data:image/png;base64,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data:image/png;base64,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-3500-350

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ A72

1cos change01cos change31cos change01cos change3

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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 first one is kept in the result.

ca:elimina els duplicats de _ 1

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 _ copy of datasplitmerge11#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.

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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 _ _

Takes a (possibly deep) list as input, and reports a human-readable text form of the list (namely, Lisp notation). Will not work on circular lists.

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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.

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.)

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 _

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