


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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_A		       =						logging.get_logger(__name__)

_A		       =						{'vocab_file': 'sentencepiece.bpe.model'}

_A		       =						{
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
}

_A		       =						{
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

_A		       =						'▁'






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		str      =  VOCAB_FILES_NAMES
    UpperCAmelCase__						:		Tuple      =  PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase__						:		Optional[int]      =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase__						:		List[Any]      =  ["input_ids", "attention_mask"]






    def __init__(			self					,   A_					,   A_="<s>"					,   A_="</s>"					,   A_="</s>"					,   A_="<s>"					,   A_="<unk>"					,   A_="<pad>"					,   A_="<mask>"					,   A_ = None					,   **A_					,   )  ->       None:
         # Mask token behave like a normal word, i.e. include the space before it
         __UpperCamelCase    							=AddedToken(A_					,   lstrip=A_					,   rstrip=A_    ) if isinstance(A_					,   A_    ) else mask_token

         __UpperCamelCase    							={} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=A_					,   eos_token=A_					,   unk_token=A_					,   sep_token=A_					,   cls_token=A_					,   pad_token=A_					,   mask_token=A_					,   sp_model_kwargs=self.sp_model_kwargs					,   **A_					,   )

         __UpperCamelCase    							=vocab_file
         __UpperCamelCase    							=spm.SentencePieceProcessor(**self.sp_model_kwargs    )
         self.sp_model.Load(str(A_    )    )

         __UpperCamelCase    							={'<s>': 0, '<pad>': 1, '</s>': 2, '<unk>': 3}

         __UpperCamelCase    							=len(self.sp_model    ) - 1
         __UpperCamelCase    							={v: k for k, v in self.fairseq_tokens_to_ids.items()}






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[int]:

         if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         __UpperCamelCase    							=[self.cls_token_id]
         __UpperCamelCase    							=[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep






    def _a					(			self					,   A_					,   A_ = None					,   A_ = False    )  ->       List[int]:
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=A_					,   token_ids_a=A_					,   already_has_special_tokens=A_    )

         if token_ids_a is None:
              return [1] + ([0] * len(A_    )) + [1]
         return [1] + ([0] * len(A_    )) + [1, 1] + ([0] * len(A_    )) + [1]






    def _a					(			self					,   A_					,   A_ = None    )  ->       List[int]:
         __UpperCamelCase    							=[self.sep_token_id]
         __UpperCamelCase    							=[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 + sep + token_ids_a + sep    ) * [0]






    @property
    def _a					(			self    )  ->       Optional[Any]:
         return len(self.sp_model    )






    def _a					(			self    )  ->       Dict:
         __UpperCamelCase    							={self.convert_ids_to_tokens(A_    ): i for i in range(self.vocab_size    )}
         vocab.update(self.added_tokens_encoder    )
         return vocab






    def _a					(			self					,   A_    )  ->       List[str]:
         return self.sp_model.encode(A_					,   out_type=A_    )






    def _a					(			self					,   A_    )  ->       Union[str, Any]:
         if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
         __UpperCamelCase    							=self.sp_model.PieceToId(A_    )

         return spm_id if spm_id else self.unk_token_id






    def _a					(			self					,   A_    )  ->       Union[str, Any]:
         if index in self.fairseq_ids_to_tokens:
              return self.fairseq_ids_to_tokens[index]
         return self.sp_model.IdToPiece(A_    )






    def _a					(			self					,   A_    )  ->       Dict:
         __UpperCamelCase    							=[]
         __UpperCamelCase    							=''
         __UpperCamelCase    							=False
         for token in tokens:
              # make sure that special tokens are not decoded using sentencepiece model
              if token in self.all_special_tokens:
                   if not prev_is_special:
                        out_string += " "
                   out_string += self.sp_model.decode(A_    ) + token
                   __UpperCamelCase    							=True
                   __UpperCamelCase    							=[]
              else:
                   current_sub_tokens.append(A_    )
                   __UpperCamelCase    							=False
         out_string += self.sp_model.decode(A_    )
         return out_string.strip()






    def __getstate__(			self    )  ->       int:
         __UpperCamelCase    							=self.__dict__.copy()
         __UpperCamelCase    							=None
         return state






    def __setstate__(			self					,   A_    )  ->       str:
         __UpperCamelCase    							=d

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

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






    def _a					(			self					,   A_					,   A_ = None    )  ->       Tuple[str]:
         if not os.path.isdir(A_    ):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'    )
              return
         __UpperCamelCase    							=os.path.join(
             A_					,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )

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

         return (out_vocab_file,)









from __future__ import annotations

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






class     UpperCAmelCase__       :



    """simple docstring"""






    def __init__(			self					,   A_ = None    )  ->       None:
         if components is None:
              __UpperCamelCase    							=[]
         __UpperCamelCase    							=list(A_    )






    def __len__(			self    )  ->       int:
         return len(self.__components    )






    def __str__(			self    )  ->       str:
         return "(" + ",".join(map(A_					,   self.__components    )    ) + ")"






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






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






    @overload
    def __mul__(			self					,   A_    )  ->       Vector:
         ...






