

'''simple docstring'''






from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload






class 			lowercase_	:




  """simple docstring"""




  def __init__(      self   :     Tuple					,lowercase__   :     Collection[float] | None = None			):
   if components is None:
    __lowercase							  = []
   __lowercase							  = list(lowercase__			)






  def __len__(      self   :     str			):
   return len(self.__components			)






  def __str__(      self   :     Optional[int]			):
   return "(" + ",".join(map(lowercase__					,self.__components			)			) + ")"






  def __add__(      self   :     int					,lowercase__   :     Vector			):
   __lowercase							  = len(self			)
   if size == len(lowercase__			):
    __lowercase							  = [self.__components[i] + other.component(lowercase__			) for i in range(lowercase__			)]
    return Vector(lowercase__			)
   else:
    raise Exception('''must have the same size'''			)






  def __sub__(      self   :     int					,lowercase__   :     Vector			):
   __lowercase							  = len(self			)
   if size == len(lowercase__			):
    __lowercase							  = [self.__components[i] - other.component(lowercase__			) for i in range(lowercase__			)]
    return Vector(lowercase__			)
   else:  # error case
    raise Exception('''must have the same size'''			)






  @overload
  def __mul__(      self   :     Tuple					,lowercase__   :     float			):
   ...






  @overload
  def __mul__(      self   :     str					,lowercase__   :     Vector			):
   ...






  def __mul__(      self   :     Any					,lowercase__   :     float | Vector			):
   if isinstance(lowercase__					,(float, int)			):
    __lowercase							  = [c * other for c in self.__components]
    return Vector(lowercase__			)
   elif isinstance(lowercase__					,lowercase__			) and len(self			) == len(lowercase__			):
    __lowercase							  = len(self			)
    __lowercase							  = [self.__components[i] * other.component(lowercase__			) for i in range(lowercase__			)]
    return sum(lowercase__			)
   else:  # error case
    raise Exception('''invalid operand!'''			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]			):
   return Vector(self.__components			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,lowercase__   :     int			):
   if isinstance(lowercase__					,lowercase__			) and -len(self.__components			) <= i < len(self.__components			):
    return self.__components[i]
   else:
    raise Exception('''index out of range'''			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[Any]					,lowercase__   :     int					,lowercase__   :     float			):
   assert -len(self.__components			) <= pos < len(self.__components			)
   __lowercase							  = value






  def 					SCREAMING_SNAKE_CASE      (      self   :     int			):
   if len(self.__components			) == 0:
    raise Exception('''Vector is empty'''			)
   __lowercase							  = [c**2 for c in self.__components]
   return math.sqrt(sum(lowercase__			)			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[Any]					,lowercase__   :     Vector					,lowercase__   :     bool = False			):
   __lowercase							  = self * other
   __lowercase							  = self.euclidean_length() * other.euclidean_length()
   if deg:
    return math.degrees(math.acos(num / den			)			)
   else:
    return math.acos(num / den			)


def 		_A     (    A__      ):






 """simple docstring"""



 assert isinstance(A__     ,				A__      )
 return Vector([0] * dimension      )


def 		_A     (    A__     ,				A__      ):






 """simple docstring"""



 assert isinstance(A__     ,				A__      ) and (isinstance(A__     ,				A__      ))
 __lowercase							  = [0] * dimension
 __lowercase							  = 1
 return Vector(A__      )


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 assert (
     isinstance(A__     ,				A__      )
     and isinstance(A__     ,				A__      )
     and (isinstance(A__     ,				(int, float)      ))
 )
 return x * scalar + y


def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



 random.seed(A__      )
 __lowercase							  = [random.randint(A__     ,				A__      ) for _ in range(A__      )]
 return Vector(A__      )






class 			lowercase_	:




  """simple docstring"""




  def __init__(      self   :     List[Any]					,lowercase__   :     list[list[float]]					,lowercase__   :     int					,lowercase__   :     int			):
   __lowercase							  = matrix
   __lowercase							  = w
   __lowercase							  = h






  def __str__(      self   :     Any			):
   __lowercase							  = ''''''
   for i in range(self.__height			):
    ans += "|"
    for j in range(self.__width			):
     if j < self.__width - 1:
      ans += str(self.__matrix[i][j]			) + ","
     else:
      ans += str(self.__matrix[i][j]			) + "|\n"
   return ans






  def __add__(      self   :     Optional[int]					,lowercase__   :     Matrix			):
   if self.__width == other.width() and self.__height == other.height():
    __lowercase							  = []
    for i in range(self.__height			):
     __lowercase							  = [
         self.__matrix[i][j] + other.component(lowercase__					,lowercase__			)
         for j in range(self.__width			)
     ]
     matrix.append(lowercase__			)
    return Matrix(lowercase__					,self.__width					,self.__height			)
   else:
    raise Exception('''matrix must have the same dimension!'''			)






  def __sub__(      self   :     Any					,lowercase__   :     Matrix			):
   if self.__width == other.width() and self.__height == other.height():
    __lowercase							  = []
    for i in range(self.__height			):
     __lowercase							  = [
         self.__matrix[i][j] - other.component(lowercase__					,lowercase__			)
         for j in range(self.__width			)
     ]
     matrix.append(lowercase__			)
    return Matrix(lowercase__					,self.__width					,self.__height			)
   else:
    raise Exception('''matrices must have the same dimension!'''			)






  @overload
  def __mul__(      self   :     Optional[int]					,lowercase__   :     float			):
   ...






