






"""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.
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  lowerCamelCase__ (	snake_case			):
    SCREAMING_SNAKE_CASE		=      '''naver-clova-ix/donut-base-finetuned-docvqa'''
    SCREAMING_SNAKE_CASE		=      (
        '''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.'''
    )
    SCREAMING_SNAKE_CASE		=      '''document_qa'''
    SCREAMING_SNAKE_CASE		=      AutoProcessor
    SCREAMING_SNAKE_CASE		=      VisionEncoderDecoderModel

    SCREAMING_SNAKE_CASE		=      ['''image''', '''text''']
    SCREAMING_SNAKE_CASE		=      ['''text''']






    def __init__(			self     ,*A     ,**A ):
          if not is_vision_available():
                raise ValueError("""Pillow must be installed to use the DocumentQuestionAnsweringTool.""" )

          super().__init__(*A     ,**A )






    def     _UpperCamelCase							(			self     ,A     ,A ):
          UpperCAmelCase          =	"""<s_docvqa><s_question>{user_input}</s_question><s_answer>"""
          UpperCAmelCase          =	task_prompt.replace("""{user_input}"""     ,A )
          UpperCAmelCase          =	self.pre_processor.tokenizer(
              A     ,add_special_tokens=A     ,return_tensors="""pt""" ).input_ids
          UpperCAmelCase          =	self.pre_processor(A     ,return_tensors="""pt""" ).pixel_values

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






    def     _UpperCamelCase							(			self     ,A ):
          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     _UpperCamelCase							(			self     ,A ):
          UpperCAmelCase          =	self.pre_processor.batch_decode(A )[0]
          UpperCAmelCase          =	sequence.replace(self.pre_processor.tokenizer.eos_token     ,"""""" )
          UpperCAmelCase          =	sequence.replace(self.pre_processor.tokenizer.pad_token     ,"""""" )
          UpperCAmelCase          =	re.sub(r"""<.*?>"""     ,""""""     ,A     ,count=1 ).strip()  # remove first task start token
          UpperCAmelCase          =	self.pre_processor.tokenajson(A )

          return sequence["answer"]











"""simple docstring"""







def _a			(		_snake_case = 6008_5147_5143							):







      """simple docstring"""






      try:
            UpperCAmelCase          =	int(_snake_case							)
      except (TypeError, ValueError):
            raise TypeError("""Parameter n must be int or castable to int."""							)
      if n <= 0:
            raise ValueError("""Parameter n must be greater than or equal to one."""							)
      UpperCAmelCase          =	1
      UpperCAmelCase          =	2
      while i * i <= n:
            while n % i == 0:
                  UpperCAmelCase          =	i
                  n //= i
            i += 1
      if n > 1:
            UpperCAmelCase          =	n
      return int(_snake_case							)


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



