



'''simple docstring'''






import argparse
import copy


def  snake_case_     (					_lowerCAmelCase  :						Optional[Any]  )      ->   Dict:
							UpperCAmelCase :       List[Any] 							=		{}

							with open(_lowerCAmelCase  ) as f:
														for line in f:
																					if line.split()[0] not in dict_of_neighbours:
																												UpperCAmelCase :       Tuple 							=		[]
																												_list.append([line.split()[1], line.split()[2]]  )
																												UpperCAmelCase :       Union[str, Any] 							=		_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[str] 							=		[]
																												_list.append([line.split()[0], line.split()[2]]  )
																												UpperCAmelCase :       Dict 							=		_list
																					else:
																												dict_of_neighbours[line.split()[1]].append(
																												    [line.split()[0], line.split()[2]]  )

							return dict_of_neighbours


def  snake_case_     (					_lowerCAmelCase  :						Union[str, Any]   ,      _lowerCAmelCase  :						Optional[Any]  )      ->   str:

							with open(_lowerCAmelCase  ) as f:
														UpperCAmelCase :       Dict 							=		f.read(1  )
							UpperCAmelCase :       Union[str, Any] 							=		start_node

							UpperCAmelCase :       Union[str, Any] 							=		[]

							UpperCAmelCase :       Optional[int] 							=		start_node

							UpperCAmelCase :       Tuple 							=		0
							while visiting not in first_solution:
														UpperCAmelCase :       Dict 							=		10000
														for k in dict_of_neighbours[visiting]:
																					if int(k[1]  ) < int(_lowerCAmelCase  ) and k[0] not in first_solution:
																												UpperCAmelCase :       Optional[int] 							=		k[1]
																												UpperCAmelCase :       List[str] 							=		k[0]

														first_solution.append(_lowerCAmelCase  )
														UpperCAmelCase :       Optional[Any] 							=		distance_of_first_solution + int(_lowerCAmelCase  )
														UpperCAmelCase :       Optional[int] 							=		best_node

							first_solution.append(_lowerCAmelCase  )

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

							UpperCAmelCase :       str 							=		(
							    distance_of_first_solution
							    + int(dict_of_neighbours[first_solution[-2]][position][1]  )
							    - 10000
							)
							return first_solution, distance_of_first_solution


def  snake_case_     (					_lowerCAmelCase  :						List[str]   ,      _lowerCAmelCase  :						Tuple  )      ->   List[Any]:
							UpperCAmelCase :       int 							=		[]

							for n in solution[1:-1]:
														UpperCAmelCase :       List[Any] 							=		solution.index(_lowerCAmelCase  )
														for kn in solution[1:-1]:
																					UpperCAmelCase :       List[Any] 							=		solution.index(_lowerCAmelCase  )
																					if n == kn:
																												continue

																					UpperCAmelCase :       int 							=		copy.deepcopy(_lowerCAmelCase  )
																					UpperCAmelCase :       int 							=		kn
																					UpperCAmelCase :       Union[str, Any] 							=		n

																					UpperCAmelCase :       Tuple 							=		0

																					for k in _tmp[:-1]:
																												UpperCAmelCase :       str 							=		_tmp[_tmp.index(_lowerCAmelCase  ) + 1]
																												for i in dict_of_neighbours[k]:
																																			if i[0] == next_node:
																																										UpperCAmelCase :       Union[str, Any] 							=		distance + int(i[1]  )
																					_tmp.append(_lowerCAmelCase  )

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

							UpperCAmelCase :       Optional[int] 							=		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  snake_case_     (					_lowerCAmelCase  :						List[Any]   ,      _lowerCAmelCase  :						Dict   ,      _lowerCAmelCase  :						Optional[int]   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Dict  )      ->   str:
							UpperCAmelCase :       List[Any] 							=		1
							UpperCAmelCase :       Dict 							=		first_solution
							UpperCAmelCase :       Dict 							=		[]
							UpperCAmelCase :       Optional[int] 							=		distance_of_first_solution
							UpperCAmelCase :       Union[str, Any] 							=		solution

							while count <= iters:
														UpperCAmelCase :       str 							=		find_neighborhood(_lowerCAmelCase   ,      _lowerCAmelCase  )
														UpperCAmelCase :       Optional[Any] 							=		0
														UpperCAmelCase :       Tuple 							=		neighborhood[index_of_best_solution]
														UpperCAmelCase :       List[str] 							=		len(_lowerCAmelCase  ) - 1

														UpperCAmelCase :       Optional[Any] 							=		False
														while not found:
																					UpperCAmelCase :       int 							=		0
																					while i < len(_lowerCAmelCase  ):
																												if best_solution[i] != solution[i]:
																																			UpperCAmelCase :       Any 							=		best_solution[i]
																																			UpperCAmelCase :       Any 							=		solution[i]
																																			break
																												UpperCAmelCase :       Any 							=		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 :       int 							=		True
																												UpperCAmelCase :       Union[str, Any] 							=		best_solution[:-1]
																												UpperCAmelCase :       List[str] 							=		neighborhood[index_of_best_solution][best_cost_index]
																												if cost < best_cost:
																																			UpperCAmelCase :       Any 							=		cost
																																			UpperCAmelCase :       int 							=		solution
																					else:
																												UpperCAmelCase :       Tuple 							=		index_of_best_solution + 1
																												UpperCAmelCase :       str 							=		neighborhood[index_of_best_solution]

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

														UpperCAmelCase :       Optional[int] 							=		count + 1

							return best_solution_ever, best_cost


def  snake_case_     (					_lowerCAmelCase  :						Union[str, Any]=None  )      ->   Tuple:
							UpperCAmelCase :       Optional[int] 							=		generate_neighbours(args.File  )

