


'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_barthez import BarthezTokenizer
else:
  UpperCamelCase__          = None

UpperCamelCase__          = logging.get_logger(__name__)

UpperCamelCase__          = {'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase__          = {
    '''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'''
        ),
    },
    '''tokenizer_file''': {
        '''moussaKam/mbarthez''': '''https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez''': '''https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json''',
        '''moussaKam/barthez-orangesum-title''': (
            '''https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'''
        ),
    },
}

UpperCamelCase__          = {
    '''moussaKam/mbarthez''': 1_0_2_4,
    '''moussaKam/barthez''': 1_0_2_4,
    '''moussaKam/barthez-orangesum-title''': 1_0_2_4,
}

UpperCamelCase__          = '''▁'''




class      lowerCamelCase_  (      __a ):
      lowerCAmelCase__							=	VOCAB_FILES_NAMES
      lowerCAmelCase__							=	PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__							=	['input_ids', 'attention_mask']
      lowerCAmelCase__							=	BarthezTokenizer






      def __init__(   self							:       Optional[Any]		,		_A							:       int=None		,		_A							:       Optional[int]=None		,		_A							:       str="<s>"		,		_A							:       Optional[Any]="</s>"		,		_A							:       Union[str, Any]="</s>"		,		_A							:       Any="<s>"		,		_A							:       str="<unk>"		,		_A							:       str="<pad>"		,		_A							:       Union[str, Any]="<mask>"		,		**_A							:       str		,		):


          '''simple docstring'''


          UpperCAmelCase__     :						Dict						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else mask_token

          super().__init__(
              _A		,		tokenizer_file=_A		,		bos_token=_A		,		eos_token=_A		,		unk_token=_A		,		sep_token=_A		,		cls_token=_A		,		pad_token=_A		,		mask_token=_A		,		**_A		,		)

          UpperCAmelCase__     :						Any						=							vocab_file
          UpperCAmelCase__     :						Union[str, Any]						=							False if not self.vocab_file else True






      def lowercase_				(   self							:       Union[str, Any]		,		_A							:       List[int]		,		_A							:       Optional[List[int]] = None					):


          '''simple docstring'''


          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          UpperCAmelCase__     :						Optional[Any]						=							[self.cls_token_id]
          UpperCAmelCase__     :						Optional[int]						=							[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep






      def lowercase_				(   self							:       Union[str, Any]		,		_A							:       List[int]		,		_A							:       Optional[List[int]] = None					):


          '''simple docstring'''


          UpperCAmelCase__     :						int						=							[self.sep_token_id]
          UpperCAmelCase__     :						Union[str, Any]						=							[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]






      def lowercase_				(   self							:       Union[str, Any]		,		_A							:       str		,		_A							:       Optional[str] = None					):


          '''simple docstring'''


          if not self.can_save_slow_tokenizer:
              raise ValueError(
                  '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                  '''tokenizer.'''					)

          if not os.path.isdir(_A					):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""					)
              return
          UpperCAmelCase__     :						List[str]						=							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					):
              copyfile(self.vocab_file		,		_A					)

          return (out_vocab_file,)








# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE   =  TypeVar("T")






class 					SCREAMING_SNAKE_CASE_  (       Generic[T] ):
       """simple docstring"""


       def __init__(				self	:List[Any],      snake_case	:bool = True):



          """simple docstring"""

          _lowercase              ={}  # dictionary of lists
          _lowercase              =directed





       def 				UpperCamelCase__						(				self	:Optional[Any],      snake_case	:T,      snake_case	:T):



          """simple docstring"""

          if not self.directed:  # For undirected graphs
             # if both source vertex and destination vertex are both present in the
             # adjacency list, add destination vertex to source vertex list of adjacent
             # vertices and add source vertex to destination vertex list of adjacent
             # vertices.
             if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                self.adj_list[source_vertex].append(snake_case)
                self.adj_list[destination_vertex].append(snake_case)
             # if only source vertex is present in adjacency list, add destination vertex
             # to source vertex list of adjacent vertices, then create a new vertex with
             # destination vertex as key and assign a list containing the source vertex
             # as it's first adjacent vertex.
             elif source_vertex in self.adj_list:
                self.adj_list[source_vertex].append(snake_case)
                _lowercase              =[source_vertex]
             # if only destination vertex is present in adjacency list, add source vertex
             # to destination vertex list of adjacent vertices, then create a new vertex
             # with source vertex as key and assign a list containing the source vertex
             # as it's first adjacent vertex.
             elif destination_vertex in self.adj_list:
                self.adj_list[destination_vertex].append(snake_case)
                _lowercase              =[destination_vertex]
             # if both source vertex and destination vertex are not present in adjacency
             # list, create a new vertex with source vertex as key and assign a list
             # containing the destination vertex as it's first adjacent vertex also
             # create a new vertex with destination vertex as key and assign a list
             # containing the source vertex as it's first adjacent vertex.
             else:
                _lowercase              =[destination_vertex]
                _lowercase              =[source_vertex]
          else:  # For directed graphs
             # if both source vertex and destination vertex are present in adjacency
             # list, add destination vertex to source vertex list of adjacent vertices.
             if source_vertex in self.adj_list and destination_vertex in self.adj_list:
                self.adj_list[source_vertex].append(snake_case)
             # if only source vertex is present in adjacency list, add destination
             # vertex to source vertex list of adjacent vertices and create a new vertex
             # with destination vertex as key, which has no adjacent vertex
             elif source_vertex in self.adj_list:
                self.adj_list[source_vertex].append(snake_case)
                _lowercase              =[]
             # if only destination vertex is present in adjacency list, create a new
             # vertex with source vertex as key and assign a list containing destination
             # vertex as first adjacent vertex
             elif destination_vertex in self.adj_list:
                _lowercase              =[destination_vertex]
             # if both source vertex and destination vertex are not present in adjacency
             # list, create a new vertex with source vertex as key and a list containing
             # destination vertex as it's first adjacent vertex. Then create a new vertex
             # with destination vertex as key, which has no adjacent vertex
             else:
                _lowercase              =[destination_vertex]
                _lowercase              =[]

          return self





       def __repr__(				self	:Optional[int]):



          """simple docstring"""

          return pformat(self.adj_list)


