code: 
  '''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.
  from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
  from .base import PipelineTool
  
  
  A           =   "Here is a text containing a lot of information: '''{text}'''.\n\nCan you answer this question about the text: '{question}'"
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 'google/flan-t5-base'
    _UpperCamelCase						= (
        'This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the '
        'text where to find the answer, and `question`, which is the question, and returns the answer to the question.'
    )
    _UpperCamelCase						= 'text_qa'
    _UpperCamelCase						= AutoTokenizer
    _UpperCamelCase						= AutoModelForSeqaSeqLM
  
    _UpperCamelCase						= ['text', 'text']
    _UpperCamelCase						= ['text']
  
    def 		_lowerCamelCase	(self  : Any	, lowerCAmelCase_  : str	, lowerCAmelCase_  : str    )   ->       Dict:
          snake_case_						       =							QA_PROMPT.format(text=lowerCAmelCase_	, question=lowerCAmelCase_    )
          return self.pre_processor(lowerCAmelCase_	, return_tensors="pt"    )
  
    def 		_lowerCamelCase	(self  : List[str]	, lowerCAmelCase_  : Optional[Any]    )   ->       int:
          snake_case_						       =							self.model.generate(**lowerCAmelCase_    )
  
          snake_case_       ,	snake_case_						       =							inputs["input_ids"].shape
          snake_case_						       =							output_ids.shape[0]
  
          return output_ids.reshape(lowerCAmelCase_	, out_b // in_b	, *output_ids.shape[1:]    )[0][0]
  
  
    def 		_lowerCamelCase	(self  : Optional[Any]	, lowerCAmelCase_  : Any    )   ->       int:
          return self.pre_processor.decode(lowerCAmelCase_	, skip_special_tokens=lowerCAmelCase_	, clean_up_tokenization_spaces=lowerCAmelCase_    )
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  def   snake_case_       (							_a     :							List[str] ,					_a     :							List[str]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    res *= a
  
              a *= a
              b >>= 1
  
        return res
  def   snake_case_       (							_a     :							Union[str, Any] ,					_a     :							Tuple ,					_a     :							Optional[Any]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    snake_case_						       =							((res % c) * (a % c)) % c
  
              a *= a
              b >>= 1
  
        return res
  
  