


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


__a     =			logging.get_logger(__name__)

__a     =			{"""vocab_file""": """spm_char.model"""}

__a     =			{
    """vocab_file""": {
        """microsoft/speecht5_asr""": """https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model""",
        """microsoft/speecht5_tts""": """https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model""",
        """microsoft/speecht5_vc""": """https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model""",
    }
}

__a     =			{
    """microsoft/speecht5_asr""": 1024,
    """microsoft/speecht5_tts""": 1024,
    """microsoft/speecht5_vc""": 1024,
}






class   __lowercase				(  __snake_case  ):
      UpperCamelCase								=       VOCAB_FILES_NAMES
      UpperCamelCase								=       PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase								=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase								=       ['''input_ids''', '''attention_mask''']





      def __init__(		self						:					Optional[Any]					,       __lowerCamelCase						:					Any					,       __lowerCamelCase						:					List[str]="<s>"					,       __lowerCamelCase						:					Tuple="</s>"					,       __lowerCamelCase						:					Any="<unk>"					,       __lowerCamelCase						:					Union[str, Any]="<pad>"					,       __lowerCamelCase						:					Optional[Dict[str, Any]] = None					,       **__lowerCamelCase						:					Any					,       )    ->   None:






         """simple docstring"""







         UpperCAmelCase							=     {} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=__lowerCamelCase					,       eos_token=__lowerCamelCase					,       unk_token=__lowerCamelCase					,       pad_token=__lowerCamelCase					,       sp_model_kwargs=self.sp_model_kwargs					,       **__lowerCamelCase					,       )

         UpperCAmelCase							=     vocab_file

         UpperCAmelCase							=     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
         self.sp_model.Load(__lowerCamelCase       )





      @property
      def        _lowercase				(		self						:					List[Any]       )    ->   List[Any]:






         """simple docstring"""







         return self.sp_model.get_piece_size()





      def        _lowercase				(		self						:					List[Any]       )    ->   Optional[int]:






         """simple docstring"""







         UpperCAmelCase							=     {self.convert_ids_to_tokens(__lowerCamelCase       ): i for i in range(self.vocab_size       )}
         vocab.update(self.added_tokens_encoder       )
         return vocab





      def __getstate__(		self						:					Optional[Any]       )    ->   Union[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     self.__dict__.copy()
         UpperCAmelCase							=     None
         return state





      def __setstate__(		self						:					int					,       __lowerCamelCase						:					List[str]       )    ->   List[Any]:






         """simple docstring"""







         UpperCAmelCase							=     d

         # for backward compatibility
         if not hasattr(self					,       """sp_model_kwargs"""       ):
            UpperCAmelCase							=     {}

         UpperCAmelCase							=     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
         self.sp_model.Load(self.vocab_file       )





      def        _lowercase				(		self						:					str					,       __lowerCamelCase						:					str       )    ->   List[str]:






         """simple docstring"""







         return self.sp_model.encode(__lowerCamelCase					,       out_type=__lowerCamelCase       )





      def        _lowercase				(		self						:					Tuple					,       __lowerCamelCase						:					Dict       )    ->   Tuple:






         """simple docstring"""







         return self.sp_model.piece_to_id(__lowerCamelCase       )





      def        _lowercase				(		self						:					Union[str, Any]					,       __lowerCamelCase						:					List[Any]       )    ->   Tuple:






         """simple docstring"""







         UpperCAmelCase							=     self.sp_model.IdToPiece(__lowerCamelCase       )
         return token





      def        _lowercase				(		self						:					Optional[int]					,       __lowerCamelCase						:					int       )    ->   List[str]:






         """simple docstring"""







         UpperCAmelCase							=     []
         UpperCAmelCase							=     """"""
         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(__lowerCamelCase       ) + token
               UpperCAmelCase							=     []
            else:
               current_sub_tokens.append(__lowerCamelCase       )
         out_string += self.sp_model.decode(__lowerCamelCase       )
         return out_string.strip()





      def        _lowercase				(		self						:					int					,       __lowerCamelCase						:					Optional[Any]					,       __lowerCamelCase						:					List[Any]=None       )    ->   List[int]:






         """simple docstring"""







         if token_ids_a is None:
            return token_ids_a + [self.eos_token_id]
         # We don't expect to process pairs, but leave the pair logic for API consistency
         return token_ids_a + token_ids_a + [self.eos_token_id]





      def        _lowercase				(		self						:					Dict					,       __lowerCamelCase						:					List[int]					,       __lowerCamelCase						:					Optional[List[int]] = None					,       __lowerCamelCase						:					bool = False       )    ->   List[int]:






