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 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 _

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393-393.541xMountain-9090false90036-144-140,-108,-99.06535774152053,-94.27915257943391,-72.0940977257493,-37.518679999395374,-12.407808141532684,-9.285603958836958,-8.064033351965577,-8.040706857867974,-3.6810515990708836,-1.9212847052091888,-1.6853733425965913,-1.318494646226327,0.0809046934686819,3.5890521650596554,4.158042226031853,9.086978701356855,10.235941060114015,12.145922302613997,15.635425937665019,23.77142813477232,26.452824327716996false0false612-555false-20falsetrue22610