data:image/png;base64,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

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.

ca:elimina els duplicats de _

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.

ca:ordena _ segons criteri _

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.

ca:associació _ _

ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

The identity function reports its input.

Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

ca:multi-mapeja _ sobre _

Takes a text string as input, and reports a new text string containing all but the first character of the input.

pt:_ sem o primeiro caractere ca:_ sense la primera lletra

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE➞LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a primeira palavra ca:_ sense la primera paraula

All but first of empty sentence.

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

pt:_ sem o último caractere ca:_ sense la darrera lletra

All but first of empty word.

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

pt:_ sem a última palavra ca:_ sense la darrera paraula

All but last of empty sentence.

pt:a primeira palavra de _ ca:primera paraula de _

Takes a text string as input, and reports the last character in the string.

pt:o último caractere de _ ca:primera lletra de _ 0

pt:a última palavra de _ ca:darrera paraula de _

Last of empty sentence.

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

pt:a palavra _ está vazia ca:paraula buida? _ 0

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

pt:a frase _ está vazia ca:frase buida? _

Like JOIN, takes any number of words (text strings) and reports a sentence with its inputs concatenated, but inserts a blank space between the inputs. Consider using SENTENCE (Lists palette) instead.

de:füge Wörter zusammen _ ca:uneix les paraules _ es:unir las palabras _ fr:fusionne les mots _ pt:uma frase com as palavras _ firstbffirst1

1bf

Takes a sentence in list form and reports the sentence as a text string.

de:Liste $arrowRight Satz _ ca:llista $arrowRight frase _ es:lista $arrowRight frase _ fr:liste $arrowRight phrase _ pt:uma frase com as palavras em _

Takes a sentence in text string form and reports the sentence as a list of its words.

de:Satz $arrowRight Liste _ ca:frase $arrowRight llista _ es:frase $arrowRight lista _ fr:phrase $arrowRight liste _ pt:uma lista com as palavras da frase _

report a list in which each item is one letter from the input word

de:Wort $arrowRight Liste _ ca:paraula $arrowRight llista _ es:palabra $arrowRight lista _ fr:mot $arrowRight liste _ pt:uma lista com os caracteres da palavra _

join all the items of the input list into a single word, and report it

de:Liste $arrowRight Wort _ ca:llista $arrowRight paraula _ es:lista $arrowRight palabra _ fr:liste $arrowRight mot _ pt:uma palavra com os caracteres em _

SENTENCE is the main constructor for sentences, represented as lists of words. It takes zero or more inputs, each of which can be either a list or a text string. If a list, the input is assumed to be a list of words. If a text string, it is converted to a list of words using SENTENCE→LIST. Then all the lists of words are appended to form a new list of words. If the inputs are lists of lists rather than lists of words, SENTENCE, like APPEND, does only one level of flattening, reporting a list of all the items of all the input lists.

ca:frase _

pt:lança o erro _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation).

ca:notació textual de _ (

)

Helper function for word/sentence library. Reports its first input, unless that input is empty, in which case it gives its second input as an error message.

Takes a text string as input, and reports the first character in the string.

pt:a primeira palavra de _ ca:primera lletra de _

takes a snapshot with the webcam and reports it as a new costume, or zero if the user cancels

pt:$camera a imagem actual do vídeo

§_costumesMenureturned_costume

This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _

§_costumesMenuspecial_pixel_red1special_pixel_green2special_pixel_blue3

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 'names' list). If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.

pt:cria as variáveis _ _ ca:crea les _ variables _ es:crear las _ variables _ de:erstellen _ var _ globalglobal sprite script

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==

100Posterize -- reduce the number of colors in the picture.

100

0A Simple FilterInset one picture in anotherRotate the inside of the eiffel tower 90ChromakeyChromakey that doesn't work so wellInvert (negate) whole picture00002550-2401800000waterfall