

'''simple docstring'''





import argparse
import copy







def   _UpperCamelCase	(		__UpperCamelCase	)       ->			Optional[Any]:
					lowerCamelCase_  				=      {}

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

					return dict_of_neighbours







def   _UpperCamelCase	(		__UpperCamelCase    ,__UpperCamelCase	)       ->			Tuple:





					with open(A__	) as f:
										lowerCamelCase_  				=      f.read(1	)
					lowerCamelCase_  				=      start_node

					lowerCamelCase_  				=      []

					lowerCamelCase_  				=      start_node

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

										first_solution.append(A__	)
										lowerCamelCase_  				=      distance_of_first_solution + int(A__	)
										lowerCamelCase_  				=      best_node

					first_solution.append(A__	)

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

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







def   _UpperCamelCase	(		__UpperCamelCase    ,__UpperCamelCase	)       ->			Any:
					lowerCamelCase_  				=      []

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

															lowerCamelCase_  				=      copy.deepcopy(A__	)
															lowerCamelCase_  				=      kn
															lowerCamelCase_  				=      n

															lowerCamelCase_  				=      0

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

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

					lowerCamelCase_  				=      len(neighborhood_of_solution[0]	) - 1

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







def   _UpperCamelCase	(		__UpperCamelCase    ,__UpperCamelCase    ,__UpperCamelCase    ,__UpperCamelCase    ,__UpperCamelCase	)       ->			Optional[int]:
					lowerCamelCase_  				=      1
					lowerCamelCase_  				=      first_solution
					lowerCamelCase_  				=      []
					lowerCamelCase_  				=      distance_of_first_solution
					lowerCamelCase_  				=      solution

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

										lowerCamelCase_  				=      False
										while not found:
															lowerCamelCase_  				=      0
															while i < len(A__	):
																				if best_solution[i] != solution[i]:
																									lowerCamelCase_  				=      best_solution[i]
																									lowerCamelCase_  				=      solution[i]
																									break
																				lowerCamelCase_  				=      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]	)
																				lowerCamelCase_  				=      True
																				lowerCamelCase_  				=      best_solution[:-1]
																				lowerCamelCase_  				=      neighborhood[index_of_best_solution][best_cost_index]
																				if cost < best_cost:
																									lowerCamelCase_  				=      cost
																									lowerCamelCase_  				=      solution
															else:
																				lowerCamelCase_  				=      index_of_best_solution + 1
																				lowerCamelCase_  				=      neighborhood[index_of_best_solution]

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

										lowerCamelCase_  				=      count + 1

					return best_solution_ever, best_cost







def   _UpperCamelCase	(		__UpperCamelCase=None	)       ->			Union[str, Any]:
					lowerCamelCase_  				=      generate_neighbours(args.File	)

					lowerCamelCase_  				=      generate_first_solution(
					    args.File    ,A__	)

					lowerCamelCase_  				=      tabu_search(
					    A__    ,A__    ,A__    ,args.Iterations    ,args.Size    ,)

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


if __name__ == "__main__":
				A_	= 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())







'''simple docstring'''






import math







def 							UpperCamelCase_     (       A__   :  float				,       A__   :  float   ):
  '''simple docstring'''





  if initial_intensity < 0:
    raise ValueError("""The value of intensity cannot be negative"""   )
    # handling of negative values of initial intensity
  if angle < 0 or angle > 3_60:
    raise ValueError("""In Malus Law, the angle is in the range 0-360 degrees"""   )
    # handling of values out of allowed range
  return initial_intensity * (math.cos(math.radians(A__   )   ) ** 2)


if __name__ == "__main__":
  import doctest

  doctest.testmod(name="malus_law")



