def test_for_futoshiki_file(filename):
print(filename)
problem = read_futoshiki_problem(filename, prefix)
board = BoardFutoshiki(problem['matrix'], problem['constraints'])
solver = Solver(board)
results = solver.solve()
print(' number of results: ' + str(len(results)))
for result in results:
print(result)
if not check_if_unique(results):
global uniqueq
unique = False
def test_for_skyscrapper_file(filename):
print(filename)
problem = read_skyscrapper_problem(filename, skyscrapper_prefix)
board = BoardSkyscrapper(N=problem['N'],
constraints=problem['constraints'],
name=problem['name'])
solver = Solver(board)
results = solver.solve()
print(filename + ' number of results: ' + str(len(results)))
for result in results:
print(result)
if not check_if_unique(results):
global unique
unique = False
import os
from src import UseCSVData, UseMysqlData, Solver
runtime_seconds = 60
population_size = 100
selection_size = 20
path = os.getcwd()
# data = UseMysqlData()
data = UseCSVData(path + "/data/order2.csv", path + "/data/pizza.csv",
path + "/data/ingredients.csv", path + "/data/robot.csv",
path)
solver = Solver(data)
solution = solver.solveGeneticAlgorithm(runtime_seconds=runtime_seconds,
population_size=population_size,
selection_size=selection_size)
print(solution.df)
solution.df.to_csv("output/solution.csv")
print(solution.makespan)
solution.createGanttChart()
def test_result_of_solving_futoshiki_4_1(self):
problem = read_futoshiki_problem('futoshiki_4_1.txt')
board = BoardFutoshiki(matrix=problem['matrix'], constraints=problem['constraints'])
solver = Solver(board)
results = solver.solve()
def test_solving_futoshiki_4_2_doesnt_crash_program(self):
problem = read_futoshiki_problem('futoshiki_4_2.txt')
board = BoardFutoshiki(matrix=problem['matrix'], constraints=problem['constraints'])
# print(board.matrix)
solver = Solver(board)
results = solver.solve()
def create_simple_solution():
board = create_simple_board()
s = Solver(board)
return s
def create_solution_3():
board = create_board_3()
s = Solver(board)
return s
def create_solution_5():
board = create_board_5()
solution = Solver(board)
return solution
