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options.py
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options.py
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class Options:
def __init__(self):
self.method = None
self.print_result_to_stdout = True
self.tests_directory = ''
self.output_directory = ''
self.debug_directory = 'out_debug'
self.instances_sizes = [10, 20, 50, 100, 200, 500, 1000]
self.dump_results = True
self.dump_format = "out"
self.txt_filename = "sch"
self.debug_filename = "DEBUG_second"
self.debug = False # dump debug to a file
self.verbose_debug = False # print text during debug
self.compare_with_best_results = False
self.best_results_filename = "best_results.txt"
self.dump_batch_runner = False
self.batch_runner_filename = "batch"
class Instance:
index = '127083'
def __init__(self, n, k, h):
self.n = n
self.k = k
self.h = h
self.data = None
self.best_cost = 0
self.best_cost_is_optimal = False
def __eq__(self, other):
if isinstance(other, Instance):
return self.n == other.n and self.k == other.k and self.h == other.h
return False
def __str__(self):
return 'n:{}, k:{}, h:{}, total length:{}, best cost {}, is optimal? {}'.\
format(self.n, self.k+1, self.h,
sum([x.length for x in self.data]) if self.data is not None else -1, self.best_cost, self.best_cost_is_optimal)
class Result:
def __init__(self, instance):
self.time = .0
self.order = []
self.length = 0
self.cost = 0
self.totalLength = 0
self.dueDate = 0
self.instance = instance
self.is_solution_feasible = False
class Task:
def __init__(self, params, task_index):
self.length = int(params[0])
self.earliness_cost = int(params[1])
self.tardiness_cost = int(params[2])
self.earliness_ratio = 0
self.tardiness_ratio = 0
self.task_index = int(task_index)