



'''simple docstring'''

import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCAmelCase									=   logging.get_logger(__name__)

__lowerCAmelCase									=   {'''vocab_file''': '''spiece.model'''}

__lowerCAmelCase									=   {
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

__lowerCAmelCase									=   {'''bert_for_seq_generation''': 512}

class 	__magic_name__						(    _UpperCamelCase   ):
							lowerCAmelCase       :    Optional[int]   				=					VOCAB_FILES_NAMES
							lowerCAmelCase       :    List[Any]   				=					PRETRAINED_VOCAB_FILES_MAP
							lowerCAmelCase       :    Union[str, Any]   				=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCAmelCase       :    List[int]   				=					[]
							lowerCAmelCase       :    Optional[Any]   				=					['input_ids', 'attention_mask']







							def __init__(							self					:       Union[str, Any]	,_UpperCAmelCase					:       Any	,_UpperCAmelCase					:       Optional[int]="<s>"	,_UpperCAmelCase					:       Optional[Any]="</s>"	,_UpperCAmelCase					:       Optional[Any]="<unk>"	,_UpperCAmelCase					:       Dict="<pad>"	,_UpperCAmelCase					:       str="<::::>"	,_UpperCAmelCase					:       Optional[Dict[str, Any]] = None	,**_UpperCAmelCase					:       Any	,):
									_a     :      int        =							{} if sp_model_kwargs is None else sp_model_kwargs

									# Add extra_ids to the special token list
									super().__init__(
									    bos_token=_UpperCAmelCase	,eos_token=_UpperCAmelCase	,unk_token=_UpperCAmelCase	,pad_token=_UpperCAmelCase	,sep_token=_UpperCAmelCase	,sp_model_kwargs=self.sp_model_kwargs	,**_UpperCAmelCase	,)

									_a     :      Dict        =							vocab_file

									_a     :      List[str]        =							spm.SentencePieceProcessor(**self.sp_model_kwargs		)
									self.sp_model.Load(_UpperCAmelCase		)







							@property
							def 							__lowercase			(							self					:       Tuple		):
									return self.sp_model.get_piece_size()







							def 							__lowercase			(							self					:       str		):
									_a     :      List[Any]        =							{self.convert_ids_to_tokens(_UpperCAmelCase		): i for i in range(self.vocab_size		)}
									vocab.update(self.added_tokens_encoder		)
									return vocab







							def __getstate__(							self					:       Optional[int]		):
									_a     :      Tuple        =							self.__dict__.copy()
									_a     :      str        =							None
									return state







							def __setstate__(							self					:       Optional[Any]	,_UpperCAmelCase					:       Optional[int]		):
									_a     :      Optional[int]        =							d

									# for backward compatibility
									if not hasattr(self	,'sp_model_kwargs'		):
											_a     :      Dict        =							{}

									_a     :      Optional[int]        =							spm.SentencePieceProcessor(**self.sp_model_kwargs		)
									self.sp_model.Load(self.vocab_file		)







							def 							__lowercase			(							self					:       Any	,_UpperCAmelCase					:       str		):
									return self.sp_model.encode(_UpperCAmelCase	,out_type=_UpperCAmelCase		)







							def 							__lowercase			(							self					:       Optional[int]	,_UpperCAmelCase					:       Tuple		):
									return self.sp_model.piece_to_id(_UpperCAmelCase		)







							def 							__lowercase			(							self					:       Optional[int]	,_UpperCAmelCase					:       str		):
									_a     :      Union[str, Any]        =							self.sp_model.IdToPiece(_UpperCAmelCase		)
									return token







							def 							__lowercase			(							self					:       str	,_UpperCAmelCase					:       Tuple		):
									_a     :      Any        =							[]
									_a     :      Any        =							''
									for token in tokens:
											# make sure that special tokens are not decoded using sentencepiece model
											if token in self.all_special_tokens:
													out_string += self.sp_model.decode(_UpperCAmelCase		) + token
													_a     :      Any        =							[]
											else:
													current_sub_tokens.append(_UpperCAmelCase		)
									out_string += self.sp_model.decode(_UpperCAmelCase		)
									return out_string.strip()







							def 							__lowercase			(							self					:       Any	,_UpperCAmelCase					:       str	,_UpperCAmelCase					:       Optional[str] = None		):
									if not os.path.isdir(_UpperCAmelCase		):
											logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
											return
									_a     :      List[Any]        =							os.path.join(
									    _UpperCAmelCase	,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)

									if os.path.abspath(self.vocab_file		) != os.path.abspath(_UpperCAmelCase		) and os.path.isfile(self.vocab_file		):
											copyfile(self.vocab_file	,_UpperCAmelCase		)
									elif not os.path.isfile(self.vocab_file		):
											with open(_UpperCAmelCase	,'wb'		) as fi:
													_a     :      Tuple        =							self.sp_model.serialized_model_proto()
													fi.write(_UpperCAmelCase		)

									return (out_vocab_file,)









