





"""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


A			      =	logging.get_logger(__name__)


A			      =	'''▁'''

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

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

A			      =	{
    '''google/reformer-crime-and-punishment''': 524_288,
}




class 					__lowercase      (      UpperCAmelCase_				):







					'''simple docstring'''




					__lowerCAmelCase	=	VOCAB_FILES_NAMES
					__lowerCAmelCase	=	PRETRAINED_VOCAB_FILES_MAP
					__lowerCAmelCase	=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__lowerCAmelCase	=	['''input_ids''', '''attention_mask''']







					def __init__(    self						,      _UpperCAmelCase						,      _UpperCAmelCase="</s>"						,      _UpperCAmelCase="<unk>"						,      _UpperCAmelCase=[]						,      _UpperCAmelCase = None						,      **_UpperCAmelCase						,      ):
									__a			:    Optional[Any]      							=	{} if sp_model_kwargs is None else sp_model_kwargs

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

									__a			:    Union[str, Any]      							=	vocab_file
									__a			:    Optional[Any]      							=	spm.SentencePieceProcessor(**self.sp_model_kwargs  )
									self.sp_model.Load(lowerCamelCase__  )







					@property
					def 			_lowerCamelCase		(    self  ):
									return self.sp_model.get_piece_size()







					def 			_lowerCamelCase		(    self  ):
									__a			:    Optional[Any]      							=	{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  ):
									__a			:    str      							=	self.__dict__.copy()
									__a			:    Any      							=	None
									return state







					def __setstate__(    self						,      _UpperCAmelCase  ):
									__a			:    Any      							=	d

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

									__a			:    str      							=	spm.SentencePieceProcessor(**self.sp_model_kwargs  )
									self.sp_model.Load(self.vocab_file  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									return self.sp_model.encode(lowerCamelCase__						,      out_type=lowerCamelCase__  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									return self.sp_model.piece_to_id(lowerCamelCase__  )







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):

									if index < self.sp_model.get_piece_size():
													__a			:    Tuple      							=	self.sp_model.IdToPiece(lowerCamelCase__  )
									return token







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase  ):
									__a			:    List[str]      							=	[]
									__a			:    Optional[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(lowerCamelCase__  ) + token
																	__a			:    Dict      							=	[]
													else:
																	current_sub_tokens.append(lowerCamelCase__  )
									out_string += self.sp_model.decode(lowerCamelCase__  )
									return out_string.strip()







					def 			_lowerCamelCase		(    self						,      _UpperCAmelCase						,      _UpperCAmelCase = None  ):

									if not os.path.isdir(lowerCamelCase__  ):
													logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""  )
													return
									__a			:    Union[str, Any]      							=	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:
																	__a			:    List[str]      							=	self.sp_model.serialized_model_proto()
																	fi.write(lowerCamelCase__  )

									return (out_vocab_file,)







from __future__ import annotations

from typing import Any







class 		_A						:

  def __init__(    self						:	List[Any]   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	int   ,				lowerCamelCase__						:	float = 0			):
     """simple docstring"""

     __UpperCamelCase	,     __UpperCamelCase	:			Tuple					=					row, column
     __UpperCamelCase	:			Tuple					=					[[default_value for c in range(lowerCamelCase__			)] for r in range(lowerCamelCase__			)]

  def __str__(    self						:	List[Any]			):
     """simple docstring"""

     __UpperCamelCase	:			Dict					=					f'Matrix consist of {self.row} rows and {self.column} columns\n'

     # Make string identifier
     __UpperCamelCase	:			Optional[int]					=					0
     for row_vector in self.array:
        for obj in row_vector:
           __UpperCamelCase	:			int					=					max(lowerCamelCase__   ,				len(str(lowerCamelCase__			)			)			)
     __UpperCamelCase	:			Union[str, Any]					=					f'%{max_element_length}s'

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

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

  def __repr__(    self						:	Any			):
     """simple docstring"""

     return str(self			)

  def    a					(    self						:	str   ,				lowerCamelCase__						:	tuple[int, int]			):
     """simple docstring"""

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

  def __getitem__(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	tuple[int, int]			):
     """simple docstring"""

     assert self.validate_indicies(lowerCamelCase__			)
     return self.array[loc[0]][loc[1]]

  def __setitem__(    self						:	Union[str, Any]   ,				lowerCamelCase__						:	tuple[int, int]   ,				lowerCamelCase__						:	float			):
     """simple docstring"""

     assert self.validate_indicies(lowerCamelCase__			)
     __UpperCamelCase	:			str					=					value

  def __add__(    self						:	int   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     assert isinstance(lowerCamelCase__   ,				lowerCamelCase__			)
     assert self.row == another.row and self.column == another.column

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

  def __neg__(    self						:	Optional[int]			):
     """simple docstring"""

     __UpperCamelCase	:			str					=					Matrix(self.row   ,				self.column			)
     for r in range(self.row			):
        for c in range(self.column			):
           __UpperCamelCase	:			Any					=					-self[r, c]
     return result

  def __sub__(    self						:	Tuple   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     return self + (-another)

  def __mul__(    self						:	Tuple   ,				lowerCamelCase__						:	int | float | Matrix			):
     """simple docstring"""

     if isinstance(lowerCamelCase__   ,				(int, float)			):  # Scalar multiplication
        __UpperCamelCase	:			List[str]					=					Matrix(self.row   ,				self.column			)
        for r in range(self.row			):
           for c in range(self.column			):
              __UpperCamelCase	:			Tuple					=					self[r, c] * another
        return result
     elif isinstance(lowerCamelCase__   ,				lowerCamelCase__			):  # Matrix multiplication
        assert self.column == another.row
        __UpperCamelCase	:			List[Any]					=					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:
        __UpperCamelCase	:			Any					=					f'Unsupported type given for another ({type(lowerCamelCase__			)})'
        raise TypeError(lowerCamelCase__			)

  def    a					(    self						:	Union[str, Any]			):
     """simple docstring"""

     __UpperCamelCase	:			Dict					=					Matrix(self.column   ,				self.row			)
     for r in range(self.row			):
        for c in range(self.column			):
           __UpperCamelCase	:			str					=					self[r, c]
     return result

  def    a					(    self						:	Any   ,				lowerCamelCase__						:	Matrix   ,				lowerCamelCase__						:	Matrix			):
     """simple docstring"""

     assert isinstance(lowerCamelCase__   ,				lowerCamelCase__			) and isinstance(lowerCamelCase__   ,				lowerCamelCase__			)
     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
     __UpperCamelCase	:			Optional[int]					=					v.transpose()
     __UpperCamelCase	:			Tuple					=					(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 				__lowerCamelCase     (							)     ->  None:
          # a^(-1)
          __UpperCamelCase	:			str					=					Matrix(3					,							3					,							0							)
          for i in range(3							):
             __UpperCamelCase	:			List[str]					=					1
          print(f'a^(-1) is {ainv}'							)
          # u, v
          __UpperCamelCase	:			Any					=					Matrix(3					,							1					,							0							)
          __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	:			Any					=					1, 2, -3
          __UpperCamelCase	:			int					=					Matrix(3					,							1					,							0							)
          __UpperCamelCase	,     __UpperCamelCase	,     __UpperCamelCase	:			Dict					=					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(__lowerCAmelCase					,							__lowerCAmelCase							)}'							)


       def 				__lowerCamelCase     (							)     ->  None:
          import doctest

          doctest.testmod()



       testa()



