def generate_sudoku(difficulty):
return remove_numbers(Generation.make_full_grid(3), difficulty)
ftime = timel / 100.0
return ftime
def solve_timing(glist):
timel = 0.0
for x in glist:
start = time.time()
Solving.solve_grid(x)
end = time.time()
timel = timel + (end - start)
ftime = timel / 100.0
return ftime
def constraint_solve_timing(glist):
timel = 0.0
for x in glist:
start = time.time()
SolveConstraintPropagation.constraint_solve(x)
end = time.time()
timel = timel + (end - start)
ftime = timel / 100.0
return ftime
grids = [Generation.make_full_grid(3) for x in range(0, 500)]
print("Remove time: " + str(remove_timing(copy.deepcopy(grids))))
print("RecursiveRemove time: " + str(rec_remove_timing(copy.deepcopy(grids))))
print("Solving time: " + str(solve_timing(copy.deepcopy(grids))))
print("SolveConstraintPropagation: " + str(constraint_solve_timing(copy.deepcopy(grids))))
def rec_generate_sudoku(difficulty):
grid = Generation.make_full_grid(3)
additions = random.randint(min_remove(difficulty), max_remove(difficulty))
return rec_remove_numbers(grid, additions, 0, lowerbound(difficulty), [x for x in range(0, 9)], [x for x in range(0, 9)], [])
