



from __future__ import annotations

from collections.abc import Sequence
from typing import Literal






def 	_lowerCAmelCase						(				__lowerCamelCase   :     str		,	__lowerCamelCase   :     str     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    int       =	list(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	list(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    int       =	0
 for i in range(len(__lowerCamelCase     )     ):
  if lista[i] != lista[i]:
   count += 1
   __SCREAMING_SNAKE_CASE       :    int       =	"_"
 if count > 1:
  return False
 else:
  return "".join(__lowerCamelCase     )






def 	_lowerCAmelCase						(				__lowerCamelCase   :     list[str]     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    Optional[int]       =	[]
 while True:
  __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	["$"] * len(__lowerCamelCase     )
  __SCREAMING_SNAKE_CASE       :    int       =	[]
  for i in range(len(__lowerCamelCase     )     ):
   for j in range(i + 1		,	len(__lowerCamelCase     )     ):
    __SCREAMING_SNAKE_CASE       :    str       =	compare_string(binary[i]		,	binary[j]     )
    if k is False:
     __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	"*"
     __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	"*"
     temp.append("X"     )
  for i in range(len(__lowerCamelCase     )     ):
   if checka[i] == "$":
    pi.append(binary[i]     )
  if len(__lowerCamelCase     ) == 0:
   return pi
  __SCREAMING_SNAKE_CASE       :    List[str]       =	list(set(__lowerCamelCase     )     )






def 	_lowerCAmelCase						(				__lowerCamelCase   :     int		,	__lowerCamelCase   :     Sequence[float]     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    str       =	[]
 for minterm in minterms:
  __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	""
  for _ in range(__lowerCamelCase     ):
   __SCREAMING_SNAKE_CASE       :    str       =	str(minterm % 2     ) + string
   minterm //= 2
  temp.append(__lowerCamelCase     )
 return temp






def 	_lowerCAmelCase						(				__lowerCamelCase   :     str		,	__lowerCamelCase   :     str		,	__lowerCamelCase   :     int     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    Any       =	list(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    List[str]       =	list(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    Dict       =	0
 for i in range(len(__lowerCamelCase     )     ):
  if lista[i] != lista[i]:
   count_n += 1
 return count_n == count






def 	_lowerCAmelCase						(				__lowerCamelCase   :     list[list[int]]		,	__lowerCamelCase   :     list[str]     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	[]
 __SCREAMING_SNAKE_CASE       :    Dict       =	[0] * len(__lowerCamelCase     )
 for i in range(len(chart[0]     )     ):
  __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	0
  __SCREAMING_SNAKE_CASE       :    Any       =	-1
  for j in range(len(__lowerCamelCase     )     ):
   if chart[j][i] == 1:
    count += 1
    __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	j
  if count == 1:
   __SCREAMING_SNAKE_CASE       :    str       =	1
 for i in range(len(__lowerCamelCase     )     ):
  if select[i] == 1:
   for j in range(len(chart[0]     )     ):
    if chart[i][j] == 1:
     for k in range(len(__lowerCamelCase     )     ):
      __SCREAMING_SNAKE_CASE       :    Tuple       =	0
   temp.append(prime_implicants[i]     )
 while True:
  __SCREAMING_SNAKE_CASE       :    int       =	0
  __SCREAMING_SNAKE_CASE       :    str       =	-1
  __SCREAMING_SNAKE_CASE       :    int       =	0
  for i in range(len(__lowerCamelCase     )     ):
   __SCREAMING_SNAKE_CASE       :    Any       =	chart[i].count(1     )
   if count_n > max_n:
    __SCREAMING_SNAKE_CASE       :    int       =	count_n
    __SCREAMING_SNAKE_CASE       :    List[Any]       =	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(__lowerCamelCase     )     ):
     __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	0






def 	_lowerCAmelCase						(				__lowerCamelCase   :     list[str]		,	__lowerCamelCase   :     list[str]     ):



 """simple docstring"""





 __SCREAMING_SNAKE_CASE       :    Dict       =	[[0 for x in range(len(__lowerCamelCase     )     )] for x in range(len(__lowerCamelCase     )     )]
 for i in range(len(__lowerCamelCase     )     ):
  __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	prime_implicants[i].count("_"     )
  for j in range(len(__lowerCamelCase     )     ):
   if is_for_table(prime_implicants[i]		,	binary[j]		,	__lowerCamelCase     ):
    __SCREAMING_SNAKE_CASE       :    Tuple       =	1

 return chart






def 	_lowerCAmelCase						(				):



 """simple docstring"""





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

 __SCREAMING_SNAKE_CASE       :    Tuple       =	check(__lowerCamelCase     )
 print("Prime Implicants are:"     )
 print(__lowerCamelCase     )
 __SCREAMING_SNAKE_CASE       :    Optional[int]       =	prime_implicant_chart(__lowerCamelCase		,	__lowerCamelCase     )

 __SCREAMING_SNAKE_CASE       :    Union[str, Any]       =	selection(__lowerCamelCase		,	__lowerCamelCase     )
 print("Essential Prime Implicants are:"     )
 print(__lowerCamelCase     )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()











# 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       _SCREAMING_SNAKE_CASE	(UpperCamelCase ):
     lowerCAmelCase					=			"""philschmid/bart-large-cnn-samsum"""
     lowerCAmelCase					=			(
         """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."""
     )
     lowerCAmelCase					=			"""summarizer"""
     lowerCAmelCase					=			AutoTokenizer
     lowerCAmelCase					=			AutoModelForSeqaSeqLM

     lowerCAmelCase					=			["""text"""]
     lowerCAmelCase					=			["""text"""]





     def 	__snake_case    (       self :							Union[str, Any]     ,  UpperCamelCase :							Tuple				)->Tuple:
      return self.pre_processor(UpperCamelCase     ,  return_tensors="pt"     ,  truncation=UpperCamelCase				)





     def 	__snake_case    (       self :							Dict     ,  UpperCamelCase :							List[Any]				)->Optional[Any]:
      return self.model.generate(**UpperCamelCase				)[0]






     def 	__snake_case    (       self :							Tuple     ,  UpperCamelCase :							Dict				)->Optional[int]:
      return self.pre_processor.decode(UpperCamelCase     ,  skip_special_tokens=UpperCamelCase     ,  clean_up_tokenization_spaces=UpperCamelCase				)






