



import argparse
import copy



def       _lowerCAmelCase			(_lowerCAmelCase):
					UpperCamelCase_						     =      {}

					with open(_lowerCamelCase) as f:
										for line in f:
															if line.split()[0] not in dict_of_neighbours:
																				UpperCamelCase_						     =      []
																				_list.append([line.split()[1], line.split()[2]])
																				UpperCamelCase_						     =      _list
															else:
																				dict_of_neighbours[line.split()[0]].append(
																				    [line.split()[1], line.split()[2]])
															if line.split()[1] not in dict_of_neighbours:
																				UpperCamelCase_						     =      []
																				_list.append([line.split()[0], line.split()[2]])
																				UpperCamelCase_						     =      _list
															else:
																				dict_of_neighbours[line.split()[1]].append(
																				    [line.split()[0], line.split()[2]])

					return dict_of_neighbours



def       _lowerCAmelCase			(_lowerCAmelCase      ,		_lowerCAmelCase):




					with open(_lowerCamelCase) as f:
										UpperCamelCase_						     =      f.read(1)
					UpperCamelCase_						     =      start_node

					UpperCamelCase_						     =      []

					UpperCamelCase_						     =      start_node

					UpperCamelCase_						     =      0
					while visiting not in first_solution:
										UpperCamelCase_						     =      1_00_00
										for k in dict_of_neighbours[visiting]:
															if int(k[1]) < int(_lowerCamelCase) and k[0] not in first_solution:
																				UpperCamelCase_						     =      k[1]
																				UpperCamelCase_						     =      k[0]

										first_solution.append(_lowerCamelCase)
										UpperCamelCase_						     =      distance_of_first_solution + int(_lowerCamelCase)
										UpperCamelCase_						     =      best_node

					first_solution.append(_lowerCamelCase)

					UpperCamelCase_						     =      0
					for k in dict_of_neighbours[first_solution[-2]]:
										if k[0] == start_node:
															break
										position += 1

					UpperCamelCase_						     =      (
					    distance_of_first_solution
					    + int(dict_of_neighbours[first_solution[-2]][position][1])
					    - 1_00_00
					)
					return first_solution, distance_of_first_solution



def       _lowerCAmelCase			(_lowerCAmelCase      ,		_lowerCAmelCase):
					UpperCamelCase_						     =      []

					for n in solution[1:-1]:
										UpperCamelCase_						     =      solution.index(_lowerCamelCase)
										for kn in solution[1:-1]:
															UpperCamelCase_						     =      solution.index(_lowerCamelCase)
															if n == kn:
																				continue

															UpperCamelCase_						     =      copy.deepcopy(_lowerCamelCase)
															UpperCamelCase_						     =      kn
															UpperCamelCase_						     =      n

															UpperCamelCase_						     =      0

															for k in _tmp[:-1]:
																				UpperCamelCase_						     =      _tmp[_tmp.index(_lowerCamelCase) + 1]
																				for i in dict_of_neighbours[k]:
																									if i[0] == next_node:
																														UpperCamelCase_						     =      distance + int(i[1])
															_tmp.append(_lowerCamelCase)

															if _tmp not in neighborhood_of_solution:
																				neighborhood_of_solution.append(_tmp)

					UpperCamelCase_						     =      len(neighborhood_of_solution[0]) - 1

					neighborhood_of_solution.sort(key=lambda _lowerCAmelCase: x[index_of_last_item_in_the_list])
					return neighborhood_of_solution



def       _lowerCAmelCase			(_lowerCAmelCase      ,		_lowerCAmelCase      ,		_lowerCAmelCase      ,		_lowerCAmelCase      ,		_lowerCAmelCase):
					UpperCamelCase_						     =      1
					UpperCamelCase_						     =      first_solution
					UpperCamelCase_						     =      []
					UpperCamelCase_						     =      distance_of_first_solution
					UpperCamelCase_						     =      solution

					while count <= iters:
										UpperCamelCase_						     =      find_neighborhood(_lowerCamelCase      ,		_lowerCamelCase)
										UpperCamelCase_						     =      0
										UpperCamelCase_						     =      neighborhood[index_of_best_solution]
										UpperCamelCase_						     =      len(_lowerCamelCase) - 1

