

'''simple docstring'''
import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


_snake_case     =  logging.get_logger(__name__)







def 					_A		(	snake_case		,							snake_case     )			->	str:
   _lowercase			:      Tuple			     =   set()
   _lowercase			:      int			     =   []

   def parse_line(snake_case     ):
      for line in fp:
         if isinstance(_lowerCamelCase		,							_lowerCamelCase     ):
            _lowercase			:      List[str]			     =   line.decode("UTF-8"     )
         if "warnings summary (final)" in line:
            continue
         # This means we are outside the body of a warning
         elif not line.startswith(" "     ):
            # process a single warning and move it to `selected_warnings`.
            if len(_lowerCamelCase     ) > 0:
               _lowercase			:      Any			     =   "\n".join(_lowerCamelCase     )
               # Only keep the warnings specified in `targets`
               if any(F''': {x}: ''' in warning for x in targets     ):
                  selected_warnings.add(_lowerCamelCase     )
               buffer.clear()
            continue
         else:
            _lowercase			:      Tuple			     =   line.strip()
            buffer.append(_lowerCamelCase     )

   if from_gh:
      for filename in os.listdir(_lowerCamelCase     ):
         _lowercase			:      Dict			     =   os.path.join(_lowerCamelCase		,							_lowerCamelCase     )
         if not os.path.isdir(_lowerCamelCase     ):
            # read the file
            if filename != "warnings.txt":
               continue
            with open(_lowerCamelCase     ) as fp:
               parse_line(_lowerCamelCase     )
   else:
      try:
         with zipfile.ZipFile(_lowerCamelCase     ) as z:
            for filename in z.namelist():
               if not os.path.isdir(_lowerCamelCase     ):
                  # read the file
                  if filename != "warnings.txt":
                     continue
                  with z.open(_lowerCamelCase     ) as fp:
                     parse_line(_lowerCamelCase     )
      except Exception:
         logger.warning(
             F'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''     )

   return selected_warnings







def 					_A		(	snake_case		,							snake_case     )			->	int:
   _lowercase			:      Optional[Any]			     =   set()

   _lowercase			:      List[str]			     =   [os.path.join(_lowerCamelCase		,							_lowerCamelCase     ) for p in os.listdir(_lowerCamelCase     ) if (p.endswith(".zip"     ) or from_gh)]
   for p in paths:
      selected_warnings.update(extract_warnings_from_single_artifact(_lowerCamelCase		,							_lowerCamelCase     )     )

   return selected_warnings


if __name__ == "__main__":







    def 					_A		(	snake_case     )			->	Dict:
       return values.split(","     )

    _snake_case     =  argparse.ArgumentParser()
    # Required parameters
    parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
    parser.add_argument(
        '--output_dir',
        type=str,
        required=True,
        help='Where to store the downloaded artifacts and other result files.',
    )
    parser.add_argument('--token', default=None, type=str, help='A token that has actions:read permission.')
    # optional parameters
    parser.add_argument(
        '--targets',
        default='DeprecationWarning,UserWarning,FutureWarning',
        type=list_str,
        help='Comma-separated list of target warning(s) which we want to extract.',
    )
    parser.add_argument(
        '--from_gh',
        action='store_true',
        help='If running from a GitHub action workflow and collecting warnings from its artifacts.',
    )

    _snake_case     =  parser.parse_args()

    _snake_case     =  args.from_gh
    if from_gh:
        # The artifacts have to be downloaded using `actions/download-artifact@v3`
        pass
    else:
        os.makedirs(args.output_dir, exist_ok=True)

        # get download links
        _snake_case     =  get_artifacts_links(args.workflow_run_id, token=args.token)
        with open(os.path.join(args.output_dir, 'artifacts.json'), 'w', encoding='UTF-8') as fp:
            json.dump(artifacts, fp, ensure_ascii=False, indent=4)

        # download artifacts
        for idx, (name, url) in enumerate(artifacts.items()):
            print(name)
            print(url)
            print('=' * 80)
            download_artifact(name, url, args.output_dir, args.token)
            # Be gentle to GitHub
            time.sleep(1)

