




from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
			import torch

if is_vision_available():
			from PIL import Image


UpperCAmelCase__				     = ["text", "image", "audio"]







def 		_A(       UpperCamelCase__							:			List[str]				)    -> Any:
							'''simple docstring'''


							__lowercase      =    []

							for input_type in input_types:
														if input_type == "text":
																					inputs.append('''Text input'''				)
														elif input_type == "image":
																					inputs.append(
																					    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''				).resize((512, 512)				)				)
														elif input_type == "audio":
																					inputs.append(torch.ones(3000				)				)
														elif isinstance(UpperCamelCase__				,       UpperCamelCase__				):
																					inputs.append(create_inputs(UpperCamelCase__				)				)
														else:
																					raise ValueError(F'Invalid type requested: {input_type}'				)

							return inputs







def 		_A(       UpperCamelCase__							:			List				)    -> Dict:
							'''simple docstring'''


							__lowercase      =    []

							for output in outputs:
														if isinstance(UpperCamelCase__				,       (str, AgentText)				):
																					output_types.append('''text'''				)
														elif isinstance(UpperCamelCase__				,       (Image.Image, AgentImage)				):
																					output_types.append('''image'''				)
														elif isinstance(UpperCamelCase__				,       (torch.Tensor, AgentAudio)				):
																					output_types.append('''audio'''				)
														else:
																					raise ValueError(F'Invalid output: {output}'				)

							return output_types







@is_tool_test
class a :
						"""simple docstring"""

						def     UpperCAmelCase_      ( self :     List[Any]				)    ->						List[str]:
													"""simple docstring"""


													self.assertTrue(hasattr(self.tool				,							'''inputs'''				)				)
													self.assertTrue(hasattr(self.tool				,							'''outputs'''				)				)

													__lowercase      =    self.tool.inputs
													for _input in inputs:
																				if isinstance(_input				,							lowerCamelCase__				):
																											for __input in _input:
																																		self.assertTrue(__input in authorized_types				)
																				else:
																											self.assertTrue(_input in authorized_types				)

													__lowercase      =    self.tool.outputs
													for _output in outputs:
																				self.assertTrue(_output in authorized_types				)






						def     UpperCAmelCase_      ( self :     List[str]				)    ->						Union[str, Any]:
													"""simple docstring"""


													__lowercase      =    create_inputs(self.tool.inputs				)
													__lowercase      =    self.tool(*lowerCamelCase__				)

													# There is a single output
													if len(self.tool.outputs				) == 1:
																				__lowercase      =    [outputs]

													self.assertListEqual(output_types(lowerCamelCase__				)				,							self.tool.outputs				)






						def     UpperCAmelCase_      ( self :     Any				)    ->						Optional[int]:
													"""simple docstring"""


													self.assertTrue(hasattr(self.tool				,							'''description'''				)				)
													self.assertTrue(hasattr(self.tool				,							'''default_checkpoint'''				)				)
													self.assertTrue(self.tool.description.startswith('''This is a tool that'''				)				)






						def     UpperCAmelCase_      ( self :     int				)    ->						List[str]:
													"""simple docstring"""


													__lowercase      =    create_inputs(self.tool.inputs				)
													__lowercase      =    self.tool(*lowerCamelCase__				)

													if not isinstance(lowerCamelCase__				,							lowerCamelCase__				):
																				__lowercase      =    [outputs]

													self.assertEqual(len(lowerCamelCase__				)				,							len(self.tool.outputs				)				)

													for output, output_type in zip(lowerCamelCase__				,							self.tool.outputs				):
																				__lowercase      =    AGENT_TYPE_MAPPING[output_type]
																				self.assertTrue(isinstance(lowerCamelCase__				,							lowerCamelCase__				)				)






						def     UpperCAmelCase_      ( self :     Dict				)    ->						Tuple:
													"""simple docstring"""


													__lowercase      =    create_inputs(self.tool.inputs				)

													__lowercase      =    []

													for _input, input_type in zip(lowerCamelCase__				,							self.tool.inputs				):
																				if isinstance(lowerCamelCase__				,							lowerCamelCase__				):
																											_inputs.append([AGENT_TYPE_MAPPING[_input_type](_input				) for _input_type in input_type]				)
																				else:
																											_inputs.append(AGENT_TYPE_MAPPING[input_type](_input				)				)

        # Should not raise an error
													__lowercase      =    self.tool(*lowerCamelCase__				)

													if not isinstance(lowerCamelCase__				,							lowerCamelCase__				):
																				__lowercase      =    [outputs]

													self.assertEqual(len(lowerCamelCase__				)				,							len(self.tool.outputs				)				)












import argparse
import copy







def 		_A(       UpperCamelCase__							:			Union[str, Any]				)    -> Tuple:
							'''simple docstring'''


							__lowercase      =    {}

							with open(UpperCamelCase__				) 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(       UpperCamelCase__							:			Optional[int]				,       UpperCamelCase__							:			Optional[Any]				)    -> Dict:
							'''simple docstring'''


							with open(UpperCamelCase__				) as f:
														__lowercase      =    f.read(1				)
							__lowercase      =    start_node

							__lowercase      =    []

							__lowercase      =    start_node

							__lowercase      =    0
							while visiting not in first_solution:
														__lowercase      =    1_0000
														for k in dict_of_neighbours[visiting]:
																					if int(k[1]				) < int(UpperCamelCase__				) and k[0] not in first_solution:
																												__lowercase      =    k[1]
																												__lowercase      =    k[0]

														first_solution.append(UpperCamelCase__				)
														__lowercase      =    distance_of_first_solution + int(UpperCamelCase__				)
														__lowercase      =    best_node

							first_solution.append(UpperCamelCase__				)

							__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_0000
							)
							return first_solution, distance_of_first_solution







def 		_A(       UpperCamelCase__							:			int				,       UpperCamelCase__							:			Optional[Any]				)    -> Optional[int]:
							'''simple docstring'''


							__lowercase      =    []

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

																					__lowercase      =    copy.deepcopy(UpperCamelCase__				)
																					__lowercase      =    kn
																					__lowercase      =    n

																					__lowercase      =    0

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

																					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 UpperCamelCase__				: x[index_of_last_item_in_the_list]				)
							return neighborhood_of_solution







def 		_A(       UpperCamelCase__							:			List[Any]				,       UpperCamelCase__							:			List[str]				,       UpperCamelCase__							:			Optional[int]				,       UpperCamelCase__							:			Optional[int]				,       UpperCamelCase__							:			Optional[int]				)    -> List[str]:
							'''simple docstring'''


							__lowercase      =    1
							__lowercase      =    first_solution
							__lowercase      =    []
							__lowercase      =    distance_of_first_solution
							__lowercase      =    solution

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

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

														__lowercase      =    count + 1

							return best_solution_ever, best_cost







def 		_A(       UpperCamelCase__							:			List[Any]=None				)    -> int:
							'''simple docstring'''


							__lowercase      =    generate_neighbours(args.File				)

							__lowercase     ,     __lowercase      =    generate_first_solution(
							    args.File				,       UpperCamelCase__				)

							__lowercase     ,     __lowercase      =    tabu_search(
							    UpperCamelCase__				,       UpperCamelCase__				,       UpperCamelCase__				,       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())






