
"""simple docstring"""

from __future__ import annotations

from collections.abc import Sequence
from typing import Literal




def     lowercase__						(					lowerCAmelCase ,				lowerCAmelCase ) ->      str | Literal[False]:






    """simple docstring"""




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




def     lowercase__						(					lowerCAmelCase ) ->      list[str]:






    """simple docstring"""




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




def     lowercase__						(					lowerCAmelCase ,				lowerCAmelCase ) ->      list[str]:






    """simple docstring"""




    UpperCAmelCase									=					[]
    for minterm in minterms:
        UpperCAmelCase									=					''''''
        for _ in range(a_ ):
            UpperCAmelCase									=					str(minterm % 2 ) + string
            minterm //= 2
        temp.append(a_ )
    return temp




def     lowercase__						(					lowerCAmelCase ,				lowerCAmelCase ,				lowerCAmelCase ) ->      bool:






    """simple docstring"""




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




def     lowercase__						(					lowerCAmelCase ,				lowerCAmelCase ) ->      list[str]:






    """simple docstring"""




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




def     lowercase__						(					lowerCAmelCase ,				lowerCAmelCase ) ->      list[list[int]]:






    """simple docstring"""




    UpperCAmelCase									=					[[0 for x in range(len(a_ ) )] for x in range(len(a_ ) )]
    for i in range(len(a_ ) ):
        UpperCAmelCase									=					prime_implicants[i].count('_' )
        for j in range(len(a_ ) ):
            if is_for_table(prime_implicants[i] ,				binary[j] ,				a_ ):
                UpperCAmelCase									=					1

    return chart




def     lowercase__						(					) ->      None:






    """simple docstring"""




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

    UpperCAmelCase									=					check(a_ )
    print('Prime Implicants are:' )
    print(a_ )
    UpperCAmelCase									=					prime_implicant_chart(a_ ,				a_ )

    UpperCAmelCase									=					selection(a_ ,				a_ )
    print('Essential Prime Implicants are:' )
    print(a_ )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()





"""simple docstring"""

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_    					=						logging.get_logger(__name__)
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):
      __SCREAMING_SNAKE_CASE   :							Union[str, Any]							      =	"encoder-decoder"
      __SCREAMING_SNAKE_CASE   :							Any							      =	True




      def __init__(							self   ,       **lowercase_							)						->					str:
          super().__init__(**lowercase_							)
          assert (
              "encoder" in kwargs and "decoder" in kwargs
          ), "Config has to be initialized with encoder and decoder config"
          UpperCAmelCase									=					kwargs.pop('encoder'							)
          UpperCAmelCase									=					encoder_config.pop('model_type'							)
          UpperCAmelCase									=					kwargs.pop('decoder'							)
          UpperCAmelCase									=					decoder_config.pop('model_type'							)

          from ..auto.configuration_auto import AutoConfig

          UpperCAmelCase									=					AutoConfig.for_model(lowercase_   ,       **lowercase_							)
          UpperCAmelCase									=					AutoConfig.for_model(lowercase_   ,       **lowercase_							)
          UpperCAmelCase									=					True




      @classmethod
      def     a_      (							cls   ,       lowercase_   ,       lowercase_   ,       **lowercase_							)						->					PretrainedConfig:
          logger.info('Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'							)
          UpperCAmelCase									=					True
          UpperCAmelCase									=					True

          return cls(encoder=encoder_config.to_dict()   ,       decoder=decoder_config.to_dict()   ,       **lowercase_							)




      def     a_      (							self							)						->					Optional[int]:
          UpperCAmelCase									=					copy.deepcopy(self.__dict__							)
          UpperCAmelCase									=					self.encoder.to_dict()
          UpperCAmelCase									=					self.decoder.to_dict()
          UpperCAmelCase									=					self.__class__.model_type
          return output



