






'''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


UpperCamelCase__	=     'Here is a text containing a lot of information: \'\'\'{text}\'\'\'.\n\nCan you answer this question about the text: \'{question}\''


class     _UpperCAmelCase  (						snake_case     ):
    __lowerCamelCase:				List[str]						    =      'google/flan-t5-base'
    __lowerCamelCase:				List[Any]						    =      (
        '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.'
    )
    __lowerCamelCase:				Any						    =      'text_qa'
    __lowerCamelCase:				str						    =      AutoTokenizer
    __lowerCamelCase:				Optional[int]						    =      AutoModelForSeqaSeqLM

    __lowerCamelCase:				int						    =      ['text', 'text']
    __lowerCamelCase:				List[str]						    =      ['text']




    def 			lowerCAmelCase__			(     self					:    Any					,       a					:    str					,       a					:    str     ):






       '''simple docstring'''






       lowercase_		:      Optional[Any]          =       QA_PROMPT.format(text=a					,       question=a     )
       return self.pre_processor(a					,       return_tensors="pt"     )




    def 			lowerCAmelCase__			(     self					:    Optional[int]					,       a					:    int     ):






       '''simple docstring'''






       lowercase_		:      Tuple          =       self.model.generate(**a     )

       lowercase_      ,						lowercase_		:      Any          =       inputs["input_ids"].shape
       lowercase_		:      Dict          =       output_ids.shape[0]

       return output_ids.reshape(a					,       out_b // in_b					,       *output_ids.shape[1:]     )[0][0]





    def 			lowerCAmelCase__			(     self					:    Union[str, Any]					,       a					:    Optional[Any]     ):






       '''simple docstring'''






       return self.pre_processor.decode(a					,       skip_special_tokens=a					,       clean_up_tokenization_spaces=a     )












'''simple docstring'''
UpperCamelCase__	=     (1, 153, 370, 371, 1634, 24678051, 115132219018763992565095597973971522401)
UpperCamelCase__	=     (-153, -1, 0, 1.2, 200, "A", [], {}, None)




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Initialization of sum and number of digits.
   lowercase_		:      Optional[int]          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Optional[Any]          =       n
   # Calculation of digits of the number
   while temp > 0:
      number_of_digits += 1
      temp //= 10
   # Dividing number into separate digits and find Armstrong number
   lowercase_		:      int          =       n
   while temp > 0:
      lowercase_		:      Any          =       temp % 10
      total += rem**number_of_digits
      temp //= 10
   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False

   # Init a "histogram" of the digits
   lowercase_		:      Optional[Any]          =       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
   lowercase_		:      Tuple          =       0
   lowercase_		:      Any          =       0
   lowercase_		:      Tuple          =       n
   while temp > 0:
      lowercase_      ,						lowercase_		:      Optional[Any]          =       divmod(_UpperCamelCase  ,						10							)
      digit_histogram[rem] += 1
      digit_total += 1

   for cnt, i in zip(_UpperCamelCase  ,						range(len(_UpperCamelCase							)							)							):
      total += cnt * i**digit_total

   return n == total




def 						__SCREAMING_SNAKE_CASE   (					_UpperCamelCase							):


   """simple docstring"""




   if not isinstance(_UpperCamelCase  ,						_UpperCamelCase							) or n < 1:
      return False
   lowercase_		:      List[str]          =       len(str(_UpperCamelCase							)							)  # the power that all digits will be raised to
   # check if sum of each digit multiplied expo times is equal to number
   return n == sum(int(_UpperCamelCase							) ** expo for i in str(_UpperCamelCase							)							)




def 						__SCREAMING_SNAKE_CASE   (					):


   """simple docstring"""




   lowercase_		:      Dict          =       int(input("Enter an integer to see if it is an Armstrong number: "							).strip()							)
   print(F"""{num} is {"" if armstrong_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if narcissistic_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)
   print(F"""{num} is {"" if pluperfect_number(_UpperCamelCase							) else "not "}an Armstrong number."""							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()




