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!12

de:behalte Elemente, die _ aus _ ca:manté els elements on _ de _ es:mantener los elementos donde _ de _ fr:garder les items tels que _ de _ 1

de:kombiniere mit _ die Elemente von _ ca:combina amb _ els elements de _ es:combinar con _ los elementos de _ fr:combine avec _ les items de _ 1

de: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 _ _ 110i

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ 121

de: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 _ _ cont

de:wirf _ ca:llança _ es:lanzar _ fr:lance _ catchtag

de:fange _ _ ca:agafa _ _ es:atrapar _ _ fr:attrape _ _ cont

de:wirf _ _ ca:llança _ _ es:lanzar _ _ fr:lance _ _ catchtag

de: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 _ 110

de:wende _ an auf _ ca:mapeja _ sobre _ es:mapear _ sobre _ fr:appliquer _ à _ 1

Take 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]].

1111

Reports a new list containing the items of the input list, but in the opposite order.

1inputresult

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.

Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

1even itemsmerge11#1#2

The 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.

#11datacountmapmany#

1data listscount

#1datacount1

This statistic is calculated by the (number of successes) / (total number of outcomes)

pt:o texto multilinha _ ca:multilínia _

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2007,4,Mclaren2008,5,Mclaren2009,2,Mclaren2010,3,Mclaren2011,3,Mclaren2012,4,Mclaren2013,1,Mclaren2014,11,Mercedes2015,10,Mercedes2016,10,Mercedes2017,7,Mercedes2018,11,Mercedes2019,11,Mercedes2020,11,Mercedes2021,7,Mercedes2024,2,Mercedes6.37553.67210770539209545,7,7,10,10,11,11,11,110There were 9 successful seasons in Lewis Hamiltion's career.,Those years are as follows:,"2008 2014 2015 2016 2017 2018 2019 2020 2021"