SCL2 m2u1 [ + ] afegeix un personatge que pots moure per l'esceniri per definir la seva trajectòria. [ > ] reprodueix les trajectòries dels personatges. [ < ] reprodueix les trajectòries dels personatges cap 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SCL2 m2u1 [ + ] afegeix un personatge que pots moure per l'esceniri per definir la seva trajectòria. [ > ] reprodueix les trajectòries dels personatges. [ < ] reprodueix les trajectòries dels personatges cap enrera.Take any number of input lists, and create a new list containing the items of the input lists. So APPEND [A B] [C D] where the [...] are lists reports the list [A B C D] not [[A B] [C D]].

length11111Reports a new list containing the items of the input list, but in the opposite order.

1inputresultReports 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.

1Reports 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.

copy of datasplitmerge11#1#2The 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.

11This block applies the given function to each item of the given list, like the primitive MAP block, but with two differences: 1. The # variable provided will contain the item number of the item currently being used in the given function: 1 for item 1, and so on. You read the variable in your function; don't set it. 2. You can provide more than one input list. If so, the lengths of all the lists should be the same, and the function you supply must expect as many inputs as you have lists (i.e., that many empty input slots in the function).

#11datacountmapmany##1#1data listscountThis block makes a new list containing selected items from the given list, like the primitive KEEP block. What's different is that it provides the # variable for use in your predicate function. It will contain the item number (in the original list) of the item being examined by the predicate.

#1datacount1This 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.

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==