data:image/png;base64,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data:image/png;base64,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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 _
12122Take 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#1datacount1This statistic is calculated by the (number of successes) / (total number of outcomes)2000,10252.32001,10581.82002,10936.42003,11458.22004,12213.72005,13036.62006,13814.62007,14451.92008,14712.82009,14448.92010,14992.12011,15542.62012,161972013,16784.92014,17512.72015,18219.32016,18707.22017,19485.42018,20500.614939.42105263157814712.82995.3319361930220.6315789473684218972013.40797783814634.68742750501614328.85171261018915236.74226321983410248.32472.3168975069252573.2789473684225549.12695767206511570.96071703839172995.331936193022158288348.5810059612581.26975233445810252.3,10581.8,10936.4,11458.2,12213.7,13036.6,13814.6,14451.9,14712.8,14448.9,14992.1,15542.6,16197,16784.9,17512.7,18219.3,18707.2,19485.4,20500.65508.4999999999981682531.4979105436539.3842105263158