    # extract warnings from artifacts
    _snake_case     =  extract_warnings(args.output_dir, args.targets)
    _snake_case     =  sorted(selected_warnings)
    with open(os.path.join(args.output_dir, 'selected_warnings.json'), 'w', encoding='UTF-8') as fp:
        json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)











import argparse
import copy






def 				A				(					_lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							int    =    {}

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

							return dict_of_neighbours






def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							with open(_lowerCamelCase  ) as f:
														_lowerCAmelCase     :							str    =    f.read(1  )
							_lowerCAmelCase     :							str    =    start_node

							_lowerCAmelCase     :							List[str]    =    []

							_lowerCAmelCase     :							Any    =    start_node

							_lowerCAmelCase     :							str    =    0
							while visiting not in first_solution:
														_lowerCAmelCase     :							Dict    =    10_000
														for k in dict_of_neighbours[visiting]:
																					if int(k[1]  ) < int(_lowerCamelCase  ) and k[0] not in first_solution:
																												_lowerCAmelCase     :							List[str]    =    k[1]
																												_lowerCAmelCase     :							List[Any]    =    k[0]

														first_solution.append(_lowerCamelCase  )
														_lowerCAmelCase     :							Optional[int]    =    distance_of_first_solution + int(_lowerCamelCase  )
														_lowerCAmelCase     :							str    =    best_node

							first_solution.append(_lowerCamelCase  )

							_lowerCAmelCase     :							Union[str, Any]    =    0
							for k in dict_of_neighbours[first_solution[-2]]:
														if k[0] == start_node:
																					break
														position += 1

							_lowerCAmelCase     :							Tuple    =    (
							    distance_of_first_solution
							    + int(dict_of_neighbours[first_solution[-2]][position][1]  )
							    - 10_000
							)
							return first_solution, distance_of_first_solution






def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Tuple    =    []

							for n in solution[1:-1]:
														_lowerCAmelCase     :							Dict    =    solution.index(_lowerCamelCase  )
														for kn in solution[1:-1]:
																					_lowerCAmelCase     :							Dict    =    solution.index(_lowerCamelCase  )
																					if n == kn:
																												continue

																					_lowerCAmelCase     :							Optional[int]    =    copy.deepcopy(_lowerCamelCase  )
																					_lowerCAmelCase     :							int    =    kn
																					_lowerCAmelCase     :							Dict    =    n

																					_lowerCAmelCase     :							Optional[int]    =    0

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

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

							_lowerCAmelCase     :							List[Any]    =    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 				A				(					_lowerCamelCase				, _lowerCamelCase				, _lowerCamelCase				, _lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							List[str]    =    1
							_lowerCAmelCase     :							int    =    first_solution
							_lowerCAmelCase     :							Tuple    =    []
							_lowerCAmelCase     :							Tuple    =    distance_of_first_solution
							_lowerCAmelCase     :							Optional[int]    =    solution

							while count <= iters:
														_lowerCAmelCase     :							int    =    find_neighborhood(_lowerCamelCase				, _lowerCamelCase  )
														_lowerCAmelCase     :							Tuple    =    0
														_lowerCAmelCase     :							Dict    =    neighborhood[index_of_best_solution]
														_lowerCAmelCase     :							int    =    len(_lowerCamelCase  ) - 1

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

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

														_lowerCAmelCase     :							int    =    count + 1

							return best_solution_ever, best_cost






def 				A				(					_lowerCamelCase=None  ):





							'''simple docstring'''




							_lowerCAmelCase     :							int    =    generate_neighbours(args.File  )

							_lowerCAmelCase   ,    _lowerCAmelCase     :							List[str]    =    generate_first_solution(
							    args.File				, _lowerCamelCase  )

							_lowerCAmelCase   ,    _lowerCAmelCase     :							Any    =    tabu_search(
							    _lowerCamelCase				, _lowerCamelCase				, _lowerCamelCase				, args.Iterations				, args.Size				, )

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


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