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

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.

de:Kostüm aus Text _ Größe _ pt:um traje com o texto _ de tamanho _ A72

pt:o texto multilinha _