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]].

1111

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

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.

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.

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.

This 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#

1data listscount

This 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.

#1datacount1

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.

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==