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:image/png;base64,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Reports a new list containing the items of the input list, but in the opposite order.
ca:capgira _ 1inputresult
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 last 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 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.)
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.
1
The identity function reports its input.
0010170