

'''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__      		=			'''▁'''

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

lowerCAmelCase__      		=			{
    '''vocab_file''': {
        '''google/reformer-crime-and-punishment''': (
            '''https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'''
        )
    }
}

lowerCAmelCase__      		=			{
    '''google/reformer-crime-and-punishment''': 52_4288,
}






class     lowercase_			(lowerCamelCase__   ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						Tuple           =    VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE					:						Optional[Any]           =    PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE					:						int           =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE					:						Any           =    ['input_ids', 'attention_mask']






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

   super().__init__(
       eos_token=lowercase__      ,unk_token=lowercase__      ,additional_special_tokens=lowercase__      ,sp_model_kwargs=self.sp_model_kwargs      ,**lowercase__      ,)

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






  @property
  def       SCREAMING_SNAKE_CASE   (   self     :  Any    ):
   return self.sp_model.get_piece_size()






  def       SCREAMING_SNAKE_CASE   (   self     :  Dict    ):
   __lowercase													=				{self.convert_ids_to_tokens(lowercase__    ): i for i in range(self.vocab_size    )}
   vocab.update(self.added_tokens_encoder    )
   return vocab






  def __getstate__(   self     :  Optional[Any]    ):
   __lowercase													=				self.__dict__.copy()
   __lowercase													=				None
   return state






  def __setstate__(   self     :  Any      ,lowercase__     :  List[str]    ):
   __lowercase													=				d

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

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






  def       SCREAMING_SNAKE_CASE   (   self     :  List[str]      ,lowercase__     :  str    ):
   return self.sp_model.encode(lowercase__      ,out_type=lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Union[str, Any]      ,lowercase__     :  Tuple    ):
   return self.sp_model.piece_to_id(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Any      ,lowercase__     :  List[Any]    ):
   if index < self.sp_model.get_piece_size():
    __lowercase													=				self.sp_model.IdToPiece(lowercase__    )
   return token






  def       SCREAMING_SNAKE_CASE   (   self     :  Optional[int]      ,lowercase__     :  List[str]    ):
   __lowercase													=				[]
   __lowercase													=				''''''
   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(lowercase__    ) + token
     __lowercase													=				[]
    else:
     current_sub_tokens.append(lowercase__    )
   out_string += self.sp_model.decode(lowercase__    )
   return out_string.strip()






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

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

   return (out_vocab_file,)




'''simple docstring'''






from __future__ import annotations

from typing import Any






class     lowercase_			:




  """simple docstring"""




  def __init__(   self     :  Any      ,lowercase__     :  int      ,lowercase__     :  int      ,lowercase__     :  float = 0    ):
   __lowercase						,			__lowercase													=				row, column
   __lowercase													=				[[default_value for c in range(lowercase__    )] for r in range(lowercase__    )]






  def __str__(   self     :  List[str]    ):
   __lowercase													=				F"Matrix consist of {self.row} rows and {self.column} columns\n"

   # Make string identifier
   __lowercase													=				0
   for row_vector in self.array:
    for obj in row_vector:
     __lowercase													=				max(lowercase__      ,len(str(lowercase__    )    )    )
   __lowercase													=				F"%{max_element_length}s"

   # Make string and return
   def single_line(lowercase__     :  list[float]    ) -> str:
    nonlocal string_format_identifier
    __lowercase													=				'''['''
    line += ", ".join(string_format_identifier % (obj,) for obj in row_vector    )
    line += "]"
    return line

   s += "\n".join(single_line(lowercase__    ) for row_vector in self.array    )
   return s






  def __repr__(   self     :  List[str]    ):
   return str(self    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Any      ,lowercase__     :  tuple[int, int]    ):
   if not (isinstance(lowercase__      ,(list, tuple)    ) and len(lowercase__    ) == 2):
    return False
   elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
    return False
   else:
    return True






  def __getitem__(   self     :  Tuple      ,lowercase__     :  tuple[int, int]    ):
   assert self.validate_indicies(lowercase__    )
   return self.array[loc[0]][loc[1]]






  def __setitem__(   self     :  Tuple      ,lowercase__     :  tuple[int, int]      ,lowercase__     :  float    ):
   assert self.validate_indicies(lowercase__    )
   __lowercase													=				value






  def __add__(   self     :  List[Any]      ,lowercase__     :  Matrix    ):
   assert isinstance(lowercase__      ,lowercase__    )
   assert self.row == another.row and self.column == another.column

   # Add
   __lowercase													=				Matrix(self.row      ,self.column    )
   for r in range(self.row    ):
    for c in range(self.column    ):
     __lowercase													=				self[r, c] + another[r, c]
   return result






  def __neg__(   self     :  List[str]    ):
   __lowercase													=				Matrix(self.row      ,self.column    )
   for r in range(self.row    ):
    for c in range(self.column    ):
     __lowercase													=				-self[r, c]
   return result






  def __sub__(   self     :  str      ,lowercase__     :  Matrix    ):
   return self + (-another)






  def __mul__(   self     :  Dict      ,lowercase__     :  int | float | Matrix    ):

   if isinstance(lowercase__      ,(int, float)    ):  # Scalar multiplication
    __lowercase													=				Matrix(self.row      ,self.column    )
    for r in range(self.row    ):
     for c in range(self.column    ):
      __lowercase													=				self[r, c] * another
    return result
   elif isinstance(lowercase__      ,lowercase__    ):  # Matrix multiplication
    assert self.column == another.row
    __lowercase													=				Matrix(self.row      ,another.column    )
    for r in range(self.row    ):
     for c in range(another.column    ):
      for i in range(self.column    ):
       result[r, c] += self[r, i] * another[i, c]
    return result
   else:
    __lowercase													=				F"Unsupported type given for another ({type(lowercase__    )})"
    raise TypeError(lowercase__    )






  def       SCREAMING_SNAKE_CASE   (   self     :  Any    ):
   __lowercase													=				Matrix(self.column      ,self.row    )
   for r in range(self.row    ):
    for c in range(self.column    ):
     __lowercase													=				self[r, c]
   return result






  def       SCREAMING_SNAKE_CASE   (   self     :  Any      ,lowercase__     :  Matrix      ,lowercase__     :  Matrix    ):
   assert isinstance(lowercase__      ,lowercase__    ) and isinstance(lowercase__      ,lowercase__    )
   assert self.row == self.column == u.row == v.row  # u, v should be column vector
   assert u.column == v.column == 1  # u, v should be column vector

   # Calculate
   __lowercase													=				v.transpose()
   __lowercase													=				(v_t * self * u)[0, 0] + 1
   if numerator_factor == 0:
    return None  # It's not invertable
   return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":


 def 	_A  (					):






  """simple docstring"""



  __lowercase													=				Matrix(3  ,       3  ,       0   )
  for i in range(3   ):
   __lowercase													=				1
  print(F"a^(-1) is {ainv}"   )
  # u, v
  __lowercase													=				Matrix(3  ,       1  ,       0   )
  __lowercase						,			__lowercase						,			__lowercase													=				1, 2, -3
  __lowercase													=				Matrix(3  ,       1  ,       0   )
  __lowercase						,			__lowercase						,			__lowercase													=				4, -2, 5
  print(F"u is {u}"   )
  print(F"v is {v}"   )
  print(F"uv^T is {u * v.transpose()}"   )
  # Sherman Morrison
  print(F"(a + uv^T)^(-1) is {ainv.sherman_morrison(A__  ,       A__   )}"   )


 def 	_A  (					):






  """simple docstring"""



  import doctest

  doctest.testmod()






 testa()

