


import argparse
import copy
def       _a			(				SCREAMING_SNAKE_CASE					):


  """simple docstring"""




  lowercase__						=				{}

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

  return dict_of_neighbours
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


  """simple docstring"""




  with open(SCREAMING_SNAKE_CASE					) as f:
    lowercase__						=				f.read(1					)
  lowercase__						=				start_node

  lowercase__						=				[]

  lowercase__						=				start_node

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

    first_solution.append(SCREAMING_SNAKE_CASE					)
    lowercase__						=				distance_of_first_solution + int(SCREAMING_SNAKE_CASE					)
    lowercase__						=				best_node

  first_solution.append(SCREAMING_SNAKE_CASE					)

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

  lowercase__						=				(
      distance_of_first_solution
      + int(dict_of_neighbours[first_solution[-2]][position][1]					)
      - 1_00_00
  )
  return first_solution, distance_of_first_solution
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


  """simple docstring"""




  lowercase__						=				[]

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

      lowercase__						=				copy.deepcopy(SCREAMING_SNAKE_CASE					)
      lowercase__						=				kn
      lowercase__						=				n

      lowercase__						=				0

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

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

  lowercase__						=				len(neighborhood_of_solution[0]					) - 1

  neighborhood_of_solution.sort(key=lambda SCREAMING_SNAKE_CASE					: x[index_of_last_item_in_the_list]					)
  return neighborhood_of_solution
def       _a			(				SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					):


  """simple docstring"""




  lowercase__						=				1
  lowercase__						=				first_solution
  lowercase__						=				[]
  lowercase__						=				distance_of_first_solution
  lowercase__						=				solution

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

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

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

    lowercase__						=				count + 1

  return best_solution_ever, best_cost
def       _a			(				SCREAMING_SNAKE_CASE=None					):


  """simple docstring"""




  lowercase__						=				generate_neighbours(args.File					)

  lowercase__					,		lowercase__						=				generate_first_solution(
      args.File						,    SCREAMING_SNAKE_CASE					)

  lowercase__					,		lowercase__						=				tabu_search(
      SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    args.Iterations						,    args.Size						,    )

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


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






from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass


@dataclass
class 	_a							:
							_lowercase     :      int
							_lowercase     :      TreeNode | None  				=			None
							_lowercase     :      TreeNode | None  				=			None
lowerCAmelCase	=							namedtuple('CoinsDistribResult', 'moves excess')
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		if root is None:
				return 0

		# Validation
		def count_nodes(SCREAMING_SNAKE_CASE					) -> int:
				if node is None:
						return 0

				return count_nodes(node.left					) + count_nodes(node.right					) + 1

		def count_coins(SCREAMING_SNAKE_CASE					) -> int:
				if node is None:
						return 0

				return count_coins(node.left					) + count_coins(node.right					) + node.data

		if count_nodes(SCREAMING_SNAKE_CASE					) != count_coins(SCREAMING_SNAKE_CASE					):
				raise ValueError('''The nodes number should be same as the number of coins'''					)

		# Main calculation
		def get_distrib(SCREAMING_SNAKE_CASE					) -> CoinsDistribResult:

				if node is None:
						return CoinsDistribResult(0						,    1					)

				lowercase__					,		lowercase__						=				get_distrib(node.left					)
				lowercase__					,		lowercase__						=				get_distrib(node.right					)

				lowercase__						=				1 - left_distrib_excess
				lowercase__						=				1 - right_distrib_excess

				lowercase__						=				(
				    left_distrib_moves
				    + right_distrib_moves
				    + abs(SCREAMING_SNAKE_CASE					)
				    + abs(SCREAMING_SNAKE_CASE					)
				)
				lowercase__						=				node.data - coins_to_left - coins_to_right

				return CoinsDistribResult(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE					)

		return get_distrib(SCREAMING_SNAKE_CASE					)[0]


if __name__ == "__main__":
			import doctest

			doctest.testmod()


