




import argparse
import copy



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]    )						->      List[str]:





    """simple docstring"""

    __A         =	{}

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

    return dict_of_neighbours



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str			,				__lowercase   :			Any    )						->      str:





    """simple docstring"""

    with open(snake_case__    ) as f:
        __A         =	f.read(1    )
    __A         =	start_node

    __A         =	[]

    __A         =	start_node

    __A         =	0
    while visiting not in first_solution:
        __A         =	1_0_0_0_0
        for k in dict_of_neighbours[visiting]:
            if int(k[1]    ) < int(snake_case__    ) and k[0] not in first_solution:
                __A         =	k[1]
                __A         =	k[0]

        first_solution.append(snake_case__    )
        __A         =	distance_of_first_solution + int(snake_case__    )
        __A         =	best_node

    first_solution.append(snake_case__    )

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

    __A         =	(
        distance_of_first_solution
        + int(dict_of_neighbours[first_solution[-2]][position][1]    )
        - 1_0_0_0_0
    )
    return first_solution, distance_of_first_solution



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      int:





    """simple docstring"""

    __A         =	[]

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

            __A         =	copy.deepcopy(snake_case__    )
            __A         =	kn
            __A         =	n

            __A         =	0

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

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

    __A         =	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 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple			,				__lowercase   :			Union[str, Any]			,				__lowercase   :			Union[str, Any]			,				__lowercase   :			Any			,				__lowercase   :			List[str]    )						->      List[str]:





    """simple docstring"""

    __A         =	1
    __A         =	first_solution
    __A         =	[]
    __A         =	distance_of_first_solution
    __A         =	solution

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

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

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

        __A         =	count + 1

    return best_solution_ever, best_cost



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]=None    )						->      Optional[Any]:





    """simple docstring"""

    __A         =	generate_neighbours(args.File    )

    __A    ,	__A         =	generate_first_solution(
        args.File			,				snake_case__    )

    __A    ,	__A         =	tabu_search(
        snake_case__			,				snake_case__			,				snake_case__			,				args.Iterations			,				args.Size			,				)

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


if __name__ == "__main__":
  __a      :       Dict				  =   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 decimal import Decimal
from math import *  # noqa: F403

from sympy import diff



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str			,				__lowercase   :			float | Decimal			,				__lowercase   :			float = 1_0**-1_0    )						->      float:





    """simple docstring"""

    __A         =	a
    while True:
        __A         =	Decimal(__lowercase    ) - (
            Decimal(eval(__lowercase    )    ) / Decimal(eval(str(diff(__lowercase    )    )    )    )  # noqa: S307
        )
        # This number dictates the accuracy of the answer
        if abs(eval(__lowercase    )    ) < precision:  # noqa: S307
            return float(__lowercase    )


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(f"""The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}""")
  # Find root of polynomial
  print(f"""The root of x**2 - 5*x + 2 = 0 is {newton_raphson('x**2 - 5*x + 2', 0.4)}""")
  # Find Square Root of 5
  print(f"""The root of log(x) - 1 = 0 is {newton_raphson('log(x) - 1', 2)}""")
  # Exponential Roots
  print(f"""The root of exp(x) - 1 = 0 is {newton_raphson('exp(x) - 1', 0)}""")




