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 _ _

1Takes 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 _ data:image/png;base64,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Name,Klasse,Hund|Katze,Pop|Rap,Fondue|Kebap,Arbeit|Freizeit,Mathematik|Französisch,Süsses|Saures,Romanshorn|Salmsach,Berge|Meer,Geld|Liebe,Pokemon|Dragonballphtot,2a,9,3,8,2,4,6,6,6,6,6jorpo,2b,6,4,5,6,3,5,10,5,7,9jpxzdi,2e,3,6,5,9,10,1,8,8,1,51,11,21,32,12,22,33,13,23,3phtot,jorpo,jpxzdiPerson 1,Person 2,Distancephtot,jorpo,8jorpo,phtot,8jorpo,jpxzdi,12.328828005937952jpxzdi,jorpo,12.328828005937952phtot,jpxzdi,14.071247279470288jpxzdi,phtot,14.071247279470288phtot,phtot,0jorpo,jorpo,0jpxzdi,jpxzdi,0