restart the project after changing the total_points veriable - this project finds the shortest past between given amount of points. if N = point amount N! = different possible ways 5 points = 120 different ways 10 points = 3,628,800 different ways this project completely depends on random switching. so there might be a lot of previously calculated routes. data:image/png;base64,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restart the project after changing the total_points veriable - this project finds the shortest past between given amount of points. if N = point amount N! = different possible ways 5 points = 120 different ways 10 points = 3,628,800 different ways this project completely depends on random switching. so there might be a lot of previously calculated routes.

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