backtracking.n_queens¶
The nqueens problem is of placing N queens on a N * N chess board such that no queen can attack any other queens placed on that chess board. This means that one queen cannot have any other queen on its horizontal, vertical and diagonal lines.
Attributes¶
Functions¶
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This function returns a boolean value True if it is safe to place a queen there |
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Prints the boards that have a successful combination. |
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This function creates a state space tree and calls the safe function until it |
Module Contents¶
- backtracking.n_queens.is_safe(board: list[list[int]], row: int, column: int) bool ¶
This function returns a boolean value True if it is safe to place a queen there considering the current state of the board.
Parameters: board (2D matrix): The chessboard row, column: Coordinates of the cell on the board
Returns: Boolean Value
>>> is_safe([[0, 0, 0], [0, 0, 0], [0, 0, 0]], 1, 1) True >>> is_safe([[1, 0, 0], [0, 0, 0], [0, 0, 0]], 1, 1) False
- backtracking.n_queens.printboard(board: list[list[int]]) None ¶
Prints the boards that have a successful combination.
- backtracking.n_queens.solve(board: list[list[int]], row: int) bool ¶
This function creates a state space tree and calls the safe function until it receives a False Boolean and terminates that branch and backtracks to the next possible solution branch.
- backtracking.n_queens.board¶
- backtracking.n_queens.n = 8¶
- backtracking.n_queens.solution = []¶