





import re

from ..models.auto import AutoProcessor
from ..models.vision_encoder_decoder import VisionEncoderDecoderModel
from ..utils import is_vision_available
from .base import PipelineTool


if is_vision_available():
							from PIL import Image






class        _a(    __A    ):
		lowerCamelCase__     :Optional[int]   				=		'naver-clova-ix/donut-base-finetuned-docvqa'
		lowerCamelCase__     :Union[str, Any]   				=		(
		    'This is a tool that answers a question about an document (pdf). It takes an input named `document` which '
		    'should be the document containing the information, as well as a `question` that is the question about the '
		    'document. It returns a text that contains the answer to the question.'
		)
		lowerCamelCase__     :List[str]   				=		'document_qa'
		lowerCamelCase__     :Optional[int]   				=		AutoProcessor
		lowerCamelCase__     :List[str]   				=		VisionEncoderDecoderModel

		lowerCamelCase__     :str   				=		['image', 'text']
		lowerCamelCase__     :List[Any]   				=		['text']







		def __init__(    self ,						*__snake_case ,						**__snake_case				)      ->      Optional[int]:


							'''simple docstring'''

							if not is_vision_available():
												raise ValueError("Pillow must be installed to use the DocumentQuestionAnsweringTool."				)

							super().__init__(*__snake_case ,						**__snake_case				)







		def        lowercase       (    self ,						__snake_case ,						__snake_case				)      ->      Tuple:


							'''simple docstring'''

							_snake_case       :					List[str]				       =   "<s_docvqa><s_question>{user_input}</s_question><s_answer>"
							_snake_case       :					List[Any]				       =   task_prompt.replace("{user_input}" ,						__snake_case				)
							_snake_case       :					List[str]				       =   self.pre_processor.tokenizer(
							    __snake_case ,						add_special_tokens=__snake_case ,						return_tensors="pt"				).input_ids
							_snake_case       :					int				       =   self.pre_processor(__snake_case ,						return_tensors="pt"				).pixel_values

							return {"decoder_input_ids": decoder_input_ids, "pixel_values": pixel_values}







		def        lowercase       (    self ,						__snake_case				)      ->      Dict:


							'''simple docstring'''

							return self.model.generate(
							    inputs["pixel_values"].to(self.device				) ,						decoder_input_ids=inputs["decoder_input_ids"].to(self.device				) ,						max_length=self.model.decoder.config.max_position_embeddings ,						early_stopping=__snake_case ,						pad_token_id=self.pre_processor.tokenizer.pad_token_id ,						eos_token_id=self.pre_processor.tokenizer.eos_token_id ,						use_cache=__snake_case ,						num_beams=1 ,						bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]] ,						return_dict_in_generate=__snake_case ,						).sequences







		def        lowercase       (    self ,						__snake_case				)      ->      Dict:


							'''simple docstring'''

							_snake_case       :					Dict				       =   self.pre_processor.batch_decode(__snake_case				)[0]
							_snake_case       :					Union[str, Any]				       =   sequence.replace(self.pre_processor.tokenizer.eos_token ,						""				)
							_snake_case       :					Tuple				       =   sequence.replace(self.pre_processor.tokenizer.pad_token ,						""				)
							_snake_case       :					Optional[Any]				       =   re.sub(r"<.*?>" ,						"" ,						__snake_case ,						count=1				).strip()  # remove first task start token
							_snake_case       :					Any				       =   self.pre_processor.tokenajson(__snake_case				)

							return sequence["answer"]












def    A				(							UpperCAmelCase				):
					return str(UpperCAmelCase				) == str(UpperCAmelCase				)[::-1]







def    A				(							UpperCAmelCase				):
					return int(UpperCAmelCase				) + int(str(UpperCAmelCase				)[::-1]				)







def    A				(							UpperCAmelCase = 10_000				):
					_snake_case       :					Optional[int]				       =   []
					for num in range(1  ,  UpperCAmelCase				):
										_snake_case       :					Optional[Any]				       =   0
										_snake_case       :					Optional[int]				       =   num
										while iterations < 50:
															_snake_case       :					Optional[Any]				       =   sum_reverse(UpperCAmelCase				)
															iterations += 1
															if is_palindrome(UpperCAmelCase				):
																				break
										else:
															lychrel_nums.append(UpperCAmelCase				)
					return len(UpperCAmelCase				)


if __name__ == "__main__":
							print(F'''{solution() = }''')