePcdeEwfWlJidtxnS541ydOoxFrPtqY/N3SjTWi3z8DnYhI1gLAraVlt5hRPu+letGFBYrOoFcOeNMBGACg1fWgo7Eee5Yu1P1wxSRD6up3pOTmmrAP9rSyn53fX3NOtzAvyMvClAmnBSxsR0w9rUHZ7e40GlG4aJ3wkfQMdCKig7YrDzT/sr3AnxOFI2NWnlXl8EUACqGy41xpSQlW3XyN7qfZow1p5bvCdvR7an2Z4/sbZ6iG+dVXnt8694rzsvw8dTcj516YOv7s01q6hbrTKTxPhRdARBRGFkLR7d7wzWZ9xYLX6kQXFgj5V/ylVeU+ej8Ar0K+mFEdDFdaUoLvrz9fn2wLz5b6rkfvMKiF+XVzp7c88sBN8YH+fRNuvzJBeS89HDDQiYgO+hzAHtcDdosZ1m++TBNdWCDEHzowT+U+ug7A9QDOO/C/xQC6BXdpSQl+mjXakNJYGVahnvz9JsfejWvcjhXkZeGlZ++ufOj+6xOC9XuVd+Wrqq3434ef9/nCT+rD1r0MdCKig8wAHlAe1MKyqJ30sbFq864mAbAAeAvAWAAzAOxUvqi0pAQ/XjrOkLLqbaSueVcSvQhNWvVex09/u8ngaKzvOlaQl4Xbb7ncOv28CbnB/N2nnjvGbQqb02jEV0u/7NN99Bde+bC+aOsOt2N6eD+nnoFORHSQA8BnoosIpuwL5lR7mL42HHLD0wZgGYBhUAyWAw7uo77qL1frdk4fLnRluZ1P3tutq33iuFPa77j58qD3h59y+TmqU9hWP/q63xPVv/r6uzRzxcFl5weYTMhJSfb682WgExG5a4HKqnFt5v2VogsLhLTRk/NTR4xVa/W9ACDH5bENQElP5yotKcHO6cP1pvamkId6UvFaSdnV3q8gu+OV5+8N2UY7er37rAGn0YgtX+wwbnlzsdXXc/3w06/lytb52H4FiI2P97gWgtTe7iwsMx+sJ1RvnIgoglS5PrBbzDC/82yc6KICJbbgULVpXKcAWA3gaJdjj0Glle6qtKQEJTNG6EM5Zz21rtTx80N/1Sm72pcver4qKcmUGqo6Jsw9p05tCtu367f53EPwzrxlCa6tcwCI1evbe/oZc0ODtM9m63rMQCci6m6e8oC9xhJ+w5r91P+m+w2xuf3UWtUnAnjO5fFKALMB7IDcYrepna+0pAQ/XDHJkFqzLyShvuvxO92mqBXkZeGm6y5qHjZ0cH6IPkIAwJApozKn3zS9Vhnq/qybW2GpcbsQGWAyITs52WPrvL2lxbGptMzteQY6EVF3b0LxvSxJ/o8+DjcxyanpA+55qkblXroOwESXxy2Q76efBCDxwJ+taucsLSnBD1dNNaSZfwlq93vqnmL73g1r3P4uJpwxwvHA3dckhvhjBACcNHNyhtq99G8/WuP1iPePl6y3bC761u09jelXAH1cnMdAr2xs1Lu2zgEGOhGRmt9EFxBs2edeml1w5S2NKqHe262FqwF8DQ8L0Xx/w/Tg3lP/9fsYZVf7bX+5TOiueMMnntyoHPG+ZckXad7+/PLPv8zoNhguuefBcFL3mXMMdCIiFR2iCwiFftffk6wyL703JQBGAjgSwF7lk6UlJYgrXBK8oiX364jRI4ci1F3tSqOuvyhZ2Ur3ZT653d7h1hIf068A8QkJHvO5taXFbTBcJwY6EVE00/u9d/heANMBfKd8wmm3h+z2hM7/+oNaR1W1FWufeLPd3/N54mxrd3xaslOn7G4HGOhEROQfJ+TlYk+HYmW5XevXama8gbdOP/+MbgvNFK7/Nra3e+nPvvSBtXDLdq8/r6pGq3Ovzab6egY6ERH1hQ1AueuBvRvXIHVPsd8LrESi4bOnpefmpHWbl77k9aXpO7/4plrtZzYVFpc/9+IHKcrpanqdzuP98zan0+jpOQY6ERH11ceuDxyN9cCv38eILirUpv/9etWtVde/uSRD7fVvz1uarQzzASYT8pKTVW8j2FtbHWr3zjsx0ImIqK/eVB7Q0vr33io45vD08689t9tiMxWV9fp/X3Kf88VZ92DtY2903Vdvb7O7XfQMMJkwfdAgZ4yH1eEqrFaD2r3zA1qj7gqKiIgCbjfk++hdQbR7wzrkTrtGdF0hd/IlZ6U3WWptG5ZvMTmNcu+402hEeV2zHgCqNm6P/bXkbx3l/bMbirbuyHT92bH9CpBg8jy63cPov1LIO+TtYqATEVFfdUBeLjev88DejWsw8Nu1zqZhU6KuJ3jcXy83ZQ48tKZw0ZpUnV4vmUurja7hXlbVGLPtu52ZyrnnuSkpbhdFXpqEAzvjMdCJiCgQ5gO4o/OBo7EePz/4V/2xi4ocjaZMX0PKa4Vbtutmzbm363FWVnrjvbdfZTukf25Qt0/tzfHnjM08/pyxAIDVj7xm37Lpu65Qh92OHZXua+GM6WUjlh50bXPLQCciokB4GS6BDsiLzBz35VIDgtj1bq6oxkdL1rseSl762RfJY0cPky6bNa3ynKlj8vw9d6BM/b8bjcBr9l0//m40xMQ41vy8s6XKZktyfY1Rp+9AHzOZgU5ERIGwD/ImLkNdD/74yjM4DoBO58MCMDodYpJTO+zHj5KsybmxvhZirqjGwsVrdZuLvs3911N3Wi66cFKOr+cItKn/d6Nxqvx/DUVz70/Er3u7njvQ3d7nQYQMdCIiCgQn5J3ZtgNI6DxYWlKC0luuBVTWHu+F0ZCchsMmnikdde2tDuug03zOK3NFte62e57NmjppZENycmLItlXtjaRYvlbeiCW2z7clom6wAhERBc1OyKEekOVYHY312LN0kW7dJdNiKu+cjZRVb+OHl5/26cKgrLxKP2TERQmNjc0Noj+cjo4OvPXekup1G/8blCl9DHQiIgqkdQA2I0ChDhwI9mWLsPqWa+G6D/oB7ZBHhh/h6XeWllliBw+bkXrFdf/Xsf6L/5ZDgI6ODjzx7Hu1N976ZFZtnTUov4OBTkREgdQC4HoAKwG0QQ5Zb//442fI3f2/Qw53VeaKanywcFXMldc/mP/P599vDPWHsue3UjzxzLsZDofbsvdIjolBbnKyw8/TumGgExFRoO0CcC6AeMg54+2fGAADANwE4CvIFwQ9aQLwD5fHW3srzFxRjRdf+TD50+UbK0P5gbw3fwVaWru/nUNSUhCXkNDr/fN29WVf3S4EOCiOiIjChQPAfgCvAXgLwNEArgFwCeRFa3SQW/IOyPfrHwCw1uXnbwTwIeSR9h7vU5srqvHRp+typp83oU/F2qzNqPjd7NVrF36wwglFI1oH4PCMdK9+3tLYqLZl6m7XBwx0IiJypQNggryLmkgdkLvT74BifnsPdgIYDXn1tHkAPI5sL9yyXff6O5/W3nD19Awvz+3m24/X4pPXlgBGo1evt9Q1dOsRT4qNxdEZ3v16pySp9ajf5/qAgU5EREo3AHgd4kPdHzYAywGcAnmxm7GQs06Cy7Kq5opqfLF5W/oNV0/v8WTb5q+s37p8c5ryeGVNo9dhDgDtju63ybPj45HgwzkUJLj3TjDQiYiimU5vcKL7+uGPQh5ktlR0fX2wC8Bkl8fnAVjm+oLCLdt1d1z/UNsgXYyjtb7RpHaSqmprmlMtdGN8i88OZ/ctzlOMMRJ8n5/vyu2Ci4FORBTF0sefXdvw303ZdovbvWATgIcR2YGutA5yq7YrQO1WG4y7y+P2xcV5/in/W9C96mcydQAI2C/gKHcioiiWfe6l2eljzmxVeWqI6NoCrAXAf10PDM3NgaGnMO+Bzm4HOjq8fn2CokWvAzA4KyugGcwWOhFRlDvsgX+11BWuiVe00oO2Q5pAcwEsBHAiAOyotGBYZqZXoa6325GdldL1+Igjj5Qm3HONzttR7puv/hu+2bOv6176sKwsxJlMAf2MGehERFEuJiklPWX4aNSs+kh0KcFWAmAkgAYAxiqbDZ/+/AtmHDsE+tjYbqHt6tSzJ9WfOue8NJdDOgA44sSjvPrF2YMOldp3/dbV3T8wJTngb46BTkREngyGHIJa0gJgNeSFb7DbZsPbP/2Mobk5OGzEMW2PvP2Ip+Z6Wl9+aWys+63yWEPgO0B4D52IiDx5E9ps+N0JoLrzQZXNhnW/78XKzdviFi/dYBFdnL8Y6ERE3nBKQdkhK1zo9Hq1tdRHAhgourYg2AXgaijWjzdXVGPx0vXZoovzFwOdiEid25e9tbgILb/tFLJTVyhknnWRxZhToDxsAPA3yNPYtGY9gB+UB6UIvnBjoBMRqatwfWC3mGF+/1+BH8kUJjKnTM9NGznBrvLULABniq4vCFoOvDfNYKATEan7WHmgdv3yRGdrS5PowoLlkL8+XKvSSo8F8Di02Uovgbz1apeirTuw6JO1Ab+PHoqWPwOdiEjd2wDcFlyxW8y6ysVv14guLFjiDzk8t2DurVaVUB8EYIro+oLEbccyc0U1Vqwu8m4LNC99vqaoomjrjqC/EQY6EZG6EgDfKg82/7wjR3RhwdTv2rtSUkaMUQ6Q00FeClaLI97vVR6w2+0BfZ/zF63ONldUux3TQyf5eTqPGOhEROrsAN5XHnTamuNFFxZsKSePqVdppQ+BvD+51qyBYgBkoDmcDresHWAyITcl2env+TxhoBMRebZKeUAK7nd/WMi//M/pKcNHKw8bAFwrurYgaAn1LxzTrwDG+PiAryzDQCci8syMILfewlVMemajyuE/Qd6GVIsD5CIeA52IyDOH6AJE6XftXTaVbvc4AO9BuwPkIhoDnYiIuok/5PDc1FPGqt3nTQfwFNhKDx27XSos67arW7eeIwY6ERGpyr5gjsWYU6B2y+FIAJNF1xctGhobbftsNuXhbushMNCJiHrm1kq1bivUOdtabf6eLJKknzEt74gH/12p0vWuA/AE2EoPCZvDqbYDXLcplQx0IqKeNbs+sFvMqPz4rSrRRYVK5pQL8/rfcG99lC02E1Y6JKfaiPgPlQcY6EREPevWEmr6sThPdFGhlD/n5jSVxWb0AB4BW+lBJ8k9IopDWK18nRZX/SEiCqT5AM6Ay5eqs7UlVnRRoZZ62vg667bCDLvFbXDWcQCKAFwKeWU9Tfh2R4nuimv/D/HxcRh01ACMOf0knHDckUhI6H1NocbGZmzesh2bCv+HH3/eg5raBuwvrQjGOu5lygMMdCKinq0E0AHA2HnAuq1Q17zzh/LEQcfniy4uVPJm35DR8PUXUs3KRcpwOgnyRc9oCFikJRh27/kDu/f84XbMl0QO0cIF3aZUssudiKhnlQBKXQ/YLWZUL59v9PN8ESv1tPF1KvfSATnUrwGQILrGYJF8+CMKA52IqGdOAF8oD7ZXlqWKLizU8mbfkJEz46o2D6PenwQHyQnFLnciot59DOBq1wPO9vaoa6EDwIDbH4uT2ts6qj77MEZxPz0R8r7py0TX2Ff5SUkY1b8/AGBLaSnKm5r8/vlO/pwHANpaWhyFZWblKPcOtdcy0ImIeveV6ALCyWH3PhNjr61ur1ryvnJw4DGQu90j9l56flISZh87BAkxcjwOSE1BbVOzT+fISEpEXEz3eF1c4vu4wcrGRoPKojLfqr2WgU5E1LvGvp9CW4548N8t9VvWxSpa6ToA1wN4E0CkLL5jgsuYt1H9+3eFOQDExcQgPy3s7q48rnaQ99CJiHoXlTuu9cSQmJSaOmKs2ufyKCLrXnok1dppndpBBjoREfkl5ZQz1FaQSwLwgOjafNBVa35SErITI2KdHNVbGgx0IiLvuLVGrcVFaDPvrxRdlEh5l96Ynnb6xHaVp4YCMPh4OlGGdv6fUf37Iz2+98VjQsXe2urwZpe1Tgx0IiLv1Lg+sFvMML/9bPh8+wtyxEMvq+2bbgBwuOjavBS2OVhhtaoNiOvw9PqwfSNERGHmPeUBe60lWXRRohkSk9M83Eu/D0AkXPB0DYjbUlqKprY20fV08dAU3+rp9Qx0IiLvvKY8IElSMNbojjgxGdlWlcNXABgvujZflDc1wezjFLVgaffc3X69p59hoBMReWcvONpdVcE1d7SodLsbwT3T/WaxNupVutt/AbDT089wHjoRkXe6bYYBJ1voABDfb0Be3uwbbBULXzcp5qWfAOBGAK8iQhab2VJ6cNl+nU7uj5f/qP9VS5DgBCApLvX0B3628znX83rDCdV/Wz3OHmCgExF5T4LLPVdrcRGqVy6yZJ09K0d0YaIdcvPfTbY9Pyt3Y9MBeBjAHkTIkrDlTU1+regWAqp7oLtilzsRkfd+cH1gt5hR+8WKTNFFhYv0MWfWqHS9J0LeuCUcu94HiS5ATYf6/XOgl14OBjoRkff+oTwgddj5PXpAzoy5WWljpqgNEz8a4bki24uiC1BToX7/3NHbz/EfIhGR99aILiDcHf7ACzZjToFy8KAectd7uOyXbgJwHoDJogtR4+H++cbefo730ImIvGeD4j46uYtJSkk/5M//V/fHy4+kKwbIHQfgOsgbt4geIDcZwPtQ/D0W5GXh7Vf+XjFx3Cl5+/aXo/Cr7fh2RwmqquvglNQnOMQYDDikfy5GnnICTjn5WOz/owKFX23Hzt370NRkg06nQ/GOX7B7zx9eFXZguppylT0JwM29fvaCP1QiItKYvEtvTG/4ZpPaALknAPwGYIXgEh8G0G0LtbGjh0lTJ5+eBwBHDjwERw48BHOvOM+nExfkZ+O0U453OzZrzr1eB3ql1arW3b4dwK7efpZd7kREFHBpIyfWqgyQM0FeQU4EE4DzAeyAPJ3OTUFelnTlpecEfG3+x55+p7lo6w6vXy+p9/485s3PMtCJiCjgcmddl+lh45bTIA+SC5V4ANMAfAVgCYATlS8oyMvCc0/eXtXZOg+Uz9cUVbzyxkeJ5opqt+N66HxZoKjX6WoHz0tERBQEHjZu0QN4KgS/Ph7AOQBKAHwOOchVxz6MHT1MmjVjSsDXEpi/aHW2MswBIMGg93XBeJs3L2KgExFRUBgSk9NSR05Qm251ZpB/9dGQQ3w5gAE9vbAgLwsXT58clG1w9Qa9U+24LkhLCHNQHBERBVz1qo8tdRuWZzRs3ai2L3pcEH+1CcAbAMbCQ4u8IC8Lo0cORUxMjGP2zCnV5541NqBd7YuXbrB8/Om6nKKtO1Qz1i5JQcleBjoREfmkZvViS836ZZlSe7vB02usxUU5imlrruxBLG8KgDFQCfOCvCyMGXWSNHnCabXXzDk/E/K+7bmB/OXzF62quvuBF3IOdLV3q2GAyYSMpKSg9I4z0ImIyGvm916oL3vzqZ7C2htrg1jiQ1DcTu5skZ8y4jjrHTdfngIgaMv1Ll/5pep9c0AO8wsHHe00xserXgg529rV5qCrdturYaATEZFXmn/ZUV725lP5fQzzMgB3BKnEBABuk8AL8rIw94rz2h79+5/iAKQE8/N54JFXW4u27ohXe64zzE0mk8fWuaXR6txnsykDvcLb389AJyIir5jffjbbzzCXALQDWAc5zHtdJMVPU6BonY8eORQHwjxgFi5eY1m6YlO2pNg+t2jrjni11vkAkwkXHzPY4all3qnd6TSq/Tpv62KgExFRr8xvP2ut37rRlxauBOAXyHt4r0Zolnv9u/LAgZHmAbtn/cAjr7a+O29ZjqdudaUBJhNmDh7Ua5j34DVvX8hAJyKiHpV/8HJd2TvPpau0zisBjATwu+gaD+jW3T5p/Kl1CNA980WfrLX4EuYAMKZfAeISEvwNc8CHz5bz0ImIyKO6L1dVlL76uFqY2wHcCmCf6BpduDVSR48cigOj2QNi6YpN2b6EeYD0um1qJwY6ERF5VLV0nqcR7R8BWAYfRmGHmk7v0xKrvXI6nGG9yx4DnYiIPJIcTrWcaAXwIcRvg+pqEIK4re3ipRssHjZZGXzg93b+EYaBTkREqtrK/6i0FhepPRUPeQvScPJCME++bMWmTJXu9t0Adop+450Y6EREpOqPFx5M7WGa2jDR9SmMUx4w6A0BuR2w4KPVVRu/3KY2sO1O0W/aFQOdiIi6qVjwWl1d4Zr4vp8pZGKVB5KSElr7etL5i1ZV3fW3f6kNhuuAPK8+bDDQiYjITdVnC6r+ePmR9D6uCCfcilWFiYuXbrD05Ryfrdqc5WFkezHCawwBA52IiA6qXPRmzd4n7/J3RTiRuk3vMldU4693PZ3d2Njc4M8J33j305rCLdvVBro1AHhC9BtW4sIyRERRrmLhGzUNX2/MgFPSWYuLMiMwzAHgSwAToBhpbq6o1g0eNiN1zKiTpPFjR9TdcPX0DG9PuPHLbRkqrfNWAFchuBvM+IWBTkQUZVr/+L2y/D8vxdqrylMlh1PfU4gX5GVh5oWTGhYvWZ8qYFEVX/wZwEsAJqF7qGPRJ+t0hVu2Z3yxeZt05sSRNXOvOC8LkNdlX7lmS7rdbnfLQ8kp6Yq27lC2ziUAlwBYKvrNqgnrSfJERGHICZfvTmNOAQY+/FplxsRzA7qvdiDVb1lfXrXk/Sxnhz3mQCsc3rTCC/KycPWV57c+8sBN8bPm3IuPlqxXviQcM2Q6gPcBJPX0vkaPHAoAKNq6Az5cqPwCYDh6vnfutpjNAJMJ0wcNciaYEnq9xb3fYsEHu39VHvb6M2YLnYjIN+0AunbvslvMqPpsfk7GxHNF1wVAEd4ADgS4T1ueFuRlYcyok6SJ406pve6qC4O2d3iQrIa8IcwTkLdT7cZcUa12cdIb54Hz+jQQbp/Nhk937tR7G+p9wUAnIvLNegBnux6wbivUmd99vqFg7m2poS5GpfXt137lna1WvUEvnTFqWP2N185MR4A2NQkxG4A3AOwF8BSAIxGYAeBfQ75Y6M13AE50PdAZ6hcMOlpKNJmC1qvBQCci8s3tAE6DS9jZLWY0bv86FXN7/+Gq5fOr6jevTnd22PuyA5esDwEOHGyJG2NinOdMG1Mza8aUHMhdvOmh+SiDpgXyOvPLILfSJwJ4HMBx6LkLW23tdweAjQBugXyx0JvZAL6Fondgn82GpTt36cb0K/D4g4Vl3f4efVoYh4FOROSbXQCuBLDC9aC1uAg1qxdbMqfOzFH+gOWTd6vrC9dmSk6nzlpcJGxKmGsrPCc7w3rLTbNbBh7ePw+AAUBOX88fplog/11tADAVwKMAjsHBYHdA/ju9H/LIdW9CuyclAEYf+J35rk/ss9mwr/s98p749OJwHNBARBTuEiB/cR/qetCYU4CUEWPcW3k+DEILpM7w7txxzKA3OC+fPa1q2pRRef6cL4IGxYUDPYABAB4CcAX8+5wkyAP8lnr7A2yhExH5rgVyF+xS14N2ixk1KxcJCTnXAFeEd2c9BgB+hTn5zAngdwA3ATgCcovdFxKALfBxrjsDnYjIP2sB2AEY/fnhzvvXgShEJcAZ3uHBBuBaAM9Dnh/vTea2Q749cDt87P5noBMR+acFcqifBT+6VC+ffVb1Px+5JStAtTDAw9dOyP9Ggo6BTkTkv9sP/O8kqOz25aIDipb83n3mQIU5EQAGOhFRX+wCcI6Xrw1I9zqRJ9xtjYiISAMY6ERERBrAQCciEqBo6w4sXrrBIroO0g4GOhFRaPzm+sBcUY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" 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" 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t0Npud0F2PhSXmIJOND9CNC1MKBuSBRAPyfzHSSomH5iE1l5o74POfugbhElnWxUWxySsMYuUDvRBf4+9UQlHvkgmJkAB5LOMpkyHbH22zFeG0xYt/DiM9MNQm3X6gtElqKkoS6ZLKLAE4/KSKTPnTFj2cXP7o7vhtb/CY0/AjDNg5YegbCbkFsOsaZAfgaZR6GiH5s3w7v3QssWFvEGUpXsMwt8EXtj3TcwRlKgchHYi5N5z3IE9chiGB+3/eblQWAiX5OMtt7CKMZOTEJmASBwyxiEzbv2tgStNQuyTGR8l0TvExOFWettbGOroZ7RjlPjQMEzKF6RbPyEkN6rwWWiuAxBNrqL8Rj5B5mfQCqWv29Y5JCRtGvkEPeSvckugcAbkVUB6nvVv+r3eSztfgcTIIOl9XeT2HCM+3s5Qsp9EfMRGgwaal+kKQmNpi34n6OZ4zvzDn0HLHvivX0L1WjjpGqiuh7JpML8EsjzYPw5Hj0HDenjvD9B5wGXV7w97rR/xlvu+AccD96LalWC5IA3y9yThpT7o64OhUYiWQWYG1EfxzsnGk08OQ1kYqn0Ltsgian3HJ5OM9o4yuL+NoW17SLy3lcmmRuK9/SQmkxBReJtmQ+XsHMjMsf4mM9s+tYASkMLZIJRWXmISSmlNzKKqMm097fbZ12mFZWopYRAyXFhjcxWVWFXZUzAhLUqEiYz7lA3HKJWpHeuh2e+gL9mKP9bhTNqwg4Fk1pzmGDj+OET09W9DxvHff+u7ULISTv4wzFwKM2bBQl0/sGsSGhph5xOw5WEb7RkoJgh1gyjLaopXd9/jfk9nN/GcEryzTmX+olIGPdinf9Nm0DeHk9A2AM0D1hHnpBmIiyUeWdNgTg6kedAL9MpM98SY2NuKv3En3tYt0HiQ5ICKPYpSlDC6IpgpUjnYRJGXNEKOWULIyLIC0lNZeCAsCUyCEsxuEtCwdcaKvHo7ofOYzVG6WmHEOX8VtlTNkwnLq7S+JZoDfiZZkxHKJyNkx5IkidMZHqcnMoQf74bhVhhqgf4Oa9bGh2yIrYWJj8J1N8PpS+DfPguZdXDKR2xxbN4sWCIYB9gyCdt3w5ZHrFBkcgNUecp/BGYrgcdZn/cprcU7aTn1l6zitvpc40d+AmyYhNFOF77vm4TGcagTROGZDUIdZM+G3AgIX02MJfE3thB58iVCm9/E72onkfDwvZB5TtVYBTimCiMV8Z0CH5VrRPGMBmXhG63Js4iqwklFa1l5TlhOQBKMyrXtzdByCI4dgq52a+KCZDNH0U815FTgRYrJS2RTkcgkGk5jNBqhM91nOFPaK6eu4KHfohi9Ryz0oYBgWOZxAM7/GHzhY/DxfwK/GtZ+DBafbmGbhSEbqGycgHc3wTt/gANy6GMuUHA1faMpgUCEZb0+5FOTQUZ5hKsz4MPAXGA78BsfNiehT8rUpJDUx6vy8KUK8hszIV8WAOjRe756iLSf/pjw4QPEvQjxUBTfGNugYqriSQChp4SrU5VJpy0BriXTZPyBh+e0xxfbIycfcgohrxjy5Se0yCXW7Mm0Ke9QVNZ8CJr2wFGVcMVOcTCNoqDMUrzMKnLDlVSEiwlnFjCQnUVXbhqx7IhFLvTx8iEKAiQYCaP7AHQ0WF+w5CT44b/BdZ+AkQI49eOwch2sKcWrw67TW2Pw+np4Rw59Wwq5wplA4/NOPD0O+r6XDyElyCE4B7jCVdifO/79DkVbwFFXjjY3JQkpFFPJJFjtbvAf2Un6A3cQ6m8nFsrE98IkPW8KEbGlXIcJGVPlahxGAAEMn1JBDLTFCMwhwPonA5nk2nwmN99qTFGFDTVLqyA3y9rovgFoaoSD22H/dujuOFFP18YIpxOKFJAVLSMtq5KxwnLGi0rw82Qis6zplAk1tXshC2Mw0gM9h6B5C+R48IPPwze+DvtH4bR/gbVnwGnZeDXgtwLrh+DlJ2Hjg9B1yCEVMnsu9zEgowM+ozl4NPi+J38goURgbRr8awhKga2Aglcl5T+TFgSLL4FKLYLHAPgbBKVMENr9Gmnv/JlkTwdxrEAsEcGZLLOwjg8l6CPgb5nFD2B4V4+f+p37W2rNRKZMWpKr6EllY/GeymDabJg+CyoEWShDHoemVtizDXZttMmqoiaj4sH+EMQjn1VkI7LCSiiosDmUTKSgD2meggSFxmKTiOAw2QZf/gD8+i544RCc+Sk4aw3eKREoAf8Q8EI3vPAQbHncOnQD2aSgzIJXxFgx4XkOntfm+0ZjFBFkw5xMuNWDpfLl9lcGsf9EIJAUOZhvFTBsA14ct86uwMNr20F4zyskmxtIKgoy9WmZK8fTMaYjKNumCCE1wTOgpBOYsVyBBjkNk0CKlPGLCxW2znJoCIrLYHodzF0IM5WIRkER3eFe2LEDNr8GRw5Y0zFVqXQfpZ+VREoAqtkXTIeiGVBUYzVQPszUzBV6K//phGtr4MnH4bGdcNa1cG493nLPxPv+XuDZFnjhftj5vHPoTiCKFiX84mmQpXuwQYDndfi+iVX1VFKYgE+H4RNhG74q93vguGDk5FXYlbX6u4cCmSdjsKUD4hOQkwFFsmVD0Cmqyy5oOwL9vTAmVFfxthbaUYGCWoihBgWakMpwTNWawO+4oFzFqmkzbc4i9LhJJIU4lJTDjLlQtwgWzoEaXY8PjcOwZSe8/jw0HTxRGzFv50yoysMBA1KRXFYJ5M+A8jr7lOZkyIw5+tHF6TbPePIYLF8Eq3Pwat1Glb1/phFe+g3sfd1WMbXppNlls2xWr6hRoKsS0MlJPG/C9xlN4reNwdEevNZOaovTuPrkOVxammVymxtdLimt+bPKIKkSkUBej8HOXugRK1Aop+D5LMjPtlIc74V+5QguV1BCJ83Raw1E4TAj50osw1Eyc0FAqikz2hIsXsSap8JS+x4tjdaZS7gFBfZvC5bBqoV483PN2/r7x+C1LbbK2HrY+Qf3flNUMgneCd0T3JcO2WX4pQtg+kqo0mcq6/VhtYeX4+NvEs4XwZvufKvAAwnkqX3w8q+hcbsFO4sqoVLRULkFXfUwwlDgMI7How0+7+2ArZvgaAMMdOFlpFNy6ZV8+OZrKajN517gI0DNcUW6Q64iRSDC2aLdSWItSZLNMTg2ZAkHg5KU1Eq7THmAaiVCe+XMXN1dcb3s8cggDPbbkFVPmR5l3UGtwlT6ZOfd7k01XzJR1bNs6VQJ4qH9th6iR1YWzKiFxavgtKV4y3Ktid0xCi+/A+ufhp4Ox5R0jFrDhDnhXzzft8GZfpVZQLJyGcw/ExbVQnXIRFMmwBk47mjznBnRZhKcpErBs4fgjUdtwiqwUViecipj+lQNDYBNKxSPGet8uo5YnEg23lT8wni5OUy7/bskbriUBWH4J2eu/giovKKNoGvoGIgR/dMm/MEJkmUVhLNyiUfyLDuyf8Kit6Ln6IMVWajMm6HET4JSjiF8TMmiq2vHRokM9JOniKi9mfH2VmIDPcRkkkxpNZV0LSpZOsyQKRE4FrNcXJHXApJEehrU1MLKU+Cs5XiLVdEDf+uQpYm++pwNk7WIEUfW9pJ4ChLSM/Eys1Go7YfT8EJhfOFUM9fAwvmwMIw3zTFw5YNTip4GSBbssXMMtjZYBFzEcmnbVEVVFkCQhtDgVug8orcQ+107UBiP/sFmv15+NqG7/4eSy9ZyvvVRLAbeU5nCUereFM2oM4b/vcfg3Y14ORmE03xCFVXEp83CL6rCV8FGEYwveozwIxEJxH118EEAhSjnULSUnkYoLURlRoS5iTiLR4fIGezhaFcLe9ubOdjbzujwAHHD0XWAYmm59SWy+UKEGxts5h5wsgTf186CNafD2YvwFmQafMjf1AOP/BW2v2MddTiEFwnh5eaTLKuCiuk2x1F9RZqu98+U2cmDmmxrnpRmafNJO1If+mztcSEleyZgf4/lewXCUP6hTdZzDNr2Q5vwwn4JpMQJxMEZijLCCSKXXkH0V9/ntKJM5P66fKgfnMRvG6YjL4Oe0kwmojZj9x/eD398GEZHLE1SRAktblaOzRNU3tVTCZ0gEdVI9DnSRsHjMkFCYyOZkLSbIxTOoTqZzi3JKNdm+4QiMTqiPs/4g/x1qIuGziP0dLYx2duJL0i+ZJo1B/I3MkMtB22hLOBSKSqbU2fzhIvm49VETaLrv3QYHv0TXksTXnoGfnklfs1sm9OoTp+vUFhYm2ocIZSzTeVgulRVi4cgXGyx1//z0Pq0uWROEZEpM4hO2gGtB+FYg9WOUcvQ8aDUCcSR2cJhQqV5RH99NwsuOoVyD15SLtk3iXfvX/FeeZ1k3TL8j1yBt0LlUvB3jsO9z0LDLhjohJ5mx6MN4nx9dax2k3GHLTtE0ZHBruQglQdk4WXk4mfmm8pbKK2Ieoq4KZbNxUSI5uTzZkkGD5eF2ZMVp50Jxkb6iHd3Qf+ABQ7FUhkYsAIRydrAJo5alJGBt2Ah/vnn4J0twDGE3yz24juEX3kWv6AUv7YeXyXkMoWkeVAUgUILcpsc4P2mSUoqgeRAPMh7368pcqcyX0dl40fhWDM0N2BcxVCfLWCJaTk2qEstc95MApH/SJB13UfJ/u9vc2V2Bs+OwFHF1K8cIHLrrSR6e/GF+X/wOrjiFLy5YnOD/1QLPPY0dDZB636HTLqIKMjEg2jJUHxTaKQBnyvg9woilwYZE5FDdkYBNWklZGUU0VpQQm9xGbH8PJIFWVCQATnyfa5pR9zxvgk42g4NO2yFcXDAmgeFlTk5hE46mcTFZ+KtKbRU2INjeK/sxR8IQWUNlDpBSBuybdXYpAX66mpdf6cJ0oBC9/d/pCWCrQQ9bY3D3oNwdK/lbCnrH+7DG+zFFyliuCcQyIlmmui0UvIe+DWLT1/GROMEG0fD+FXHuxbufIjwI78mrlAtoxTmroQrr8E7q8qk9YYAcf8mePtVOLrDSj0ADYMya5BzyF8E6G4Q8xvwMehPCdjyTmslINlekxcI1sizZIYcR6pQfaZIMHsG5Er79H8+jI1D7wD09NkiUacKUv14Ofn4K1fD+bPxZog9D76qcTu1N8M2+dLlKL7XU/5AAinF5hgSVCprqREyyiGmwts/EogcvLL27Uk41AWdRwl1HqP0WCvVHccIDXTSNtZHuz+kty137PcIXjhJ4U2fpujHt7BgeJznH2tg4oKF0DtG6NbvQsMWkg6YI7cCVp8FHzwTb6VwH/DfHITfPw2bn4cRtXE5Hu9U8pfCdjcCUVSj3ynKUkisOoWCC+UhjqlihBH8PWK/l0YZ5ygfZNFgIyj5K0EdwqJKc6BcAnJ5wbBKwjFbYu4dsjWWRWV4S4Uq20TLV/goeGLUhx4x2CWMiC00CT+qAmaCV+40JVj8VkgvhJhc4D8SiFxZ4/HcoUERUQI6eylo6+b0YwOcNDJCZHKU3