
'''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"""





UpperCamelCase					=     [chr(i) for i in range(32, 1_26)]
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(range(len(alphabets)))
UpperCamelCase					=     list(reversed(range(len(alphabets))))
UpperCamelCase					=     []
UpperCamelCase					=     UpperCamelCase					=     UpperCamelCase					=     0






def 							A(    ):
       """simple docstring"""





       global gear_one_pos
       global gear_two_pos
       global gear_three_pos
       lowercase__:							int         =     gear_one[0]
       gear_one.append(snake_case_						)
       del gear_one[0]
       gear_one_pos += 1
       if gear_one_pos % int(len(snake_case_						)						) == 0:
              lowercase__:							List[str]         =     gear_two[0]
              gear_two.append(snake_case_						)
              del gear_two[0]
              gear_two_pos += 1
              if gear_two_pos % int(len(snake_case_						)						) == 0:
                     lowercase__:							Dict         =     gear_three[0]
                     gear_three.append(snake_case_						)
                     del gear_three[0]
                     gear_three_pos += 1






def 							A(    snake_case_						):
       """simple docstring"""





       lowercase__:							List[Any]         =     alphabets.index(snake_case_						)
       lowercase__:							Dict         =     gear_one[target]
       lowercase__:							Tuple         =     gear_two[target]
       lowercase__:							str         =     gear_three[target]
       lowercase__:							Any         =     reflector[target]
       lowercase__:							Any         =     gear_three.index(snake_case_						)
       lowercase__:							Tuple         =     gear_two.index(snake_case_						)
       lowercase__:							Union[str, Any]         =     gear_one.index(snake_case_						)
       code.append(alphabets[target]						)
       rotator()


if __name__ == "__main__":
  UpperCamelCase					=     list(input("""Type your message:\n"""))
  while True:
    try:
      UpperCamelCase					=     int(input("""Please set token:(must be only digits)\n"""))
      break
    except Exception as error:
      print(error)
  for _ in range(token):
    rotator()
  for j in decode:
    engine(j)
  print("""\n""" + """""".join(code))
  print(
      F"\nYour Token is {token} please write it down.\nIf you want to decode "
      """this message again you should input same digits as token!"""
  )