  @overload
  def __mul__(      self   :     List[Any]					,lowercase__   :     Vector			):
   ...






  def __mul__(      self   :     List[Any]					,lowercase__   :     float | Vector			):
   if isinstance(lowercase__					,lowercase__			):  # matrix-vector
    if len(lowercase__			) == self.__width:
     __lowercase							  = zero_vector(self.__height			)
     for i in range(self.__height			):
      __lowercase							  = [
          self.__matrix[i][j] * other.component(lowercase__			)
          for j in range(self.__width			)
      ]
      ans.change_component(lowercase__					,sum(lowercase__			)			)
     return ans
    else:
     raise Exception(
         '''vector must have the same size as the '''
         '''number of columns of the matrix!'''			)
   elif isinstance(lowercase__					,(int, float)			):  # matrix-scalar
    __lowercase							  = [
        [self.__matrix[i][j] * other for j in range(self.__width			)]
        for i in range(self.__height			)
    ]
    return Matrix(lowercase__					,self.__width					,self.__height			)
   return None






  def 					SCREAMING_SNAKE_CASE      (      self   :     List[str]			):
   return self.__height






  def 					SCREAMING_SNAKE_CASE      (      self   :     List[Any]			):
   return self.__width






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,lowercase__   :     int					,lowercase__   :     int			):
   if 0 <= x < self.__height and 0 <= y < self.__width:
    return self.__matrix[x][y]
   else:
    raise Exception('''change_component: indices out of bounds'''			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,lowercase__   :     int					,lowercase__   :     int					,lowercase__   :     float			):
   if 0 <= x < self.__height and 0 <= y < self.__width:
    __lowercase							  = value
   else:
    raise Exception('''change_component: indices out of bounds'''			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     int					,lowercase__   :     int			):
   if self.__height != self.__width:
    raise Exception('''Matrix is not square'''			)
   __lowercase							  = self.__matrix[:x] + self.__matrix[x + 1 :]
   for i in range(len(lowercase__			)			):
    __lowercase							  = minor[i][:y] + minor[i][y + 1 :]
   return Matrix(lowercase__					,self.__width - 1					,self.__height - 1			).determinant()






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     int					,lowercase__   :     int			):
   if self.__height != self.__width:
    raise Exception('''Matrix is not square'''			)
   if 0 <= x < self.__height and 0 <= y < self.__width:
    return (-1) ** (x + y) * self.minor(lowercase__					,lowercase__			)
   else:
    raise Exception('''Indices out of bounds'''			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Dict			):
   if self.__height != self.__width:
    raise Exception('''Matrix is not square'''			)
   if self.__height < 1:
    raise Exception('''Matrix has no element'''			)
   elif self.__height == 1:
    return self.__matrix[0][0]
   elif self.__height == 2:
    return (
        self.__matrix[0][0] * self.__matrix[1][1]
        - self.__matrix[0][1] * self.__matrix[1][0]
    )
   else:
    __lowercase							  = [
        self.__matrix[0][y] * self.cofactor(0					,lowercase__			) for y in range(self.__width			)
    ]
    return sum(lowercase__			)


def 		_A     (    A__      ):






 """simple docstring"""



 __lowercase							  = [[0] * n for _ in range(A__      )]
 return Matrix(A__     ,				A__     ,				A__      )






def 		_A     (    A__     ,				A__     ,				A__     ,				A__      ):






 """simple docstring"""



 random.seed(A__      )
 __lowercase							  = [
     [random.randint(A__     ,				A__      ) for _ in range(A__      )] for _ in range(A__      )
 ]
 return Matrix(A__     ,				A__     ,				A__      )




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

lowerCAmelCase__											=	{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

lowerCAmelCase__											=	{'''bert_for_seq_generation''': 512}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




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






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

   # Add extra_ids to the special token list
   super().__init__(
       bos_token=lowercase__					,eos_token=lowercase__					,unk_token=lowercase__					,pad_token=lowercase__					,sep_token=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   :     Optional[int]			):
   return self.sp_model.get_piece_size()






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]			):
   __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   :     str			):
   __lowercase							  = self.__dict__.copy()
   __lowercase							  = None
   return state






  def __setstate__(      self   :     Optional[int]					,lowercase__   :     Optional[Any]			):
   __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   :     str					,lowercase__   :     str			):
   return self.sp_model.encode(lowercase__					,out_type=lowercase__			)






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






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     Tuple			):
   __lowercase							  = self.sp_model.IdToPiece(lowercase__			)
   return token






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,lowercase__   :     int			):
   __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   :     int					,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,)