eMjvBwaCTTEtg9k1FZT/NDvWL5iDvt++zQHe3PwbjwL/8lthH76HfzRQXwtSFYpZFdAURWcfSGsm4e3KAw9Pv4je+Ghe6zpCnpAdJHB9wHsPqUlWmyZSjFTlAHrqe9TBGL+Hggj5ateI38UBAjySaaYJTOWB9WVUJ5lheK4yJabpz14nMFRGsKbkwKSKjB7MwG7FMEJwFRCKIzMRVHKNxRN5YEnE6WfpUnddm8k8/4Pc90KWoDgfheeKlcYijO9Z5LzusZYMD5BODbBwckJXokYp15pfIgX8Si5+fPM+d4XKdp5gOe/dS/xm76At6oG/86H8B7/Nb7UWQuZIebIDIhmQ+0cOO0MOLMarzKM/+4I3HO/ZaFPaYbTlKAXJBCO0Q5pRiAM970iLvN7Jyx9lUBEHTLaIg3R0/3OUIpU9pUwpDki6UUsJlVeBkWZFpkOhCJrqrxHZmiuZ82QnLVMU5uybtUcHAAacHz1emm0XpfpGWjcCFNMnxEIq+5U7SjMgZZIXTrB3+1Dq281btyH0QQ1PXHO655k3sQkXjzG/niM19JjgUA8chbNpeLB/2XttFJe/OK3aOs8boZ++DWYVIkfSeZuAAAgAElEQVTye7DzHRuLa4dHRduZDemi30dg3jw44xS8s8tt7P3X3fDg3dB1zP7dQCKu7KodHdTHjWD0dyGp0gwtpiqBSp7cz0YLnAkzgnAmy2iYi9yieo20Q2hAlr0++RsTVmdYhkh5uomqjLbILxyegJ5hqM6C1Zk2wdNuV9K4E1CgqPxCRAvDM1MkJEa/Cx7KC2BJnqkJyVxH+yBzOkguUw9p3NYkbGyBnl5r/hKeqW+XDPis6/VZFvPxE0l2kOS1HNOwU+lHMkNM//43mffZf2Howcd5+7afkLz8K/DFK+HNffDDb1oigcJT2XaZiMJZGD+iuoK4DosX4l92Ft7SbPwDk/DgC/D8wxZQM1FUSsuyCk6m09azBSzTceUEoHq3EYgW3mnJVLt00BgqrCnFsRozKGeuqCzX9SGK/uMEq88SIFiWC7UFUBGG/iTsUi2+G5ZV452Wb02TTMy7cdgmP6NEOQzZUUgPQf8YHFE1ssGyaZavgXnZeLMcWF5sUhu7AU2gALw5AW+/AY0bbWgrpCERJjzuUTEUYs5kmIgfpjEtQnNB1Dr18nVrqH7gHpYMjPDYxz7FUH8EvnIHXLAU7n0cHvqFgxYCM+JBfo0VinahaJKKbi64Ai6Zh1fo4W/ohz89DFtesVlwauuaF8LzwvimVqKISgJzzMYpzUjRhr+rkwT7T+BS0OnkVkHaJGgi0A75HhNKOxaiavGzFsBJdVCm645DQwcMjMGZNXiL5KvAVzXuwYPQM2TrF6EEFOZBSZnttGreB7EIzFgCMwtMiVWgrconPbIQ8jO6pFbViRKwcTdsU//KRpt3COIRXSqeJKwqgO+RCIXwI2G8rIJZ/pxf3sXKC05n85e+wY6HnoDlH4Tbb7Og4A/ugC2v2WgmMBe6x+wyKFtgWR2qpKn4ftI5cOlZeCdFYVBZcDPeo7+Dpl34Qa0jFMHzQ5bVot+ZwlVK4ihDb8yUzJlMUuDEg6qiaxo1C32iUWrqe9NG7d4y6EPXdYsGJO1RNDazHlbOhvp0vEwfv0HX7xFenYGvzSQm6RPN8PQ7tnQ71GUJerkFFuktn20Z+TJbCrGrIaI4J9dn6LCPXxeySaSiK7VdbpqEnbth93NWKN1qjxg+QcSb6g/x8WZ98rP+4h9/n8zHn+Kx/7id2EQUrroZvvQJeG8/3Pkty7owzjLgSMlu5oCQz5wymwSqa2n6PDjvA3BKHl6VkqEEPLsT74U/GuDMDxr/p1hgLvcwzfjO7BiTGPgJF/IG3bbGzDnzN7XwASXdNYcGN2fI3m54gOg/gmsE5xhoKALFpbCsBu8UBSgefqtPVswjPBNGVCvaczwc+vZvbAlYXF9DwUlYqGfeOph/hq1K5qlvRQiUR1ZmkokNoySqs/FmHmeKSCjqhhAMvzdm30utHo1vQ+sOy/c1JVxtT1UJQ3hrG9v8Je3HePy6z9BxuAPKZsO//wjOXwH3PQSP/cqam+BGzAQG+YM0qFgCRQrMxbDogtxSWCpoehrUhvEqPfyGSXjhbbzXH8Uf7HYUoMBUBQscZO1B1OTyDBNluckOwZCBIGwOhBpoSsCqNxQbAYVRm0DqKScfCNnkN65ZR8jz/Blw5jS82nTy+3zKQh5HS1QQjOP/51Pw2FMuwRU5Lg2KZ8DsU+w6mSEBcagJwbJSiqs8hvbEmJwQ3OLZEFl7TvWK3cKzYpY71rYXmjbBkY3Q23CC6xtO4v1zR6d/+F+/yJuPr8dXFLDiQvjW7TbE+9F3YPe7bmelJGWGQSgYrA4qXV+GahuKcGYsg5ICG80sLIZpWbBrGF5+GW/Ts/hCYc3/B1Md9L6BeXKQiZl/ImE5n6VFDKK04Gtqfd2QEGSmXHOmNovwMM03kY+TMAJCtoHlXcvdqCCVIZg1G645g8wlBSxMwFAmtImHt7mF8Vv/B1/ZvggVhRVQPg8q51mnoepnfyckWuCakymYm8XoS41M9oRgWhnkKdILWU60CA+HEjCopqUBC8Kqi/ewtOU9wvF2zrvsErx//+ld/q9u+6npOjMUzqu/AjddB6+9C7+8zcLYJuFK6YoyRDclSFVQc7KFp8Uu181PW2Ad4dABqKqCM1ba6poqiq8+D9tfsdWxqcQv8BOpeUUwXsP1lAQCmQoMXIgVkCACnqWEYqAdER+y3CiOoOnUCSIufyHSdp+NesSCl6+Zs4DQdRez6OQy1qR7JmXJHUvw8P++zZHX9lq2vihIFfMt4VwPcYvbD0L3VvjiP5E1p4Tk/z7O+FstMGcRVDgEWtziyTB0xqFTxbegm6wXepugcQPzZwzyx1/ehpdbWOsP9cs+ClibDV++E1bMg5/fBS8+ZE2VifO1e11SZpyt7HM+1J5qiWe6KSVmeg/t1P0vQXIQTroATlkKWVHY2QGvPw1737HxfND2ZoIFx+UN0GCjCSkQivHpLjENwMpAS8zUCIHW6dZEmdDZDT8wiblYHm72iCAdU+xSY45r3NG1KN+aVU/ev17JDWtKucSz9Z/Hj47zjd9uo1MRlwRSVm/zHfWh97WZne61b8D/8c1ESqrJePRRhh95DeavsnibIfWVuDkoOTAmQrpyIXVZqTDVQVHvQX76+WVcN2eO+kMqfVM80k2u+RB8/TvQ0Ql33ALHDlo7aQTyvkxZr9cC1KyF8vk215CjL6m2Uc5eEQnegRnzYNWFcPIi+x7bW+Ctp+DwDlurMNCHE4hZcGeuTKdsMPkhiKycr5E5S2U7GvBSPiPXLpbRPpkxRXEak6S5IyJZDLjuKKctQSuxTKOuXZq+6iRWfWIp95SFWS5Y6zhP7tbn2/jFU1uIa6dnlVkitsBTMU/6mvFaXsf/wW2kFc4ko2E9g7feAXUnWw2R1op4oc4AYXWaBSOmidrwIrlE+4f4zLlZfG9lBXm/a5FApttqvm7mn2+DKy6DRx+BB39mK3KpwjC2PYiA3CJVLYea4ww+3ZDat8RpUrrb8BLsedG+fuYS28q8cr5d5B2NsPE5OLrPrrkoo6E0A82EjFkKm+8t/TQY8eG00hSzUpko+llMQ9FJXStbEPfKxiu8lFaYvnXXxqYITELTPaskq3ZmXbv5f4+sxaXcfmERX8j0DO7Y2DXJdT94hrebu6Bgmv0srbRaGNob8Jrfxr/tViKzV5IVPsjwNTeSzJhuzZauTU1Hop+qcCYGjgQk/