Created
June 2, 2013 19:15
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Sudoku solver by backtracking algorithm
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require 'matrix' | |
class Matrix | |
# Assign the given value to the slot at the specified row and column | |
def []=(row, column, value) | |
@rows[row][column] = value | |
end | |
def to_s | |
[sprintf("%d x %d Matrix", @rows.length, column_size), | |
@rows.map { |row| row.inspect }].flatten.join("\n") | |
end | |
end | |
grid = Matrix.rows([ | |
[8,0,0,0,0,0,0,0,0], | |
[0,0,3,6,0,0,0,0,0], | |
[0,7,0,0,9,0,2,0,0], | |
[0,5,0,0,0,7,0,0,0], | |
[0,0,0,0,4,5,7,0,0], | |
[0,0,0,1,0,0,0,3,0], | |
[0,0,1,0,0,0,0,6,8], | |
[0,0,8,5,2,0,0,1,0], | |
[0,9,0,0,0,0,4,0,0] | |
]) | |
puts grid | |
def solve_sudoku(grid) | |
return true if grid.index(0).nil? | |
actual = grid.index(0) | |
(1..9).each do |n| | |
next if grid.row(actual[0]).include?(n) || grid.column(actual[1]).include?(n) || verify_blocks(grid, actual, n) | |
grid[actual[0], actual[1]] = n | |
if solve_sudoku(grid) | |
return true | |
end | |
end | |
grid[actual[0], actual[1]] = 0 | |
return false | |
end | |
def verify_blocks(grid, actual, value) | |
block_row_start = actual[0] - (actual[0] % 3) | |
block_column_start = actual[1] - (actual[1] % 3) | |
block_row_end = block_row_start + (3 - 1) | |
block_column_end = block_column_start + (3 - 1) | |
(block_row_start..block_row_end).each do |r| | |
(block_column_start..block_column_end).each do |c| | |
return true if grid[r,c] == value | |
end | |
end | |
return false | |
end | |
solve_sudoku(grid) | |
puts grid | |
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