data:image/png;base64,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data:image/png;base64,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: Feifan Wu Durantion: 40mins Description: This programm can to used to test the effiency of algorithms by determining the time it took to output a result. Honor Code: I did not recieve any kind of help for the making of this project.

Not in the list

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