1tezzmXncNvr19B5aZxXn5gGx6hGt+Ym5kr4Cs/hdwc+Nk37OAWmRFlqqm4kfk+sPEK92bD7LMsFC4yc5Fw6GFrsnY+Z6lBwpRmLYPVF8CKOrtbdhzE2/A0ofZG/EiUZDSC50UIeWG8UIiEEUgYz3eCCTRnKklM0ZqgvCozZYSo6Q2OO6U+EOMnlOA5NryhoKoaWGpNnP7vfc5+2QXT+POpZcwROp+Ex19p4Ka719OVJ+pOlg0M5IeObYfWnfCVLxKes5bS2gF6LvsMsaFJmL3I+mWRNcbU69gLxxot+yYSofSCy/jez7/G5RN57PjVAb68Nk0aUuMbs3HBp+FTn4O3XoP7vm2Z41NgnsJe1xcY4EmBHxF5uf58KJ4JpbNA9W05zX0vwo5nLC9WiyimhYSy9kJYNseS17buJfzOM4R620i4HvcQEbyQR9wx5D1CJIMZWuZ3AWPehcwKOKYycxdsSANkUkYGbFZs0N9iOzxMDlnlZJk2CU9aZLi7qtipu0oM+ibSw5N89dar+Fp9sWEyjUwk+cqDe7nvpQbi2ZomN2nHZ6gRRyRsMeCXfID8uhij//Z1Ym/tgKo5Vnh6aJiA2rXbj5gBApHZ0zn/V//JZYuXEXvgGC8wzouTnU4g4grd9FNYuBDu/h5seMo61EATTFNloCnuq4l8xH7Igbnnw7RlduKNumb7+2H3i7D9SduNGgwIUJY8dxWsu8Q0j5oWtk07SNv4LKGhfpLRqFl8aUkyHDZzDQS3+Yan5Ry6GWYWtDAo4BDCm9LUo50uG29IaWpvq7RZtULWbDl8aYPyMHVkjdg+do1RUo4kqqcqd9rNw0PMOP90HvzaFazNsYTxA/0xPnrve7y345g1tf3NcGybmB7w7zfCvIvJXxEhcfd9DN/9CJTU2JRBm0gbQ+/beRhyJvF+/H1mX3ohZW+PcejJBiKrPTrv3+hM1tIL4KbvWgr/r26xHKKg02jKVKQ41FRBybHPXAdzz4Aa0TeLoHsIdrxo+awBuBiUbAXKLTgVzr0Q6kqgZwLvjXfIeO8lvNgkcfkTI4AQcQM+eiRNJTHITYKpc9LYIPN2obPJQxQ5pdkkVb2NMqHiZ+maFVWJs6VGTEVIvUehu8VicaaP3vWqa/EmxgnF41zzH9dx14dWURryTC79eOcIN//8LVr3NMNQM3TstxMbvv5pmHE6WYtzyDmwh86bvg5+gUXIjQnViME+CB+nxH/7ZrwrP0R6b4jIr3aTMz/EcNNehucuxCNjns81X7cdtI/+Al6+343bM2PeThSWUiFz038eZOzCck6ChRdD3QqYVwBdo/Dui7D5UWsGTCAQwOURQrmF+KvOxr/wXKjOgaNDRJ9/jvR9m40zjxu8y4KPmiOWCHjBZhxgMADNsVYCJNnQiLJtQ07hNAsEaqiAtEmCUJipeShm6KT6PDoMqcAslMypCZM12EBJo8aBjMDoKNklRfzgzs/z2cUVJjdR/+zdhwb50U+epW/bmxbDGxvC+94X8bMWUDg9hwvmpNH833/kwDMbGBgdY2JM8EgMaorgsx/Du+QMY4H8Z9oo7Byh6uwS9o5AMj1fRLkP+Hz6JxZTue8WS00RSjo16zAow7reiqnxfAE3Fyipg6VXweLTYHE+dAtyfgk2Pgxj/Q4gDCaQWqcdKq4ieeal+OevgZwIbDtGxjN/IdrdRsyEvDbsNa0savgJ6u1BccrUTpwZU9STo9r+bKsRuS5DFqI6PAo9rdBxGHqOuDY1EcNdj58CF5ldvZd8j4IQCcOQxDV4YIz5p6/k3u98nIXFWfxN3DTJd0cXf/v23fTseY+0vDBp993BcNZMCicT3LQgg1UTk4x293OwvZ+BplbSIxGOrJrL89Vl9MkMH5gg9FobdReV052baWaoGbI1H/iRz8XXw/oH4elfnejNMzMOXf93AJVMTQQNNMclZLnVsOxqWCmHnQ+9k/CWmlT+aOP/Kf8TaIrq91HCM+aSuPwj+GtqYThB6Nk3yd6ghNI3WqJ5hzJb8iVJaYyJgoNiVci8R3Z6EeX59STLZ9FRlMuoWhCUJKo7V3fZdsB2Pwmu0KYz3bTB2L6kFYY0y8wDcI2g8itCsM2AmiShaBYXfPIqbvvkGu5IC/EscFYSZuxq45k772HO8jrabrqGfZGInYcZgUrPlN9RMVK1L5XhywT8Hm88e1AdEs91kl8apXpxIftUVRQQXazL+Orbvpnl9Ifb4PCuE/1/roA0Vd0zkHaQkKUUikwElQ+LPgSrr4SVJXYo2Fuvw1t/sKbBlFpTw2e7u8Pp6Xhrzib+4cugMBNvyxEy//YwaQP9JEIREoTVBmmEorpJ0uQgltAXimZSk1HDdTkLObWgmv05aTyYJWblOHG1OmuamxGEhl8GgtA9BL3nCoMFkxfYzF5Cku+Q4FSzMLRVh43llpKWW8T1nz2XsvMW8LNwyBQT1/hw0cAI7WkRfp+VbqqFAV/cDEeKQckkzAhDrSu2Si83jcPBjgSLy0KMpXkc8+GkMFxpON8/bvTZ+hI88UsbnQTA31T9Iqg7BPUILU4wb9epucLO+gtgzUfhpOk25t/wFrx6P/S2nkBaA8EYjqvC2xCR6pnE//l6/Lrp0NRL+hN/JrO5kWQojUkvYrTDOHdpiPncsKkIFuXP4/rMhXw5t5iSaIhDEwnuGO3hofEGRgYO2OGTwUCbgL1oWPYO6tY1KkIzs3bl8APt6LYmKxjfZAYRlBvEuDAznS99+YMcPLmGB928A5XVBeqKwyAjK1RkRDLXx7f4yNhGskLUlkB9MYyGbLughPclR2TRTAClzKLoety6yeev/20mANl5Uv+ogSa1wcZpiem/c8Ul5SvCtE66FtbMh/TjW2fju/DKb6Gr2UH3LhCI2mbOAA4PF5USvvITxBcswOvpJfrC46QfPkAilEaMKAnPRje+mSaneSZCXBdTVVTPZ/wcboh5FA2PsK37CN8Y3sWrfitxM3HaLX5QpFKsq0U3D9eSLM0WXBKEpQqDFWGaHnXXImF6GkusFsUTTC8v4IvfvIIX6kt40b2T4iiRUJYJaknAOw0xJg5M4msUid67IIfQLI/ldfD5KLzl2tCvcgMaZMY2iq5rXn3tb3yeuscOGQuaLI1SBCP4nDBMLuF+n9r9FAxXqVoBqz4Ga06CPA82qQfj19B2yEHgztyYOrVKrTbPCZVNJ+PCK/FmzCY00Evy9WcJt7UQ89JIoNDXtXSH0vEFW0xbBRUzyYymc2pfgotbekjr3M3To/tZH+pjzEx0CCYOOUL31CCZoOybcD0kpRYukdYocRN6q2cwwEz3G9RUzGb18YaHWLumlm987+PcmpWOmseCnn4ThgggeC8Gr7fbiE0h96wSvDVhE4lf50BLlds3uzKJyCgS5jVm1Zd93GffeykjvN0mCjJiozHORBmBueaWoDCkn3VFpfWw7MNw8jooSYPtO+GVey0hYMqHOEFIKMZsRfFmLiB6ytlES8oI9XWR3PiamcqgLl4pfBwfP5SBXzQXalZA5XTTvuANTpB1tJnclu2MjzQxlBwjkQrDGyEE0+JcTd004bi2CC10YdmJbH3URWNmmqmb9aj7NXUVZfUqticJDfdx0SfP4/obLyIRDvEfPjSltiGIx/BGDLa2WpaK/POqcrxTQoaKpOBaGhWMm5l1fLaANGXN8ARvbdqDR/4y30xEMMyPQAOcUAwu5GrfqRly0JsXtDjrBgpqYaGc+nkwLRf2HYD1v7K0UlMXd05dczYCOF89IvNWEl6wjIg4t53H8LZvMiYjjvUffiSTZOkC/NqVUKGuI7E/hqGp4UQZ1IxbdasS9IXIR7x/5lXAsZLp05Q3gYsGZtGslV7objshRHXdiv1i5qRoGUNmlvucRdO44gc38FJZHrcCYtB+V2R2JeSSf4MPL3XC0aO2M6pqJqwrx1uZMhLf+Z3zjvuNG1R36R/km9/9OW8+/iIe6XW+wYKCurbZ8W4GVdCpFFBCg6qbSRJTNEk3mlNBdNaHmDn/IrJmlnD4WBMDb90Nhzed6ImQUIy5cmxD7Z4FqwjVzCKsvpDWJkIH96F5BgIgk+l5JMqX4Av4LCu2H9jVC0d2QNsum/kae+Hq51PD0dyIPtsgcmJSnXHoooVW2IFrug/5C+UcnS22t8S8nZs6J6cvNECbcXKcjNoyLvjWv9C0dBpqjhI8f6sPrwzAvYLDND1hcx/sa4EudWal2TaJM2bgnSWaknX8mrb0z8fb+s8E1Hoe7h9k45e+yct/exmP7IW+1Q6XcxglSemQTY22ptjpwd9dsijzkFlEffklfGXmJVTOqeTXPS08teMeYipRpg4uC+B8OXY1bdYvg/JqvHCISMthoq1H7XDp9HwSFSvwNRSsTDNvk9DRAU2boX2fRQBSTUUgmGBwpoQh+s7UhGzXs6imzZJKu0nU36iKqBx5xzE7O2UKftG9ObhFnV6nLiXtxsvIqitnKKTcyL79Qh8uAR7dG2P/zjgcOAJHD1uIRrV8ESzOWYi3OtN09K3NgRuz4GzgnuOVh+87JuvJXb2EnpVAchapG8Zl5qkL7QQ01UKQGn0F6hG83ieUnsfV+edy19zLKJhfy2+72rllz28ZPPSaDRYCLEuCCKKs/EKYsxiKlDJ5hNoOk97RQiKjiFjFSnzNu5UwpPotR+DIZosdmeFjgTRc5OSUwZSPpyZhB/MVw5b+Iy6yoHcBjKbffNiCiqpRDLuhYgIdVY6WNleXw6krYN0qmD4DT7QoTVfQ7etjB8Drtf08dE7S//xB2HfI1j90vzLpqrXMmA5zS5i7JIuPzfRYGLGElK+ouSpQ8MY4+a3DgUBcHSHAq4zeBlM8U+Duvxt5cUIYem0kms2nck7njroPkb24ngd6url5/wMMaKy2HgHMoa+C2qUp4jnNXGCbIfEIdx4lbWCIiaqTSM46GcpLbC2hudEOkOzSYH0xBoIk1cU3+mJARTfLaoqBojKzuoHLrYlSR5fMjxlkpmH53dDeZIfW6H210MWqGmpc4QqonwsjWXBgCNSlPKcQ73INJHCUUzHlxSjR53eNw9ad0NHlDoxxwYPYniXqS5xGzqppTKsPGypblwduLpC1kpvG4PnDeOQu9qecVkCODnKR9+ckZh1czSHI3N3/hCIZnJNxCrfNuZr8lXXcNTbI7xseYWL7E65+nlLYUveUcheBejV1tm3MCxEaG8MPleOLZlNZaocaq+Hm0Nt2coISPT2Uk0w9UhsAjGTsAqneockOqmCqrm3wMaG5DgbXYEydnCCsrbQEli+ApYtg9nQYSIPmMWgahl4RqxQhZcHMUsL/fHzWYo5nznExJDhlc2NJGBiFo/uhS8J1M7UMP0AbLwfKSmFeNSzIIpQLvhIX15qvI3UG9iWY3Kz+kLwlvsWHUhiBU1U550/+kYAC4QRrE0mnLGc1p9V9hMhpdbwRH6N9y+P4mx615sGcYpBSUwk6UtXSrEmm2jb5cyB3JlQU2wjpyEE49BZ0HnLCSDm2wmyr4GcnCP1OzBdxOotr7PERphdcsMiYhdnHBkgb7yUzw2eirpLxhYugvBT60uCIWuH6oUdjZZWDuJKwae3OgJJ85v5TKTlFIbYrmX9Z5AjPju8YVGBw1CDElpQtnEzEDcdpK9M1FcGsQqgKWcZ91Ezg4MIEPH7IZ7hVxYbiFb6xuYaVGCAxKbnGlIMPnL2zjX/n4EVMy8QrXU105UfhjNnERibx33oGNjxobb4JfV1NRcII2OsKP1VAqlhq56cXZjv+rFh+b0L7ATeHNwhrA9UI0jFnrnT9RhDToaDcNZMqFI0RDo9RnAFl5RmsKs5iUWEpw/Es/jjoGTTW79AsLA0wmLADN81AaNfCbNqj1ZAUhexsVp+ey7VzQ3yr3af/4XEbGAi00mQ7RX0KDMx6Oj+ry5Z2qXIoJLoqBxamGYFoCT4g+tr4JL9r6mL0YAcel93qs/s927A/RdUMfEjwpinO3oTFLuwVUdpYMM2XyobqNbD2w3DGTBiIwasvwJt/tGcxmUjLZf9TB3eps7UI5pwJc0+HGSX2Zg4dwTvwBqHW3SRjk/ii8KcyFI12OGhD0ZJS4HINnFEbcyGhrEwK1IFQ5HFaejZzCqOsnUxSeyRGYfcIkQOj7Ov3ucNL8rcin7Fs8LPVoCNvm4WXnUkoxyehPETm1UArPl5WlOnTI3yw1uP+zTD85gAcPmAPCJAiKsdSlp/alCQfaISaAaUVMK8Eb7HKD7DSg3871sYjv/wNzz/1IrEetUU/2Ojz7gbY8oadL2Wa6FMP80oBF82iuFg+OBzLEKad85y5Fk67Bs6osS1hL70IbwQCSTnmKCC4SUgini26DBbOM23HHOuD/RsIH3jLhKRihZMITmYTHqUb1OiMfBP5MHsO1FdDZQXkp5GTGeaCiRAf706wpGeEsqP9ZB5V6bQD+gchW8mex0hxJW/nl3FfWTqbqsL0ZSSIDQ0R72zBb2ohMhlivKIeXw2jmk6XSBIuyGTR1Wvor6/iyFsJeH0P2YNt5NaVMZCbz3gyDV8aol58bazge9OzPgazavE+UEm40grjk4eaeOqb3+a5Z94kbu7Rw+OZHt80kRw8ADvegb1bbHOkGdedEuoaCxGMWgqaboJ5V77tydBOX3c5nFplWXovvASv/xFiI0773FDhwCcV1MC8i2DBaqjKhoFhOLwdmreZLlVvdBjfjHB1wKD63Ovmw2o54Jl4QgS084ThjdummZMa4Y7uJGu7WvE00UFOPN31pqhFrSCH8ZwoLRlR3glN8GTXEbY2NtJ5YD/Dze34/f0kZf6WrrNJ456NNnFMximsyKDonp9yJDqX+GuHKek4xGeuWk7pwmJenoR32qC7zyc5FIeBCdvPqCkW4rl1dsHqhXgfqWVpFnxq/2Ee//KtvLr+HRJJV+f35EM+d6/PAsESM+w06sP7YN9WOLjTDvxSxBD4C+M7HVFaJ5pZe2XbwwRj158HZ18Ca0rgWByefRHelA8RwBx4f4d9aQaiIPvF62B6IWgyafNuaNkKQz3WKQrwFHtELJEVK+Ds5UQXV5CZn2bG/eYnIEPTUEUciUF+HFaNwUcnfOaOTxLqGyaWTBjIe3R8gqbWTjZ1tdN47CjvHD3E4Y4OhgcGSIi1aLRW80eEy9VARS0G49MkOuFP2XEqv30TXadeyvDbcROhnXx+FT9akE9HCDb4oBEqe9UDpHHAA0noVk+5uFhdthN4TQ3ln1zElzpaefGL3+SVp18lYY6DcmtiBLLkEp8Z9VC3HOYstYCbBsE0SjDbrIDksIzNlnlysZr8gPElbqELKmHBRXD+BbAkB47E4Ek59Ucs88RYO1epU6/G3LNgyfkwt9oufMNmaNlse7dNj7qId4UweybhM+aTu6yUablhM8hAgogKYR/ymewfY6Kvh/HBfsIjw2TEY+SNxMgeHifaP8JAVyfNPZ209PQy1D9A39gocXNkhjaUWwhzXQoA3Lz6GlUnNM5prwnZI94otTddRfdnbqB/wwQ0j5oWhpyybG5amsaHxwcYxudYZgbN6Vk8NxFh09Ekw0d0StwIDKnHsBnKklx18yrK7r6be39wN/HxoIwckDN0RTPW+gbN1Iij6XNhrsacit2da0d9H95rBSP/Mpyy0wM6p/H7ITv/afElcIEYKGmgtra/Pg5b/uIya92wzgERHH0aLLoI5utcjQTs24nX8CLeQBtJNcNoQWpqCS0spWBxLrVFYfJFIk9Clw7HbPOZbJaNShIAABTYSURBVJokfqiD5MG9JI7stliU6hl+HN9L4nsJNMnnBFsxiT81Vs9l88GhkqY9wR1fITCxdpkdfdHWSCg+StkHTiH59Vvobk0jub3ddj/FxgnnjFC66TnSt+3ASybIn1ZI9awaJquq6F9zMruqFzN+KGQaSc2E7uFDXPbl5Uze9Z88+/NHLJ9Y96+ENnDVzDrdt8me6JjpJwSj4x+qZ1vbr9Nz9u+0T2OXXfkzMGVKfqoXw7IPwoUrYFoEdo/Dow/BzidtaBicljBjDSz+IMyfB9nHUbbGw3B0i+XdajzfgnpCc8vJmRE1yEVuFDolCPHY2nySB8fhUDscaoAjOrZOgnDjYM3mEIalaT5JPD+B71DfUDxBwpDiUociO2jF1E8cV6t8Dkyrh8adeJ2HKT97Cdz+DTrbS0keHoXeXttR1bYTnnvE+oYppNk29XieT9aMEqJ3/ZjhmauJqz/9gE41aKDik7Oo/Mt9bP3BfScadaYOi0niRerW+eJBiWpjzggzI5rSLb5UOx9mL4TiClvWFITRsBOaD9qfA+DR9O6dDCskkLn2HJJtY/DQH2DPs5bJIX8zbSUsvQzmLYCydOidMPO58CdgRiEsyCO9MkJZNhSkQW8SekZhXMdoHNSBAC1wcJ+dMiqoXBGhQaZdl69WVSM2VEmRMJL2KWHIySS1kcyQ/ZSZhwEiLEeuZHL+qUbA3vbnyZ1fScaPv03vWAXxHce5V4LplbNse9LOtlePotkDQa9j6mFi4+RdfSH+T77PUG8mbPZhezM5p4aYO7KVnZ/7KvFRV0ALBnwmE3gZ887y1YAZ19OPuINfXIFG6ltVa0flTVfHUBp0d8KB3XBotyUQ62IEoC04F5brFJwy27stbOb3v4PdT1vtmLYCll0O8xea3j4TDwgj1IJUaOSspxSA0knrcrrlHzrGSTZ2w4HDcFgjjJost2pCTYAB5yJgxrhqoEp2vmqN0g7rE8TxMgQJg7K45Fear42nzaRilRjpon6KVrrtKfImj5D1k2/TXbaQ+NYxSwNVBv/qI7Dpdbtxg1zIBDspwnDlY68ok8wH72Ni4SIS76pO20Yot5+qs6N0X/Mxxls0HsgNS3MlYy974dlGIPL2MSLEzTFzghpkJ90kah3UMnse1C22uJMurmk/HNxlHf4sDfQ6D+bPh3UZeOqWbtDsEw0Ie8AWr5ZfafvZl6TZERWuF0dAncaVZ4765HT6jPYkGO4YxG9qtoGFfJeiPfWJB0yQqeTU5UQGT9O1mkqKofZ4edX4+dPwdWyE/GHANTO7OYCEHFfMBCZqMmqH/a+S1r2d0tu+TM/y0xnfpiPwJuyslGd/CzvftcIIil/BaT1Bp2+ApZnPGSfz5n8l9PXPMrLfg43jZgBn1jXHr+lHtzD69GsuUg0OmUniFSw6xzdscz/MJGFiyTAJc5afE4pxduq6FVl6LsxbZid/moOvWm2/w3z1iChLTreVMXUkiHC+ZQTeFhydB1XToD5iMRxpkGNY6hyr6NEx0g6PMN7WT/xIkw0k2pvwBvvwBTCaU9TczjZFJveYqnAKqhB2pNblOVC9FMrn2hYDocpmpqGwLOFM6mDSOViaWj1saUIjHZiT6roPEo30UHDbLQyc/EEmt2gUYdw2a77we9gpIoiEkXK6dMBoCa4rMF9GayYJL19M+p/+hzEK8F9Kwt7DeOuyCO95jPh37rTDBEzAJ+fu4xUsOdfXjSTSc5kUsSDmk5gYx9fENs2aCo5rMB2tGTCtFuYLdxJUocSuAqo0TVqDw+xgRjMVQQ9Fl8KYBVOrCqrDLjUQWMJQJNwyAXu78A4cIXn4MP4RzZBqtnxgY11cncag6i7MnqIUBELR2MAsO3C/ejlU1ts2A0H8BmJvhZ6j0KuzqESmllPut0CjBDKp9mT5ohheTpS827/K+CVXM6FxGBpCs3c/PHsv7NpskdvgPJEA8jca8f6nrt0VaHTE66/vxjtrFb7M1hsdUDAAi0fg45+AHtXwg0H7Pl7kY//lJyvn4udV4GvmiByVOQqiy4Z+5kY63UErY7a4tHwdnHsprJmON1sYkOWz+OKzlIC38ETOaHq1RZMUoCxoUyzVziT+rj7YsR9v/x78Q3ts2GpASJkfJ4igwVNIQqpAgpxGr1PvX/kiqFxkC1DSCPWWd++3fRtdB+1R2Vp8MUs0KkO73oz4dge5KLFN8wh/+lOEP/NZJo9lwFgcdh2AJ++GXe9Y8NUMgE457DL1aNjAVAWnghrtVTAxjveZGwl95wsk2kLw3AQc2QsyW7febM/WMibYnoflhZ4b8JOamCNJCpPS5hxKQn8CeibtwSq9OkBFQumF4mxYsQhWVeJNF2jmojeN8njb1iON2QpmEGoDaLaIunI1wknjidQU+e67sHMjtDQ5hryE5lqggyNaAwqrrmvKVAkGUftaIRTPhopFUDbHEqt1kmb3frxjm/G69tvpRYrwzFFGihZUDVSLm8ygegzdyXDhGFx1OaFvfYNkd6E9yH5XEzzyQ9gtYbgztMwxsgF85HKHQCiBIAIihfFT9nNCC+uJ/Ok+YkVF+ILs32mBCwrg7d/B937ixm3Y00a9gkHfHxYcFJRAZR5UB5IP0GKqsql8UE4+P4mng0KKZL5S0BBpvKaqyTRp8adjZp8bbVBIqq+KqhSmv9kLv3/MTpjWWFeptiFQpwyoMQJxLEXb82aFoBp1RiHka2L1HCsImSfhXb3HT6xufQ+vbRveUCd+PI5v2gsE9kkQGr7pzpbS9+bYCdntCbhsHdx+B4xUWurhvnb40/HRIhueSRmC47rGpubXOw0whIzgexc1TgnFNZVmhPHu/TWcvRJf/er/r68zAa6qusP4775HIBACgbBYCSqIWsSpWq2hYAtIpbiBOi5sgghu7DoqlrYUKS0WRTqCIgJFIYI4QSOtGxWKFUXFEbV1WqgiGgUxGhIWQxLybvOdc/6PC9q+mTcvLHnv3XvO+a/f//te2gsFlfD9xorIyBFQIaEAr4cVtSuP4wPVGeoqa72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" mediaID="Hilberto_cst_ImagePadIcon"/><costume name="Ảnh chụp Màn hình 2024-12-19 lúc 15" center-x="249" center-y="156" 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" 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" 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" 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" mediaID="SG395_cst_SG395"/><costume name="Alonzo" center-x="81" center-y="61" 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" 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