    @overload
    def __mul__(			self					,   A_    )  ->       float:
         ...






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






    def _a					(			self    )  ->       Vector:
         return Vector(self.__components    )






    def _a					(			self					,   A_    )  ->       float:
         if isinstance(A_					,   A_    ) and -len(self.__components    ) <= i < len(self.__components    ):
              return self.__components[i]
         else:
              raise Exception('index out of range'    )






    def _a					(			self					,   A_					,   A_    )  ->       None:
         assert -len(self.__components    ) <= pos < len(self.__components    )
         __UpperCamelCase    							=value






    def _a					(			self    )  ->       float:
         if len(self.__components    ) == 0:
              raise Exception('Vector is empty'    )
         __UpperCamelCase    							=[c**2 for c in self.__components]
         return math.sqrt(sum(A_    )    )






    def _a					(			self					,   A_					,   A_ = False    )  ->       float:
         __UpperCamelCase    							=self * other
         __UpperCamelCase    							=self.euclidean_length() * other.euclidean_length()
         if deg:
              return math.degrees(math.acos(num / den    )    )
         else:
              return math.acos(num / den    )

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
     assert isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
     return Vector([0] * dimension				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     assert isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) and (isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				))
     __UpperCamelCase    							=[0] * dimension
     __UpperCamelCase    							=1
     return Vector(SCREAMING_SNAKE_CASE__				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					float			,     SCREAMING_SNAKE_CASE__			:					Vector			,     SCREAMING_SNAKE_CASE__			:					Vector				):
     assert (
         isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
         and isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
         and (isinstance(SCREAMING_SNAKE_CASE__			,     (int, float)				))
     )
     return x * scalar + y

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     random.seed(SCREAMING_SNAKE_CASE__				)
     __UpperCamelCase    							=[random.randint(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) for _ in range(SCREAMING_SNAKE_CASE__				)]
     return Vector(SCREAMING_SNAKE_CASE__				)






class     UpperCAmelCase__       :



    """simple docstring"""






    def __init__(			self					,   A_					,   A_					,   A_    )  ->       None:
         __UpperCamelCase    							=matrix
         __UpperCamelCase    							=w
         __UpperCamelCase    							=h






    def __str__(			self    )  ->       str:
         __UpperCamelCase    							=''
         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					,   A_    )  ->       Matrix:
         if self.__width == other.width() and self.__height == other.height():
              __UpperCamelCase    							=[]
              for i in range(self.__height    ):
                   __UpperCamelCase    							=[
                       self.__matrix[i][j] + other.component(A_					,   A_    )
                       for j in range(self.__width    )
                   ]
                   matrix.append(A_    )
              return Matrix(A_					,   self.__width					,   self.__height    )
         else:
              raise Exception('matrix must have the same dimension!'    )






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






    @overload
    def __mul__(			self					,   A_    )  ->       Matrix:
         ...






    @overload
    def __mul__(			self					,   A_    )  ->       Vector:
         ...






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






    def _a					(			self    )  ->       int:
         return self.__height






    def _a					(			self    )  ->       int:
         return self.__width






    def _a					(			self					,   A_					,   A_    )  ->       float:
         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 _a					(			self					,   A_					,   A_					,   A_    )  ->       None:
         if 0 <= x < self.__height and 0 <= y < self.__width:
              __UpperCamelCase    							=value
         else:
              raise Exception('change_component: indices out of bounds'    )






    def _a					(			self					,   A_					,   A_    )  ->       float:
         if self.__height != self.__width:
              raise Exception('Matrix is not square'    )
         __UpperCamelCase    							=self.__matrix[:x] + self.__matrix[x + 1 :]
         for i in range(len(A_    )    ):
              __UpperCamelCase    							=minor[i][:y] + minor[i][y + 1 :]
         return Matrix(A_					,   self.__width - 1					,   self.__height - 1    ).determinant()






    def _a					(			self					,   A_					,   A_    )  ->       float:
         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(A_					,   A_    )
         else:
              raise Exception('Indices out of bounds'    )






    def _a					(			self    )  ->       float:
         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:
              __UpperCamelCase    							=[
                  self.__matrix[0][y] * self.cofactor(0					,   A_    ) for y in range(self.__width    )
              ]
              return sum(A_    )

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
     __UpperCamelCase    							=[[0] * n for _ in range(SCREAMING_SNAKE_CASE__				)]
     return Matrix(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)





def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     random.seed(SCREAMING_SNAKE_CASE__				)
     __UpperCamelCase    							=[
         [random.randint(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) for _ in range(SCREAMING_SNAKE_CASE__				)] for _ in range(SCREAMING_SNAKE_CASE__				)
     ]
     return Matrix(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)





