
'''simple docstring'''




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
      from PIL import Image





class  A				(							__snake_case						):
     __magic_name__						=		'''Salesforce/blip-image-captioning-base'''
     __magic_name__						=		(
         '''This is a tool that generates a description of an image. It takes an input named `image` which should be the '''
         '''image to caption, and returns a text that contains the description in English.'''
     )
     __magic_name__						=		'''image_captioner'''
     __magic_name__						=		AutoModelForVisionaSeq

     __magic_name__						=		['''image''']
     __magic_name__						=		['''text''']





     def __init__(							self						,			*SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	) ->				List[str]:






         """simple docstring"""






         requires_backends(self						,			['''vision''']	)
         super().__init__(*SCREAMING_SNAKE_CASE						,			**SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Optional[Any]:






         """simple docstring"""






         return self.pre_processor(images=SCREAMING_SNAKE_CASE						,			return_tensors='''pt'''	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Optional[int]:






         """simple docstring"""






         return self.model.generate(**SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				str:






         """simple docstring"""






         return self.pre_processor.batch_decode(SCREAMING_SNAKE_CASE						,			skip_special_tokens=SCREAMING_SNAKE_CASE	)[0].strip()






'''simple docstring'''







import argparse
import copy
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       {}

						with open(__SCREAMING_SNAKE_CASE							) as f:
												for line in f:
																		if line.split()[0] not in dict_of_neighbours:
																								lowercase_	:     Union[str, Any]													=       []
																								_list.append([line.split()[1], line.split()[2]]							)
																								lowercase_	:     str													=       _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_	:     Optional[int]													=       []
																								_list.append([line.split()[0], line.split()[2]]							)
																								lowercase_	:     Dict													=       _list
																		else:
																								dict_of_neighbours[line.split()[1]].append(
																								    [line.split()[0], line.split()[2]]							)

						return dict_of_neighbours
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: str      ,      __SCREAMING_SNAKE_CASE					: Tuple							):



						"""simple docstring"""





						with open(__SCREAMING_SNAKE_CASE							) as f:
												lowercase_	:     List[str]													=       f.read(1							)
						lowercase_	:     Optional[int]													=       start_node

						lowercase_	:     Any													=       []

						lowercase_	:     List[str]													=       start_node

						lowercase_	:     Optional[Any]													=       0
						while visiting not in first_solution:
												lowercase_	:     Any													=       10000
												for k in dict_of_neighbours[visiting]:
																		if int(k[1]							) < int(__SCREAMING_SNAKE_CASE							) and k[0] not in first_solution:
																								lowercase_	:     List[Any]													=       k[1]
																								lowercase_	:     List[Any]													=       k[0]

												first_solution.append(__SCREAMING_SNAKE_CASE							)
												lowercase_	:     Optional[Any]													=       distance_of_first_solution + int(__SCREAMING_SNAKE_CASE							)
												lowercase_	:     int													=       best_node

						first_solution.append(__SCREAMING_SNAKE_CASE							)

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

						lowercase_	:     Optional[Any]													=       (
						    distance_of_first_solution
						    + int(dict_of_neighbours[first_solution[-2]][position][1]							)
						    - 10000
						)
						return first_solution, distance_of_first_solution
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[Any]      ,      __SCREAMING_SNAKE_CASE					: Union[str, Any]							):



						"""simple docstring"""





						lowercase_	:     Tuple													=       []

						for n in solution[1:-1]:
												lowercase_	:     List[str]													=       solution.index(__SCREAMING_SNAKE_CASE							)
												for kn in solution[1:-1]:
																		lowercase_	:     Any													=       solution.index(__SCREAMING_SNAKE_CASE							)
																		if n == kn:
																								continue

																		lowercase_	:     Dict													=       copy.deepcopy(__SCREAMING_SNAKE_CASE							)
																		lowercase_	:     Dict													=       kn
																		lowercase_	:     List[Any]													=       n

																		lowercase_	:     str													=       0

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

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

						lowercase_	:     Union[str, Any]													=       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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Tuple      ,      __SCREAMING_SNAKE_CASE					: List[Any]      ,      __SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[Any]							):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       1
						lowercase_	:     List[str]													=       first_solution
						lowercase_	:     Dict													=       []
						lowercase_	:     List[str]													=       distance_of_first_solution
						lowercase_	:     Optional[Any]													=       solution

						while count <= iters:
												lowercase_	:     int													=       find_neighborhood(__SCREAMING_SNAKE_CASE      ,      __SCREAMING_SNAKE_CASE							)
												lowercase_	:     Any													=       0
												lowercase_	:     Dict													=       neighborhood[index_of_best_solution]
												lowercase_	:     Optional[Any]													=       len(__SCREAMING_SNAKE_CASE							) - 1

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

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

												lowercase_	:     List[Any]													=       count + 1

						return best_solution_ever, best_cost
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List[str]=None							):



						"""simple docstring"""





						lowercase_	:     Any													=       generate_neighbours(args.File							)

						lowercase_						, lowercase_	:     Union[str, Any]													=       generate_first_solution(
						    args.File      ,      __SCREAMING_SNAKE_CASE							)

						lowercase_						, lowercase_	:     Optional[int]													=       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__":
							_lowercase :  Any    							=       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())



