






'''simple docstring'''
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        _UpperCAmelCase						(		snake_case			):
				__lowerCamelCase:   List[Any]		       =    'naver-clova-ix/donut-base-finetuned-docvqa'
				__lowerCamelCase:   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:   Tuple		       =    'document_qa'
				__lowerCamelCase:   List[Any]		       =    AutoProcessor
				__lowerCamelCase:   str		       =    VisionEncoderDecoderModel

				__lowerCamelCase:   List[Any]		       =    ['image', 'text']
				__lowerCamelCase:   Optional[int]		       =    ['text']




				def __init__(			self  :       Union[str, Any]  ,     *a  :       List[Any]  ,     **a  :       Tuple			):






							'''simple docstring'''






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

							super().__init__(*a  ,     **a			)




				def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       "Image"  ,     a  :       str			):






							'''simple docstring'''






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

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




				def 				lowerCAmelCase__				(			self  :       Any  ,     a  :       List[Any]			):






							'''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=a  ,     pad_token_id=self.pre_processor.tokenizer.pad_token_id  ,     eos_token_id=self.pre_processor.tokenizer.eos_token_id  ,     use_cache=a  ,     num_beams=1  ,     bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]]  ,     return_dict_in_generate=a  ,     ).sequences





				def 				lowerCAmelCase__				(			self  :       Any  ,     a  :       Union[str, Any]			):






							'''simple docstring'''






							lowercase_	:    Union[str, Any]           =     self.pre_processor.batch_decode(a			)[0]
							lowercase_	:    Optional[int]           =     sequence.replace(self.pre_processor.tokenizer.eos_token  ,     ""			)
							lowercase_	:    Optional[int]           =     sequence.replace(self.pre_processor.tokenizer.pad_token  ,     ""			)
							lowercase_	:    List[Any]           =     re.sub(R"<.*?>"  ,     ""  ,     a  ,     count=1			).strip()  # remove first task start token
							lowercase_	:    Union[str, Any]           =     self.pre_processor.tokenajson(a			)

							return sequence["answer"]












'''simple docstring'''
import heapq as hq
import math
from collections.abc import Iterator


class        _UpperCAmelCase						:




    def __init__(			self  :       Optional[Any]  ,     a  :       Any			):






       '''simple docstring'''






       lowercase_	:    List[Any]           =     str(id_			)
       lowercase_	:    List[str]           =     None
       lowercase_	:    Tuple           =     None
       lowercase_	:    Dict           =     []
       lowercase_	:    Union[str, Any]           =     {}  # {vertex:distance}




    def __lt__(			self  :       Optional[Any]  ,     a  :       int			):






       '''simple docstring'''






       return self.key < other.key




    def __repr__(			self  :       Union[str, Any]			):






       '''simple docstring'''






       return self.id




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       Optional[int]			):






       '''simple docstring'''






       self.neighbors.append(a			)





    def 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       int  ,     a  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    int           =     weight




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   graph[a - 1].add_neighbor(graph[b - 1]							)
   graph[b - 1].add_neighbor(graph[a - 1]							)
   # add the edges:
   graph[a - 1].add_edge(graph[b - 1]						,		_UpperCamelCase							)
   graph[b - 1].add_edge(graph[a - 1]						,		_UpperCamelCase							)




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Any           =     []
   for u in graph:
      lowercase_	:    List[Any]           =     math.inf
      lowercase_	:    str           =     None
   lowercase_	:    Tuple           =     0
   lowercase_	:    Tuple           =     graph[:]
   while q:
      lowercase_	:    List[Any]           =     min(_UpperCamelCase							)
      q.remove(_UpperCamelCase							)
      for v in u.neighbors:
         if (v in q) and (u.edges[v.id] < v.key):
            lowercase_	:    Optional[int]           =     u
            lowercase_	:    Union[str, Any]           =     u.edges[v.id]
   for i in range(1						,		len(_UpperCamelCase							)							):
      a.append((int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)							)
   return a




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   for u in graph:
      lowercase_	:    str           =     math.inf
      lowercase_	:    int           =     None
   lowercase_	:    List[Any]           =     0

   lowercase_	:    str           =     list(_UpperCamelCase							)
   hq.heapify(_UpperCamelCase							)

   while h:
      lowercase_	:    List[Any]           =     hq.heappop(_UpperCamelCase							)
      for v in u.neighbors:
         if (v in h) and (u.edges[v.id] < v.key):
            lowercase_	:    str           =     u
            lowercase_	:    Optional[int]           =     u.edges[v.id]
            hq.heapify(_UpperCamelCase							)

   for i in range(1						,		len(_UpperCamelCase							)							):
      yield (int(graph[i].id							) + 1, int(graph[i].pi.id							) + 1)




def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""






if __name__ == "__main__":
 import doctest

 doctest.testmod()