         """simple docstring"""







         if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__lowerCamelCase					,       token_ids_a=__lowerCamelCase					,       already_has_special_tokens=__lowerCamelCase       )

         UpperCAmelCase							=     [1]
         if token_ids_a is None:
            return ([0] * len(__lowerCamelCase       )) + suffix_ones
         return ([0] * len(__lowerCamelCase       )) + ([0] * len(__lowerCamelCase       )) + suffix_ones





      def        _lowercase				(		self						:					Tuple					,       __lowerCamelCase						:					str					,       __lowerCamelCase						:					Optional[str] = None       )    ->   Tuple[str]:






         """simple docstring"""







         if not os.path.isdir(__lowerCamelCase       ):
            logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""       )
            return
         UpperCAmelCase							=     os.path.join(
             __lowerCamelCase					,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

         if os.path.abspath(self.vocab_file       ) != os.path.abspath(__lowerCamelCase       ) and os.path.isfile(self.vocab_file       ):
            copyfile(self.vocab_file					,       __lowerCamelCase       )
         elif not os.path.isfile(self.vocab_file       ):
            with open(__lowerCamelCase					,       """wb"""       ) as fi:
               UpperCAmelCase							=     self.sp_model.serialized_model_proto()
               fi.write(__lowerCamelCase       )

         return (out_vocab_file,)







from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->str | Literal[False]:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count += 1
         UpperCAmelCase							=     """_"""
   if count > 1:
      return False
   else:
      return "".join(lowerCAmelCase_   )
def   _UpperCamelCase				(						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   while True:
      UpperCAmelCase							=     ["""$"""] * len(lowerCAmelCase_   )
      UpperCAmelCase							=     []
      for i in range(len(lowerCAmelCase_   )   ):
         for j in range(i + 1  ,						len(lowerCAmelCase_   )   ):
            UpperCAmelCase							=     compare_string(binary[i]  ,						binary[j]   )
            if k is False:
               UpperCAmelCase							=     """*"""
               UpperCAmelCase							=     """*"""
               temp.append("""X"""   )
      for i in range(len(lowerCAmelCase_   )   ):
         if checka[i] == "$":
            pi.append(binary[i]   )
      if len(lowerCAmelCase_   ) == 0:
         return pi
      UpperCAmelCase							=     list(set(lowerCAmelCase_   )   )
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   for minterm in minterms:
      UpperCAmelCase							=     """"""
      for _ in range(lowerCAmelCase_   ):
         UpperCAmelCase							=     str(minterm % 2   ) + string
         minterm //= 2
      temp.append(lowerCAmelCase_   )
   return temp
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )						->bool:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count_n += 1
   return count_n == count
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   UpperCAmelCase							=     [0] * len(lowerCAmelCase_   )
   for i in range(len(chart[0]   )   ):
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      for j in range(len(lowerCAmelCase_   )   ):
         if chart[j][i] == 1:
            count += 1
            UpperCAmelCase							=     j
      if count == 1:
         UpperCAmelCase							=     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_   )   ):
                  UpperCAmelCase							=     0
         temp.append(prime_implicants[i]   )
   while True:
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      UpperCAmelCase							=     0
      for i in range(len(lowerCAmelCase_   )   ):
         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(lowerCAmelCase_   )   ):
               UpperCAmelCase							=     0
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[list[int]]:
   UpperCAmelCase							=     [[0 for x in range(len(lowerCAmelCase_   )   )] for x in range(len(lowerCAmelCase_   )   )]
   for i in range(len(lowerCAmelCase_   )   ):
      UpperCAmelCase							=     prime_implicants[i].count("""_"""   )
      for j in range(len(lowerCAmelCase_   )   ):
         if is_for_table(prime_implicants[i]  ,						binary[j]  ,						lowerCAmelCase_   ):
            UpperCAmelCase							=     1

   return chart
def   _UpperCamelCase				(						)						->None:
   UpperCAmelCase							=     int(input("""Enter the no. of variables\n"""   )   )
   UpperCAmelCase							=     [
       float(lowerCAmelCase_   )
       for x in input(
           """Enter the decimal representation of Minterms 'Spaces Separated'\n"""   ).split()
   ]
   UpperCAmelCase							=     decimal_to_binary(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     check(lowerCAmelCase_   )
   print("""Prime Implicants are:"""   )
   print(lowerCAmelCase_   )
   UpperCAmelCase							=     prime_implicant_chart(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     selection(lowerCAmelCase_  ,						lowerCAmelCase_   )
   print("""Essential Prime Implicants are:"""   )
   print(lowerCAmelCase_   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()