'''simple docstring'''

from __future__ import annotations

from collections.abc import Sequence
from typing import Literal



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      str | Literal[False]:
		_a     :      Optional[int]        =							list(lowerCAmelCase_  )
		_a     :      Optional[Any]        =							list(lowerCAmelCase_  )
		_a     :      Union[str, Any]        =							0
		for i in range(len(lowerCAmelCase_  )  ):
				if lista[i] != lista[i]:
						count += 1
						_a     :      Optional[int]        =							'_'
		if count > 1:
				return False
		else:
				return "".join(lowerCAmelCase_  )



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



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      list[str]:
		_a     :      int        =							[]
		for minterm in minterms:
				_a     :      Optional[int]        =							''
				for _ in range(lowerCAmelCase_  ):
						_a     :      Union[str, Any]        =							str(minterm % 2  ) + string
						minterm //= 2
				temp.append(lowerCAmelCase_  )
		return temp



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      bool:
		_a     :      int        =							list(lowerCAmelCase_  )
		_a     :      Union[str, Any]        =							list(lowerCAmelCase_  )
		_a     :      str        =							0
		for i in range(len(lowerCAmelCase_  )  ):
				if lista[i] != lista[i]:
						count_n += 1
		return count_n == count



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      list[str]:
		_a     :      List[Any]        =							[]
		_a     :      Optional[Any]        =							[0] * len(lowerCAmelCase_  )
		for i in range(len(chart[0]  )  ):
				_a     :      Union[str, Any]        =							0
				_a     :      int        =							-1
				for j in range(len(lowerCAmelCase_  )  ):
						if chart[j][i] == 1:
								count += 1
								_a     :      int        =							j
				if count == 1:
						_a     :      List[Any]        =							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_  )  ):
												_a     :      Any        =							0
						temp.append(prime_implicants[i]  )
		while True:
				_a     :      Union[str, Any]        =							0
				_a     :      List[Any]        =							-1
				_a     :      str        =							0
				for i in range(len(lowerCAmelCase_  )  ):
						_a     :      Union[str, Any]        =							chart[i].count(1  )
						if count_n > max_n:
								_a     :      Any        =							count_n
								_a     :      int        =							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_  )  ):
										_a     :      List[str]        =							0



def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      list[list[int]]:
		_a     :      int        =							[[0 for x in range(len(lowerCAmelCase_  )  )] for x in range(len(lowerCAmelCase_  )  )]
		for i in range(len(lowerCAmelCase_  )  ):
				_a     :      str        =							prime_implicants[i].count('_'  )
				for j in range(len(lowerCAmelCase_  )  ):
						if is_for_table(prime_implicants[i]						,			binary[j]						,			lowerCAmelCase_  ):
								_a     :      Optional[Any]        =							1

		return chart



def      __lowerCamelCase     (      )			->      None:
		_a     :      Optional[int]        =							int(input('Enter the no. of variables\n'  )  )
		_a     :      List[Any]        =							[
		    float(lowerCAmelCase_  )
		    for x in input(
		        'Enter the decimal representation of Minterms \'Spaces Separated\'\n'  ).split()
		]
		_a     :      List[str]        =							decimal_to_binary(lowerCAmelCase_						,			lowerCAmelCase_  )

		_a     :      Dict        =							check(lowerCAmelCase_  )
		print('Prime Implicants are:'  )
		print(lowerCAmelCase_  )
		_a     :      List[Any]        =							prime_implicant_chart(lowerCAmelCase_						,			lowerCAmelCase_  )

		_a     :      int        =							selection(lowerCAmelCase_						,			lowerCAmelCase_  )
		print('Essential Prime Implicants are:'  )
		print(lowerCAmelCase_  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()




