data:image/png;base64,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:image/png;base64,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

Would you like to reset your lists and start again?no

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.

ca:associació _ _ 11

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 _

sunday,monday,tuesday,wednesday,thursday,friday,saturday834,34,45,46,54,65,787813568234,34