							UpperCAmelCase							,		UpperCAmelCase :       Any 							=		generate_first_solution(
							    args.File   ,      _lowerCAmelCase  )

							UpperCAmelCase							,		UpperCAmelCase :       Union[str, Any] 							=		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[Any]								=			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'''






from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Optional[int] 							=		tau * frequency / samplerate
							UpperCAmelCase :       List[Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       int 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       Any 							=		(1 - _cos) / 2
							UpperCAmelCase :       List[Any] 							=		1 - _cos

							UpperCAmelCase :       Union[str, Any] 							=		1 + alpha
							UpperCAmelCase :       Any 							=		-2 * _cos
							UpperCAmelCase :       Dict 							=		1 - alpha

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Any 							=		tau * frequency / samplerate
							UpperCAmelCase :       Tuple 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Tuple 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Dict 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       int 							=		(1 + _cos) / 2
							UpperCAmelCase :       List[Any] 							=		-1 - _cos

							UpperCAmelCase :       Tuple 							=		1 + alpha
							UpperCAmelCase :       List[str] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha

							UpperCAmelCase :       Tuple 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       Optional[int] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Optional[int] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Tuple 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[int] 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       Union[str, Any] 							=		_sin / 2
							UpperCAmelCase :       Any 							=		0
							UpperCAmelCase :       int 							=		-ba

							UpperCAmelCase :       Optional[Any] 							=		1 + alpha
							UpperCAmelCase :       List[Any] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha

							UpperCAmelCase :       int 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )  )      ->   IIRFilter:
							UpperCAmelCase :       List[str] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       str 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[Any] 							=		_sin / (2 * q_factor)

							UpperCAmelCase :       List[str] 							=		1 - alpha
							UpperCAmelCase :       Any 							=		-2 * _cos
							UpperCAmelCase :       Optional[int] 							=		1 + alpha

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([ba, ba, ba]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       Optional[Any] 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Optional[int] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Dict 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       str 							=		10 ** (gain_db / 40)

							UpperCAmelCase :       int 							=		1 + alpha * big_a
							UpperCAmelCase :       Union[str, Any] 							=		-2 * _cos
							UpperCAmelCase :       Optional[Any] 							=		1 - alpha * big_a
							UpperCAmelCase :       Union[str, Any] 							=		1 + alpha / big_a
							UpperCAmelCase :       Tuple 							=		-2 * _cos
							UpperCAmelCase :       Any 							=		1 - alpha / big_a

							UpperCAmelCase :       Optional[Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt


def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       Any 							=		tau * frequency / samplerate
							UpperCAmelCase :       Optional[int] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Union[str, Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       str 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       List[str] 							=		10 ** (gain_db / 40)
							UpperCAmelCase :       Optional[int] 							=		(big_a + 1) - (big_a - 1) * _cos
							UpperCAmelCase :       int 							=		(big_a + 1) + (big_a - 1) * _cos
							UpperCAmelCase :       int 							=		(big_a - 1) - (big_a + 1) * _cos
							UpperCAmelCase :       Optional[int] 							=		(big_a - 1) + (big_a + 1) * _cos
							UpperCAmelCase :       str 							=		2 * sqrt(_lowerCAmelCase  ) * alpha

							UpperCAmelCase :       Dict 							=		big_a * (pmc + aaa)
							UpperCAmelCase :       Any 							=		2 * big_a * mpc
							UpperCAmelCase :       Union[str, Any] 							=		big_a * (pmc - aaa)
							UpperCAmelCase :       Optional[int] 							=		ppmc + aaa
							UpperCAmelCase :       Optional[Any] 							=		-2 * pmpc
							UpperCAmelCase :       Optional[Any] 							=		ppmc - aaa

							UpperCAmelCase :       int 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt




def  snake_case_     (					_lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						float   ,      _lowerCAmelCase  :						float = 1 / sqrt(2  )   ,      )      ->   IIRFilter:
							UpperCAmelCase :       int 							=		tau * frequency / samplerate
							UpperCAmelCase :       Union[str, Any] 							=		sin(_lowerCAmelCase  )
							UpperCAmelCase :       Union[str, Any] 							=		cos(_lowerCAmelCase  )
							UpperCAmelCase :       Any 							=		_sin / (2 * q_factor)
							UpperCAmelCase :       int 							=		10 ** (gain_db / 40)
							UpperCAmelCase :       List[str] 							=		(big_a + 1) - (big_a - 1) * _cos
							UpperCAmelCase :       Union[str, Any] 							=		(big_a + 1) + (big_a - 1) * _cos
							UpperCAmelCase :       Optional[Any] 							=		(big_a - 1) - (big_a + 1) * _cos
							UpperCAmelCase :       Union[str, Any] 							=		(big_a - 1) + (big_a + 1) * _cos
							UpperCAmelCase :       List[str] 							=		2 * sqrt(_lowerCAmelCase  ) * alpha

							UpperCAmelCase :       Any 							=		big_a * (ppmc + aaa)
							UpperCAmelCase :       str 							=		-2 * big_a * pmpc
							UpperCAmelCase :       List[Any] 							=		big_a * (ppmc - aaa)
							UpperCAmelCase :       Optional[Any] 							=		pmc + aaa
							UpperCAmelCase :       Any 							=		2 * mpc
							UpperCAmelCase :       str 							=		pmc - aaa

							UpperCAmelCase :       Union[str, Any] 							=		IIRFilter(2  )
							filt.set_coefficients([aa, aa, aa]   ,      [ba, ba, ba]  )
							return filt





