"""simple docstring"""


import argparse
import copy






def     __UpperCAmelCase					(			lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      {}

  with open(lowercase		) 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     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""

  with open(lowercase		) 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(lowercase		) and k[0] not in first_solution:
        _UpperCAmelCase						 =      k[1]
        _UpperCAmelCase						 =      k[0]

    first_solution.append(lowercase		)
    _UpperCAmelCase						 =      distance_of_first_solution + int(lowercase		)
    _UpperCAmelCase						 =      best_node

  first_solution.append(lowercase		)

  _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     __UpperCAmelCase					(			lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      []

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

      _UpperCAmelCase						 =      copy.deepcopy(lowercase		)
      _UpperCAmelCase						 =      kn
      _UpperCAmelCase						 =      n

      _UpperCAmelCase						 =      0

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

      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 lowercase		: x[index_of_last_item_in_the_list]		)
  return neighborhood_of_solution






def     __UpperCAmelCase					(			lowercase   ,lowercase   ,lowercase   ,lowercase   ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase						 =      1
  _UpperCAmelCase						 =      first_solution
  _UpperCAmelCase						 =      []
  _UpperCAmelCase						 =      distance_of_first_solution
  _UpperCAmelCase						 =      solution

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

    _UpperCAmelCase						 =      False
    while not found:
      _UpperCAmelCase						 =      0
      while i < len(lowercase		):
        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(lowercase		) >= size:
      tabu_list.pop(0		)

    _UpperCAmelCase						 =      count + 1

  return best_solution_ever, best_cost






def     __UpperCAmelCase					(			lowercase=None		):







  """simple docstring"""
  _UpperCAmelCase						 =      generate_neighbours(args.File		)

  _UpperCAmelCase ,				_UpperCAmelCase						 =      generate_first_solution(
      args.File   ,lowercase		)

  _UpperCAmelCase ,				_UpperCAmelCase						 =      tabu_search(
      lowercase   ,lowercase   ,lowercase   ,args.Iterations   ,args.Size   ,)

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


if __name__ == "__main__":
    UpperCAmelCase__  		=						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 warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


UpperCAmelCase__  		=						logging.get_logger(__name__)


class        a				(		lowerCAmelCase_   ):


    def __init__(					self	:  int   ,				*__lowerCAmelCase	:  List[str]   ,				**__lowerCAmelCase	:  List[str]					):
      warnings.warn(
          """The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
          """ Please use ChineseCLIPImageProcessor instead."""   ,				__lowerCAmelCase   ,				)
      super().__init__(*__lowerCAmelCase   ,				**__lowerCAmelCase					)
