




'''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 		lowercase_   (			_lowerCamelCase       ):


   """simple docstring"""

   lowerCamelCase_      =						'''naver-clova-ix/donut-base-finetuned-docvqa'''
   lowerCamelCase_      =						(
       '''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_      =						'''document_qa'''
   lowerCamelCase_      =						AutoProcessor
   lowerCamelCase_      =						VisionEncoderDecoderModel

   lowerCamelCase_      =						['''image''', '''text''']
   lowerCamelCase_      =						['''text''']



   def __init__(   self :     Optional[int]  ,				*__lowerCamelCase :     Optional[int]  ,				**__lowerCamelCase :     Tuple   ):

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

      super().__init__(*lowercase_  ,				**lowercase_   )



   def 							lowerCAmelCase_      (   self :     Any  ,				__lowerCamelCase :     "Image"  ,				__lowerCamelCase :     str   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				"<s_docvqa><s_question>{user_input}</s_question><s_answer>"
      _SCREAMING_SNAKE_CASE	=				task_prompt.replace("{user_input}"  ,				lowercase_   )
      _SCREAMING_SNAKE_CASE	=				self.pre_processor.tokenizer(
          lowercase_  ,				add_special_tokens=lowercase_  ,				return_tensors="pt"   ).input_ids
      _SCREAMING_SNAKE_CASE	=				self.pre_processor(lowercase_  ,				return_tensors="pt"   ).pixel_values

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



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     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=lowercase_  ,				pad_token_id=self.pre_processor.tokenizer.pad_token_id  ,				eos_token_id=self.pre_processor.tokenizer.eos_token_id  ,				use_cache=lowercase_  ,				num_beams=1  ,				bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]]  ,				return_dict_in_generate=lowercase_  ,				).sequences



   def 							lowerCAmelCase_      (   self :     List[str]  ,				__lowerCamelCase :     Tuple   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.pre_processor.batch_decode(lowercase_   )[0]
      _SCREAMING_SNAKE_CASE	=				sequence.replace(self.pre_processor.tokenizer.eos_token  ,				""   )
      _SCREAMING_SNAKE_CASE	=				sequence.replace(self.pre_processor.tokenizer.pad_token  ,				""   )
      _SCREAMING_SNAKE_CASE	=				re.sub(r"<.*?>"  ,				""  ,				lowercase_  ,				count=1   ).strip()  # remove first task start token
      _SCREAMING_SNAKE_CASE	=				self.pre_processor.tokenajson(lowercase_   )

      return sequence["answer"]







'''simple docstring'''



# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
lowerCamelCase_			=						abspath(join(dirname(dirname(__file__)), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)
def 			SCREAMING_SNAKE_CASE_			(							__A    :			Dict  )			->			Dict:
   from diffusers.utils.testing_utils import pytest_addoption_shared

   pytest_addoption_shared(__A  )






def 			SCREAMING_SNAKE_CASE_			(							__A    :			List[Any]  )			->			str:
   from diffusers.utils.testing_utils import pytest_terminal_summary_main

   _SCREAMING_SNAKE_CASE	=				terminalreporter.config.getoption("--make-reports"  )
   if make_reports:
      pytest_terminal_summary_main(__A	,					id=__A  )

