



import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
_snake_case		=  "src/diffusers"

# Matches is_xxx_available()
_snake_case		=  re.compile(R"is\_([a-z_]*)_available\(\)")
# Matches from xxx import bla
_snake_case		=  re.compile(R"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")


_snake_case		=  "\n{0} = None\n"

_snake_case		=  "\nclass {0}(metaclass=DummyObject):\n    _backends = {1}\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, {1})\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, {1})\n"


_snake_case		=  "\ndef {0}(*args, **kwargs):\n    requires_backends({0}, {1})\n"






def 				A				(					_lowerCamelCase  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Tuple    =    _re_backend.findall(_lowerCamelCase  )
							if len(_lowerCamelCase  ) == 0:
														return None

							return "_and_".join(_lowerCamelCase  )






def 				A				(					):





							'''simple docstring'''




							with open(os.path.join(_lowerCamelCase				, "__init__.py"  )				, "r"				, encoding="utf-8"				, newline="\n"  ) as f:
														_lowerCAmelCase     :							int    =    f.readlines()

							# Get to the point we do the actual imports for type checking
							_lowerCAmelCase     :							Dict    =    0
							_lowerCAmelCase     :							Optional[int]    =    {}
							# Go through the end of the file
							while line_index < len(_lowerCamelCase  ):
														# If the line contains is_backend_available, we grab all objects associated with the `else` block
														_lowerCAmelCase     :							str    =    find_backend(lines[line_index]  )
														if backend is not None:
																					while not lines[line_index].startswith("else:"  ):
																												line_index += 1
																					line_index += 1
																					_lowerCAmelCase     :							Tuple    =    []
																					# Until we unindent, add backend objects to the list
																					while line_index < len(_lowerCamelCase  ) and len(lines[line_index]  ) > 1:
																												_lowerCAmelCase     :							List[Any]    =    lines[line_index]
																												_lowerCAmelCase     :							Optional[Any]    =    _re_single_line_import.search(_lowerCamelCase  )
																												if single_line_import_search is not None:
																																			objects.extend(single_line_import_search.groups()[0].split(", "  )  )
																												elif line.startswith(" " * 8  ):
																																			objects.append(line[8:-2]  )
																												line_index += 1

																					if len(_lowerCamelCase  ) > 0:
																												_lowerCAmelCase     :							List[Any]    =    objects
														else:
																					line_index += 1

							return backend_specific_objects






def 				A				(					_lowerCamelCase				, _lowerCamelCase  ):





							'''simple docstring'''




							if name.isupper():
														return DUMMY_CONSTANT.format(_lowerCamelCase  )
							elif name.islower():
														return DUMMY_FUNCTION.format(_lowerCamelCase				, _lowerCamelCase  )
							else:
														return DUMMY_CLASS.format(_lowerCamelCase				, _lowerCamelCase  )






def 				A				(					_lowerCamelCase=None  ):





							'''simple docstring'''




							if backend_specific_objects is None:
														_lowerCAmelCase     :							Tuple    =    read_init()
							# For special correspondence backend to module name as used in the function requires_modulename
							_lowerCAmelCase     :							List[Any]    =    {}

							for backend, objects in backend_specific_objects.items():
														_lowerCAmelCase     :							int    =    "[" + ", ".join(F"\"{b}\"" for b in backend.split("_and_"  )  ) + "]"
														_lowerCAmelCase     :							int    =    "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
														dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
														dummy_file += "\n".join([create_dummy_object(_lowerCamelCase				, _lowerCamelCase  ) for o in objects]  )
														_lowerCAmelCase     :							Dict    =    dummy_file

							return dummy_files






def 				A				(					_lowerCamelCase=False  ):





							'''simple docstring'''




							_lowerCAmelCase     :							Union[str, Any]    =    create_dummy_files()
							# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
							_lowerCAmelCase     :							Union[str, Any]    =    {"torch": "pt"}

							# Locate actual dummy modules and read their content.
							_lowerCAmelCase     :							Optional[int]    =    os.path.join(_lowerCamelCase				, "utils"  )
							_lowerCAmelCase     :							Tuple    =    {
							    backend: os.path.join(_lowerCamelCase				, F"dummy_{short_names.get(_lowerCamelCase				, _lowerCamelCase  )}_objects.py"  )
							    for backend in dummy_files.keys()
							}

							_lowerCAmelCase     :							Tuple    =    {}
							for backend, file_path in dummy_file_paths.items():
														if os.path.isfile(_lowerCamelCase  ):
																					with open(_lowerCamelCase				, "r"				, encoding="utf-8"				, newline="\n"  ) as f:
																												_lowerCAmelCase     :							Dict    =    f.read()
														else:
																					_lowerCAmelCase     :							Any    =    ""

							for backend in dummy_files.keys():
														if dummy_files[backend] != actual_dummies[backend]:
																					if overwrite:
																												print(
																												    F"Updating diffusers.utils.dummy_{short_names.get(_lowerCamelCase				, _lowerCamelCase  )}_objects.py as the main "
																												    "__init__ has new objects."  )
																												with open(dummy_file_paths[backend]				, "w"				, encoding="utf-8"				, newline="\n"  ) as f:
																																			f.write(dummy_files[backend]  )
																					else:
																												raise ValueError(
																												    "The main __init__ has objects that are not present in "
																												    F"diffusers.utils.dummy_{short_names.get(_lowerCamelCase				, _lowerCamelCase  )}_objects.py. Run `make fix-copies` "
																												    "to fix this."  )


if __name__ == "__main__":
						_snake_case		=  argparse.ArgumentParser()
						parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
						_snake_case		=  parser.parse_args()

						check_dummies(args.fix_and_overwrite)





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())
