data:image/png;base64,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data: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.

1,2,3,4,600false033002,4,616,60,1510,20,305,5,5015