										UpperCamelCase_						     =      False
										while not found:
															UpperCamelCase_						     =      0
															while i < len(_lowerCamelCase):
																				if best_solution[i] != solution[i]:
																									UpperCamelCase_						     =      best_solution[i]
																									UpperCamelCase_						     =      solution[i]
																									break
																				UpperCamelCase_						     =      i + 1

															if [first_exchange_node, second_exchange_node] not in tabu_list and [
															    second_exchange_node,
															    first_exchange_node,
															] not in tabu_list:
																				tabu_list.append([first_exchange_node, second_exchange_node])
																				UpperCamelCase_						     =      True
																				UpperCamelCase_						     =      best_solution[:-1]
																				UpperCamelCase_						     =      neighborhood[index_of_best_solution][best_cost_index]
																				if cost < best_cost:
																									UpperCamelCase_						     =      cost
																									UpperCamelCase_						     =      solution
															else:
																				UpperCamelCase_						     =      index_of_best_solution + 1
																				UpperCamelCase_						     =      neighborhood[index_of_best_solution]

										if len(_lowerCamelCase) >= size:
															tabu_list.pop(0)

										UpperCamelCase_						     =      count + 1

					return best_solution_ever, best_cost



def       _lowerCAmelCase			(_lowerCAmelCase=None):
					UpperCamelCase_						     =      generate_neighbours(args.File)

					UpperCamelCase_						     =      generate_first_solution(
					    args.File      ,		_lowerCamelCase)

					UpperCamelCase_						     =      tabu_search(
					    _lowerCamelCase      ,		_lowerCamelCase      ,		_lowerCamelCase      ,		args.Iterations      ,		args.Size      ,		)

					print(f"""Best solution: {best_sol}, with total distance: {best_cost}.""")


if __name__ == "__main__":
	UpperCAmelCase      :							List[str]							       =argparse.ArgumentParser(description="""Tabu Search""")
	parser.add_argument(
	    """-f""",
	    """--File""",
	    type=str,
	    help="""Path to the file containing the data""",
	    required=True,
	)
	parser.add_argument(
	    """-i""",
	    """--Iterations""",
	    type=int,
	    help="""How many iterations the algorithm should perform""",
	    required=True,
	)
	parser.add_argument(
	    """-s""", """--Size""", type=int, help="""Size of the tabu list""", required=True
	)

	# Pass the arguments to main method
	main(parser.parse_args())





import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs






@pytest.mark.parametrize(
    "kwargs, expected"				, [
        ({"num_shards": 0, "max_num_jobs": 1}, []),
        ({"num_shards": 10, "max_num_jobs": 1}, [range(10  )]),
        ({"num_shards": 10, "max_num_jobs": 10}, [range(_lowerCamelCase				, i + 1  ) for i in range(10  )]),
        ({"num_shards": 1, "max_num_jobs": 10}, [range(1  )]),
        ({"num_shards": 10, "max_num_jobs": 3}, [range(0				, 4  ), range(4				, 7  ), range(7				, 10  )]),
        ({"num_shards": 3, "max_num_jobs": 10}, [range(0				, 1  ), range(1				, 2  ), range(2				, 3  )]),
    ]				, )
def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							List[Any]    =    _distribute_shards(**_lowerCamelCase  )
							assert out == expected






@pytest.mark.parametrize(
    "gen_kwargs, max_num_jobs, expected"				, [
        ({"foo": 0}, 10, [{"foo": 0}]),
        ({"shards": [0, 1, 2, 3]}, 1, [{"shards": [0, 1, 2, 3]}]),
        ({"shards": [0, 1, 2, 3]}, 4, [{"shards": [0]}, {"shards": [1]}, {"shards": [2]}, {"shards": [3]}]),
        ({"shards": [0, 1]}, 4, [{"shards": [0]}, {"shards": [1]}]),
        ({"shards": [0, 1, 2, 3]}, 2, [{"shards": [0, 1]}, {"shards": [2, 3]}]),
    ]				, )
def 				A				(					_lowerCamelCase				, _lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Optional[int]    =    _split_gen_kwargs(_lowerCamelCase				, _lowerCamelCase  )
							assert out == expected






@pytest.mark.parametrize(
    "gen_kwargs, expected"				, [
        ({"foo": 0}, 1),
        ({"shards": [0]}, 1),
        ({"shards": [0, 1, 2, 3]}, 4),
        ({"shards": [0, 1, 2, 3], "foo": 0}, 4),
        ({"shards": [0, 1, 2, 3], "other": (0, 1)}, 4),
        ({"shards": [0, 1, 2, 3], "shards2": [0, 1]}, RuntimeError),
    ]				, )
def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							if expected is RuntimeError:
														with pytest.raises(_lowerCamelCase  ):
																					_number_of_shards_in_gen_kwargs(_lowerCamelCase  )
							else:
														_lowerCAmelCase     :							Optional[int]    =    _number_of_shards_in_gen_kwargs(_lowerCamelCase  )
														assert out == expected
