

"""simple docstring"""


from __future__ import annotations

from typing import Any

class    __a							:






     '''simple docstring'''

     def __init__(  self		,			_a		,			_a		,			_a = 0     )     ->					Any:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__      :					Optional[int]											=		row, column
           SCREAMING_SNAKE_CASE__      :					int											=		[[default_value for c in range(_lowerCamelCase     )] for r in range(_lowerCamelCase     )]

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


           """simple docstring"""


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

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

           # Make string and return
           def single_line(_a     ) -> str:
                 nonlocal string_format_identifier
                 SCREAMING_SNAKE_CASE__      :					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     )     ->					Union[str, Any]:


           """simple docstring"""


           return str(self     )

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


           """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		,			_a     )     ->					Optional[Any]:


           """simple docstring"""


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

     def __setitem__(  self		,			_a		,			_a     )     ->					Tuple:


           """simple docstring"""


           assert self.validate_indicies(_lowerCamelCase     )
           SCREAMING_SNAKE_CASE__      :					Optional[int]											=		value

     def __add__(  self		,			_a     )     ->					List[Any]:


           """simple docstring"""


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

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

     def __neg__(  self     )     ->					Dict:


           """simple docstring"""


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

     def __sub__(  self		,			_a     )     ->					Optional[Any]:


           """simple docstring"""


           return self + (-another)

     def __mul__(  self		,			_a     )     ->					Optional[Any]:


           """simple docstring"""


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

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


           """simple docstring"""


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





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


           """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
           SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		v.transpose()
           SCREAMING_SNAKE_CASE__      :					List[Any]											=		(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        _lowercase    (			)				-> None:
        # a^(-1)
        SCREAMING_SNAKE_CASE__      :					Optional[int]											=		Matrix(3     ,    3     ,    0							)
        for i in range(3							):
              SCREAMING_SNAKE_CASE__      :					int											=		1
        print(F'''a^(-1) is {ainv}'''							)
        # u, v
        SCREAMING_SNAKE_CASE__      :					Any											=		Matrix(3     ,    1     ,    0							)
        SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__      :					Optional[int]											=		1, 2, -3
        SCREAMING_SNAKE_CASE__      :					str											=		Matrix(3     ,    1     ,    0							)
        SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		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        _lowercase    (			)				-> None:
        import doctest

        doctest.testmod()



  testa()






"""simple docstring"""



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

import sentencepiece as spm

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


UpperCAmelCase__          = logging.get_logger(__name__)

UpperCAmelCase__          = {'vocab_file': 'sentencepiece.model'}

UpperCAmelCase__          = {
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
}

UpperCAmelCase__          = {
    'google/rembert': 256,
}

class       lowerCAmelCase__				(						A_	):
     __a						=					VOCAB_FILES_NAMES
     __a						=					PRETRAINED_VOCAB_FILES_MAP
     __a						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







     def __init__(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			Any    ,      _lowerCamelCase			:			Union[str, Any]=False    ,      _lowerCamelCase			:			Any=True    ,      _lowerCamelCase			:			Optional[Any]=True    ,      _lowerCamelCase			:			int="[CLS]"    ,      _lowerCamelCase			:			Optional[int]="[SEP]"    ,      _lowerCamelCase			:			Optional[int]="[UNK]"    ,      _lowerCamelCase			:			Optional[Any]="[SEP]"    ,      _lowerCamelCase			:			str="[PAD]"    ,      _lowerCamelCase			:			List[Any]="[CLS]"    ,      _lowerCamelCase			:			Any="[MASK]"    ,      **_lowerCamelCase			:			Optional[int]    ,      ):
       super().__init__(
           do_lower_case=_lowerCamelCase    ,      remove_space=_lowerCamelCase    ,      keep_accents=_lowerCamelCase    ,      bos_token=_lowerCamelCase    ,      eos_token=_lowerCamelCase    ,      unk_token=_lowerCamelCase    ,      sep_token=_lowerCamelCase    ,      pad_token=_lowerCamelCase    ,      cls_token=_lowerCamelCase    ,      mask_token=_lowerCamelCase    ,      **_lowerCamelCase    ,      )

       _snake_case					     =       do_lower_case
       _snake_case					     =       remove_space
       _snake_case					     =       keep_accents
       _snake_case					     =       vocab_file

       _snake_case					     =       spm.SentencePieceProcessor()
       self.sp_model.Load(_lowerCamelCase			)







     @property
     def      lowercase	(							self			:			int			):
       return len(self.sp_model			)







     def      lowercase	(							self			:			Any			):
       _snake_case					     =       {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			:			List[str]			):
       _snake_case					     =       self.__dict__.copy()
       _snake_case					     =       None
       return state







     def __setstate__(							self			:			List[str]    ,      _lowerCamelCase			:			Tuple			):
       _snake_case					     =       d
       _snake_case					     =       spm.SentencePieceProcessor()
       self.sp_model.Load(self.vocab_file			)







     def      lowercase	(							self			:			str    ,      _lowerCamelCase			:			List[str]    ,      _lowerCamelCase			:			Tuple=False			):
       _snake_case					     =       self.sp_model.EncodeAsPieces(_lowerCamelCase			)
       return pieces







     def      lowercase	(							self			:			str    ,      _lowerCamelCase			:			str			):
       return self.sp_model.PieceToId(_lowerCamelCase			)







     def      lowercase	(							self			:			List[str]    ,      _lowerCamelCase			:			int			):
       return self.sp_model.IdToPiece(_lowerCamelCase			)







     def      lowercase	(							self			:			Union[str, Any]    ,      _lowerCamelCase			:			Any			):
       _snake_case					     =       self.sp_model.decode_pieces(_lowerCamelCase			)
       return out_string







     def      lowercase	(							self			:			Optional[Any]    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None			):
       _snake_case					     =       [self.sep_token_id]
       _snake_case					     =       [self.cls_token_id]
       if token_ids_a is None:
         return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep







     def      lowercase	(							self			:			Tuple    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None    ,      _lowerCamelCase			:			bool = False			):

       if already_has_special_tokens:
         if token_ids_a is not None:
           raise ValueError(
               '''You should not supply a second sequence if the provided sequence of '''
               '''ids is already formatted with special tokens for the model.'''			)
         return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

       if token_ids_a is not None:
         return [1] + ([0] * len(_lowerCamelCase			)) + [1] + ([0] * len(_lowerCamelCase			)) + [1]
       return [1] + ([0] * len(_lowerCamelCase			)) + [1]







     def      lowercase	(							self			:			Optional[int]    ,      _lowerCamelCase			:			List[int]    ,      _lowerCamelCase			:			Optional[List[int]] = None			):
       _snake_case					     =       [self.sep_token_id]
       _snake_case					     =       [self.cls_token_id]

       if token_ids_a is None:
         return len(cls + token_ids_a + sep			) * [0]
       return len(cls + token_ids_a + sep			) * [0] + len(token_ids_a + sep			) * [1]







     def      lowercase	(							self			:			List[str]    ,      _lowerCamelCase			:			str    ,      _lowerCamelCase			:			Optional[str] = None			):
       if not os.path.isdir(_lowerCamelCase			):
         logger.error('''Vocabulary path ({}) should be a directory'''.format(_lowerCamelCase			)			)
         return
       _snake_case					     =       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			):
         copyfile(self.vocab_file    ,      _lowerCamelCase			)

       return (out_vocab_file,)



