data:image/png;base64,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data:image/png;base64,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LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
1Take any number of input lists, and create a new list containing the items of the input lists. So
APPEND [A B] [C D]
where the [,,,] are lists reports the list
[A B C D]
not [[A B] [C D]].11111Reports a new list containing the items of the input list, but in the opposite order.1inputresultReports 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.1Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.1even itemsmerge11#1#2The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.11#11datacountmapmany##1#1data listscount#1datacount1Calculates the standard deviation. You do NOT need to alter this block.p^hatSpring 2018,660755Fall 2017,647288Fall 2016,620807Spring 2016,624301Fall 2015,629488Spring 2015,632572Fall 2014,630964Spring 2014,637584Fall 2013,635033Spring 2013,630492Fall 2012,616008Spring 2012,614460Fall 2011,611566630101.3846153846630492793.78925705465720.615384615384615462000819131814000