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:image/png;base64,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(2)SpriteUntitled drawingSprite(5)Sprite(4)Sprite(3)Sprite(3)sorted listunsorted listlistSprite(2)sorted listunsorted listCBDAF2Option 2: enter your code here for Bubble SortSprite(2)SpriteHow long is the list?Sprite(5)sorted listSprite(4)2listsorted list110Option 2: enter your code here for Bubble SortSprite(2)sorted listunsorted listCBDAF2Option 1: enter your code here for Partition SortSprite(3)sorted listunsorted listCBDAF2Option 1: enter your code here for Partition SortTake 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]].1111111-1