
from __future__ import annotations

from typing import Any




class 					_SCREAMING_SNAKE_CASE  :
      def __init__(			self		,	lowerCamelCase		,	lowerCamelCase		,	lowerCamelCase = 0 ):
          snake_case__						,					snake_case__						=				row, column
          snake_case__						=				[[default_value for c in range(lowerCamelCase )] for r in range(lowerCamelCase )]
      def __str__(			self ):
          snake_case__						=				F"""Matrix consist of {self.row} rows and {self.column} columns\n"""

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

          # Make string and return
          def single_line(lowerCamelCase ) -> str:
              nonlocal string_format_identifier
              snake_case__						=				"["
              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 ):
          return str(self )
      def A_			(			self		,	lowerCamelCase ):
          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		,	lowerCamelCase ):
          assert self.validate_indicies(lowerCamelCase )
          return self.array[loc[0]][loc[1]]
      def __setitem__(			self		,	lowerCamelCase		,	lowerCamelCase ):
          assert self.validate_indicies(lowerCamelCase )
          snake_case__						=				value
      def __add__(			self		,	lowerCamelCase ):
          assert isinstance(lowerCamelCase		,	lowerCamelCase )
          assert self.row == another.row and self.column == another.column

          # Add
          snake_case__						=				Matrix(self.row		,	self.column )
          for r in range(self.row ):
              for c in range(self.column ):
                  snake_case__						=				self[r, c] + another[r, c]
          return result
      def __neg__(			self ):
          snake_case__						=				Matrix(self.row		,	self.column )
          for r in range(self.row ):
              for c in range(self.column ):
                  snake_case__						=				-self[r, c]
          return result
      def __sub__(			self		,	lowerCamelCase ):
          return self + (-another)
      def __mul__(			self		,	lowerCamelCase ):

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



      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase ):
          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
          snake_case__						=				v.transpose()
          snake_case__						=				(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 	SCREAMING_SNAKE_CASE__    (      ):
         # a^(-1)
         snake_case__						=				Matrix(3    ,		3    ,		0							)
         for i in range(3							):
             snake_case__						=				1
         print(F"""a^(-1) is {ainv}"""							)
         # u, v
         snake_case__						=				Matrix(3    ,		1    ,		0							)
         snake_case__						,					snake_case__						,					snake_case__						=				1, 2, -3
         snake_case__						=				Matrix(3    ,		1    ,		0							)
         snake_case__						,					snake_case__						,					snake_case__						=				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 	SCREAMING_SNAKE_CASE__    (      ):
         import doctest

         doctest.testmod()





     testa()





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


__magic_name__            =  logging.get_logger(__name__)

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

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

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




class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      _A						:		Optional[Any]    	=     VOCAB_FILES_NAMES
      _A						:		Optional[int]    	=     PRETRAINED_VOCAB_FILES_MAP
      _A						:		Any    	=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      def __init__(			self		,	lowerCamelCase		,	lowerCamelCase=False		,	lowerCamelCase=True		,	lowerCamelCase=True		,	lowerCamelCase="[CLS]"		,	lowerCamelCase="[SEP]"		,	lowerCamelCase="[UNK]"		,	lowerCamelCase="[SEP]"		,	lowerCamelCase="[PAD]"		,	lowerCamelCase="[CLS]"		,	lowerCamelCase="[MASK]"		,	**lowerCamelCase		,	):
          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 A_			(			self ):
          return len(self.sp_model )
      def A_			(			self ):
          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 ):
          snake_case__						=				self.__dict__.copy()
          snake_case__						=				None
          return state
      def __setstate__(			self		,	lowerCamelCase ):
          snake_case__						=				d
          snake_case__						=				spm.SentencePieceProcessor()
          self.sp_model.Load(self.vocab_file )
      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase=False ):
          snake_case__						=				self.sp_model.EncodeAsPieces(lowerCamelCase )
          return pieces
      def A_			(			self		,	lowerCamelCase ):
          return self.sp_model.PieceToId(lowerCamelCase )
      def A_			(			self		,	lowerCamelCase ):
          return self.sp_model.IdToPiece(lowerCamelCase )
      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				self.sp_model.decode_pieces(lowerCamelCase )
          return out_string
      def A_			(			self		,	lowerCamelCase		,	lowerCamelCase = 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 A_			(			self		,	lowerCamelCase		,	lowerCamelCase = None		,	lowerCamelCase = 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 A_			(			self		,	lowerCamelCase		,	lowerCamelCase = 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 A_			(			self		,	lowerCamelCase		,	lowerCamelCase = 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,)



