
'''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	:			Union[str, Any]						,			lowerCAmelCase_	:			str						,			lowerCAmelCase_	:			str     ) ->							int:
        snake_case_    							=				QA_PROMPT.format(text=lowerCAmelCase_						,			question=lowerCAmelCase_     )
        return self.pre_processor(lowerCAmelCase_						,			return_tensors="pt"     )

  def 		_lowerCamelCase						(self	:			Any						,			lowerCAmelCase_	:			Any     ) ->							Tuple:
        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	:			List[str]						,			lowerCAmelCase_	:			Tuple     ) ->							Tuple:
        return self.pre_processor.decode(lowerCAmelCase_						,			skip_special_tokens=lowerCAmelCase_						,			clean_up_tokenization_spaces=lowerCAmelCase_     )



"""simple docstring"""






def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase = 1_000     )						->str:

   """simple docstring"""



   if (not isinstance(UpperCAmelCase ,   UpperCAmelCase     )) or (digit_position <= 0):
      raise ValueError("Digit position must be a positive integer"     )
   elif (not isinstance(UpperCAmelCase ,   UpperCAmelCase     )) or (precision < 0):
      raise ValueError("Precision must be a nonnegative integer"     )

   # compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
   # accurate
   a_						   =     (
       4 * _subsum(UpperCAmelCase ,   1 ,   UpperCAmelCase     )
       - 2 * _subsum(UpperCAmelCase ,   4 ,   UpperCAmelCase     )
       - _subsum(UpperCAmelCase ,   5 ,   UpperCAmelCase     )
       - _subsum(UpperCAmelCase ,   6 ,   UpperCAmelCase     )
   )

   # return the first hex digit of the fractional part of the result
   return hex(int((sum_result % 1) * 16     )     )[2:]
def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase     )						->float:

   """simple docstring"""



   a_						   =     0.0
   for sum_index in range(digit_pos_to_extract + precision     ):
      a_						   =     8 * sum_index + denominator_addend
      if sum_index < digit_pos_to_extract:
         # if the exponential term is an integer and we mod it by the denominator
         # before dividing, only the integer part of the sum will change;
         # the fractional part will not
         a_						   =     pow(
             16 ,   digit_pos_to_extract - 1 - sum_index ,   UpperCAmelCase     )
      else:
         a_						   =     pow(16 ,   digit_pos_to_extract - 1 - sum_index     )
      total += exponential_term / denominator
   return total


if __name__ == "__main__":
      import doctest

      doctest.testmod()