





from __future__ import annotations

from collections.abc import Sequence
from typing import Literal




def      a__			(       lowercase__	,     lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =list(lowercase__	)
   UpperCAmelCase_           =list(lowercase__	)
   UpperCAmelCase_           =0
   for i in range(len(lowercase__	)	):
      if lista[i] != lista[i]:
         count += 1
         UpperCAmelCase_           ="_"
   if count > 1:
      return False
   else:
      return "".join(lowercase__	)




def      a__			(       lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =[]
   while True:
      UpperCAmelCase_           =["$"] * len(lowercase__	)
      UpperCAmelCase_           =[]
      for i in range(len(lowercase__	)	):
         for j in range(i + 1	,     len(lowercase__	)	):
            UpperCAmelCase_           =compare_string(binary[i]	,     binary[j]	)
            if k is False:
               UpperCAmelCase_           ="*"
               UpperCAmelCase_           ="*"
               temp.append("X"	)
      for i in range(len(lowercase__	)	):
         if checka[i] == "$":
            pi.append(binary[i]	)
      if len(lowercase__	) == 0:
         return pi
      UpperCAmelCase_           =list(set(lowercase__	)	)




def      a__			(       lowercase__	,     lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =[]
   for minterm in minterms:
      UpperCAmelCase_           =""
      for _ in range(lowercase__	):
         UpperCAmelCase_           =str(minterm % 2	) + string
         minterm //= 2
      temp.append(lowercase__	)
   return temp




def      a__			(       lowercase__	,     lowercase__	,     lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =list(lowercase__	)
   UpperCAmelCase_           =list(lowercase__	)
   UpperCAmelCase_           =0
   for i in range(len(lowercase__	)	):
      if lista[i] != lista[i]:
         count_n += 1
   return count_n == count




def      a__			(       lowercase__	,     lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =[]
   UpperCAmelCase_           =[0] * len(lowercase__	)
   for i in range(len(chart[0]	)	):
      UpperCAmelCase_           =0
      UpperCAmelCase_           =-1
      for j in range(len(lowercase__	)	):
         if chart[j][i] == 1:
            count += 1
            UpperCAmelCase_           =j
      if count == 1:
         UpperCAmelCase_           =1
   for i in range(len(lowercase__	)	):
      if select[i] == 1:
         for j in range(len(chart[0]	)	):
            if chart[i][j] == 1:
               for k in range(len(lowercase__	)	):
                  UpperCAmelCase_           =0
         temp.append(prime_implicants[i]	)
   while True:
      UpperCAmelCase_           =0
      UpperCAmelCase_           =-1
      UpperCAmelCase_           =0
      for i in range(len(lowercase__	)	):
         UpperCAmelCase_           =chart[i].count(1	)
         if count_n > max_n:
            UpperCAmelCase_           =count_n
            UpperCAmelCase_           =i

      if max_n == 0:
         return temp

      temp.append(prime_implicants[rem]	)

      for i in range(len(chart[0]	)	):
         if chart[rem][i] == 1:
            for j in range(len(lowercase__	)	):
               UpperCAmelCase_           =0




def      a__			(       lowercase__	,     lowercase__	):






   '''simple docstring'''






   UpperCAmelCase_           =[[0 for x in range(len(lowercase__	)	)] for x in range(len(lowercase__	)	)]
   for i in range(len(lowercase__	)	):
      UpperCAmelCase_           =prime_implicants[i].count("_"	)
      for j in range(len(lowercase__	)	):
         if is_for_table(prime_implicants[i]	,     binary[j]	,     lowercase__	):
            UpperCAmelCase_           =1

   return chart




def      a__			(       ):






   '''simple docstring'''






   UpperCAmelCase_           =int(input("Enter the no. of variables\n"	)	)
   UpperCAmelCase_           =[
       float(lowercase__	)
       for x in input(
           "Enter the decimal representation of Minterms 'Spaces Separated'\n"	).split()
   ]
   UpperCAmelCase_           =decimal_to_binary(lowercase__	,     lowercase__	)

   UpperCAmelCase_           =check(lowercase__	)
   print("Prime Implicants are:"	)
   print(lowercase__	)
   UpperCAmelCase_           =prime_implicant_chart(lowercase__	,     lowercase__	)

   UpperCAmelCase_           =selection(lowercase__	,     lowercase__	)
   print("Essential Prime Implicants are:"	)
   print(lowercase__	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()





"""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





class 					_A		(			lowerCAmelCase      ):
      snake_case__     :  List[Any]				    =      'philschmid/bart-large-cnn-samsum'
      snake_case__     :  int				    =      (
          'This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, '
          'and returns a summary of the text.'
      )
      snake_case__     :  Tuple				    =      'summarizer'
      snake_case__     :  int				    =      AutoTokenizer
      snake_case__     :  Any				    =      AutoModelForSeqaSeqLM

      snake_case__     :  Optional[int]				    =      ['text']
      snake_case__     :  Optional[int]				    =      ['text']

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.pre_processor(__lowerCAmelCase						,			return_tensors="""pt"""						,			truncation=__lowerCAmelCase		)

      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



            return self.model.generate(**__lowerCAmelCase		)[0]







      def 							A__			(		self						,			__lowerCAmelCase		):







            """simple docstring"""



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



