
"""simple docstring"""

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


UpperCamelCase     :    Any       =			logging.get_logger(__name__)

UpperCamelCase     :    List[str]       =			{"vocab_file": "sentencepiece.bpe.model"}

UpperCamelCase     :    Tuple       =			{
    "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"
        ),
    },
}

UpperCamelCase     :    Tuple       =			{
    "moussaKam/mbarthez": 1_0_2_4,
    "moussaKam/barthez": 1_0_2_4,
    "moussaKam/barthez-orangesum-title": 1_0_2_4,
}

UpperCamelCase     :    int       =			"▁"

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):
     lowercase						       =						VOCAB_FILES_NAMES
     lowercase						       =						PRETRAINED_VOCAB_FILES_MAP
     lowercase						       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase						       =						["input_ids", "attention_mask"]





     def __init__(     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase="<s>"     ,					__UpperCAmelCase="</s>"     ,					__UpperCAmelCase="</s>"     ,					__UpperCAmelCase="<s>"     ,					__UpperCAmelCase="<unk>"     ,					__UpperCAmelCase="<pad>"     ,					__UpperCAmelCase="<mask>"     ,					__UpperCAmelCase = None     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	AddedToken(__UpperCAmelCase     ,					lstrip=__UpperCAmelCase     ,					rstrip=__UpperCAmelCase				) if isinstance(__UpperCAmelCase     ,					__UpperCAmelCase				) else mask_token

      __UpperCamelCase      =	{} if sp_model_kwargs is None else sp_model_kwargs

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

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

      __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 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      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 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None     ,					__UpperCAmelCase = False				):

      '''simple docstring'''




      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=__UpperCAmelCase     ,					token_ids_a=__UpperCAmelCase     ,					already_has_special_tokens=__UpperCAmelCase				)

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





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      __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 						UpperCAmelCase (     self				):

      '''simple docstring'''




      return len(self.sp_model				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	{self.convert_ids_to_tokens(__UpperCAmelCase				): i for i in range(self.vocab_size				)}
      vocab.update(self.added_tokens_encoder				)
      return vocab





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      return self.sp_model.encode(__UpperCAmelCase     ,					out_type=__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      if token in self.fairseq_tokens_to_ids:
       return self.fairseq_tokens_to_ids[token]
      __UpperCamelCase      =	self.sp_model.PieceToId(__UpperCAmelCase				)

      return spm_id if spm_id else self.unk_token_id





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      if index in self.fairseq_ids_to_tokens:
       return self.fairseq_ids_to_tokens[index]
      return self.sp_model.IdToPiece(__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __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(__UpperCAmelCase				) + token
        __UpperCamelCase      =	True
        __UpperCamelCase      =	[]
       else:
        current_sub_tokens.append(__UpperCAmelCase				)
        __UpperCamelCase      =	False
      out_string += self.sp_model.decode(__UpperCAmelCase				)
      return out_string.strip()





     def __getstate__(     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.__dict__.copy()
      __UpperCamelCase      =	None
      return state





     def __setstate__(     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __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 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				):

      '''simple docstring'''




      if not os.path.isdir(__UpperCAmelCase				):
       logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
       return
      __UpperCamelCase      =	os.path.join(
          __UpperCAmelCase     ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']				)

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

      return (out_vocab_file,)





"""simple docstring"""

import heapq as hq
import math
from collections.abc import Iterator

class __lowerCAmelCase		:





     def __init__(     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	str(id_				)
      __UpperCamelCase      =	None
      __UpperCamelCase      =	None
      __UpperCamelCase      =	[]
      __UpperCamelCase      =	{}  # {vertex:distance}





     def __lt__(     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      return self.key < other.key





     def __repr__(     self				):

      '''simple docstring'''




      return self.id





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      self.neighbors.append(__UpperCAmelCase				)







     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	weight






def 							A						(    snake_case				:List[Any]    , snake_case				:Dict    , snake_case				:Any    , snake_case				:str		)				->     List[str]:
 # add the neighbors:
 graph[a - 1].add_neighbor(graph[b - 1]		)
 graph[b - 1].add_neighbor(graph[a - 1]		)
 # add the edges:
 graph[a - 1].add_edge(graph[b - 1]    , snake_case		)
 graph[b - 1].add_edge(graph[a - 1]    , snake_case		)






def 							A						(    snake_case				:list    , snake_case				:Vertex		)				->     list:
 __UpperCamelCase      =	[]
 for u in graph:
  __UpperCamelCase      =	math.inf
  __UpperCamelCase      =	None
 __UpperCamelCase      =	0
 __UpperCamelCase      =	graph[:]
 while q:
  __UpperCamelCase      =	min(snake_case		)
  q.remove(snake_case		)
  for v in u.neighbors:
   if (v in q) and (u.edges[v.id] < v.key):
    __UpperCamelCase      =	u
    __UpperCamelCase      =	u.edges[v.id]
 for i in range(1    , len(snake_case		)		):
  a.append((int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)		)
 return a






def 							A						(    snake_case				:list    , snake_case				:Vertex		)				->     Iterator[tuple]:
 for u in graph:
  __UpperCamelCase      =	math.inf
  __UpperCamelCase      =	None
 __UpperCamelCase      =	0

 __UpperCamelCase      =	list(snake_case		)
 hq.heapify(snake_case		)

 while h:
  __UpperCamelCase      =	hq.heappop(snake_case		)
  for v in u.neighbors:
   if (v in h) and (u.edges[v.id] < v.key):
    __UpperCamelCase      =	u
    __UpperCamelCase      =	u.edges[v.id]
    hq.heapify(snake_case		)

 for i in range(1    , len(snake_case		)		):
  yield (int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)






def 							A						(    )				->     None:
 pass


if __name__ == "__main__":
      import doctest

      doctest.testmod()



