data:image/png;base64,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

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 _ _

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.

ca:notació textual de _ (

)

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 _

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 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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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==need to do projects with run time errors12345028,16,10,9,352816101035