data:image/png;base64,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:image/png;base64,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

index1

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.

1,2,3,4,6165falsetrue6661,2,3,4,62,4,616,150,1510,20,30,40,505,5,53.215