





# 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 					lowercase__ (			__lowerCamelCase       ):

   '''simple docstring'''


   a		:							List[str]     	=	"naver-clova-ix/donut-base-finetuned-docvqa"
   a		:							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."
   )
   a		:							Union[str, Any]     	=	"document_qa"
   a		:							Dict     	=	AutoProcessor
   a		:							str     	=	VisionEncoderDecoderModel

   a		:							Union[str, Any]     	=	["image", "text"]
   a		:							List[Any]     	=	["text"]




   def __init__(					self,	*__magic_name__,	**__magic_name__							)				->   Any:






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

       super().__init__(*__magic_name__,	**__magic_name__							)




   def    UpperCamelCase__						(					self,	__magic_name__,	__magic_name__							)				->   str:






       """simple docstring"""
       UpperCamelCase__							:       Optional[Any]      =   '''<s_docvqa><s_question>{user_input}</s_question><s_answer>'''
       UpperCamelCase__							:       int      =   task_prompt.replace('''{user_input}''',	__magic_name__							)
       UpperCamelCase__							:       Any      =   self.pre_processor.tokenizer(
           __magic_name__,	add_special_tokens=__magic_name__,	return_tensors='''pt'''							).input_ids
       UpperCamelCase__							:       str      =   self.pre_processor(__magic_name__,	return_tensors='''pt'''							).pixel_values

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




   def    UpperCamelCase__						(					self,	__magic_name__							)				->   Union[str, 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=__magic_name__,	pad_token_id=self.pre_processor.tokenizer.pad_token_id,	eos_token_id=self.pre_processor.tokenizer.eos_token_id,	use_cache=__magic_name__,	num_beams=1,	bad_words_ids=[[self.pre_processor.tokenizer.unk_token_id]],	return_dict_in_generate=__magic_name__,	).sequences




   def    UpperCamelCase__						(					self,	__magic_name__							)				->   Tuple:






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

       return sequence["answer"]








from __future__ import annotations




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str	,     __UpperCAmelCase:    str   )   ->			bool:
    UpperCamelCase__							:       List[str]      =   get_failure_array(__UpperCAmelCase   )

    # 2) Step through text searching for pattern
    UpperCamelCase__     ,UpperCamelCase__							:       Dict      =   0, 0  # index into text, pattern
    while i < len(__UpperCAmelCase   ):
        if pattern[j] == text[i]:
            if j == (len(__UpperCAmelCase   ) - 1):
                return True
            j += 1

        # if this is a prefix in our pattern
        # just go back far enough to continue
        elif j > 0:
            UpperCamelCase__							:       Optional[int]      =   failure[j - 1]
            continue
        i += 1
    return False




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str   )   ->			list[int]:
    UpperCamelCase__							:       Union[str, Any]      =   [0]
    UpperCamelCase__							:       Tuple      =   0
    UpperCamelCase__							:       Tuple      =   1
    while j < len(__UpperCAmelCase   ):
        if pattern[i] == pattern[j]:
            i += 1
        elif i > 0:
            UpperCamelCase__							:       str      =   failure[i - 1]
            continue
        j += 1
        failure.append(__UpperCAmelCase   )
    return failure


if __name__ == "__main__":
  # Test 1)
  UpperCAmelCase_  							=				'abc1abc12'
  UpperCAmelCase_  							=				'alskfjaldsabc1abc1abc12k23adsfabcabc'
  UpperCAmelCase_  							=				'alskfjaldsk23adsfabcabc'
  assert kmp(pattern, texta) and not kmp(pattern, texta)

  # Test 2)
  UpperCAmelCase_  							=				'ABABX'
  UpperCAmelCase_  							=				'ABABZABABYABABX'
  assert kmp(pattern, text)

  # Test 3)
  UpperCAmelCase_  							=				'AAAB'
  UpperCAmelCase_  							=				'ABAAAAAB'
  assert kmp(pattern, text)

  # Test 4)
  UpperCAmelCase_  							=				'abcdabcy'
  UpperCAmelCase_  							=				'abcxabcdabxabcdabcdabcy'
  assert kmp(pattern, text)

  # Test 5)
  UpperCAmelCase_  							=				'aabaabaaa'
  assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]

