"""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:
     _a   :	Tuple 					=     None

_a   :	List[str] 					=     logging.get_logger(__name__)

_a   :	Optional[Any] 					=     {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

_a   :	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'
        ),
    },
    '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'
        ),
    },
}

_a   :	Dict 					=     {
    'moussaKam/mbarthez': 1_024,
    'moussaKam/barthez': 1_024,
    'moussaKam/barthez-orangesum-title': 1_024,
}

_a   :	Optional[Any] 					=     '▁'
class 		__A							(				SCREAMING_SNAKE_CASE_	):
     _UpperCamelCase							:    Tuple	      =	VOCAB_FILES_NAMES
     _UpperCamelCase							:    Tuple	      =	PRETRAINED_VOCAB_FILES_MAP
     _UpperCamelCase							:    List[Any]	      =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _UpperCamelCase							:    List[str]	      =	["input_ids", "attention_mask"]
     _UpperCamelCase							:    List[str]	      =	BarthezTokenizer






     def __init__(	self       ,  a__=None       ,  a__=None       ,  a__="<s>"       ,  a__="</s>"       ,  a__="</s>"       ,  a__="<s>"       ,  a__="<unk>"       ,  a__="<pad>"       ,  a__="<mask>"       ,  **a__       ,  ):
       # Mask token behave like a normal word, i.e. include the space before it
       _lowerCAmelCase		: Optional[int]						    =	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__       ,  )

       _lowerCAmelCase		: Optional[Any]						    =	vocab_file
       _lowerCAmelCase		: Dict						    =	False if not self.vocab_file else True






     def 					__A						(	self       ,  a__       ,  a__ = None						):

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






     def 					__A						(	self       ,  a__       ,  a__ = None						):
       _lowerCAmelCase		: Tuple						    =	[self.sep_token_id]
       _lowerCAmelCase		: 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 					__A						(	self       ,  a__       ,  a__ = None						):
       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
       _lowerCAmelCase		: 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,)





"""simple docstring"""




class 		__A							(				SCREAMING_SNAKE_CASE_	):
     pass







class 		__A							(				SCREAMING_SNAKE_CASE_	):
     pass







class 		__A							:






     def __init__(	self						):
       _lowerCAmelCase		: Union[str, Any]						    =  [
           [],
           [],
           [],
       ]






     def 					__A						(	self       ,  a__       ,  a__						):
       try:
         if len(self.queues[priority]						) >= 100:
           raise OverflowError("""Maximum queue size is 100"""						)
         self.queues[priority].append(a__						)
       except IndexError:
         raise ValueError("""Valid priorities are 0, 1, and 2"""						)






     def 					__A						(	self						):
       for queue in self.queues:
         if queue:
           return queue.pop(0						)
       raise UnderFlowError("""All queues are empty"""						)






     def __str__(	self						):
       return "\n".join(F"Priority {i}: {q}" for i, q in enumerate(self.queues						)						)







class 		__A							:






     def __init__(	self						):
       _lowerCAmelCase		: int						    =  []






     def 					__A						(	self       ,  a__						):
       if len(self.queue						) == 100:
         raise OverFlowError("""Maximum queue size is 100"""						)
       self.queue.append(a__						)






     def 					__A						(	self						):
       if not self.queue:
         raise UnderFlowError("""The queue is empty"""						)
       else:
         _lowerCAmelCase		: int						    =  min(self.queue						)
         self.queue.remove(a__						)
         return data






     def __str__(	self						):
       return str(self.queue						)







def 							SCREAMING_SNAKE_CASE  (    ) ->   str:
  _lowerCAmelCase		: Union[str, Any]						    =  FixedPriorityQueue()
  fpq.enqueue(0    ,10			)
  fpq.enqueue(1    ,70			)
  fpq.enqueue(0    ,100			)
  fpq.enqueue(2    ,1			)
  fpq.enqueue(2    ,5			)
  fpq.enqueue(1    ,7			)
  fpq.enqueue(2    ,4			)
  fpq.enqueue(1    ,64			)
  fpq.enqueue(0    ,128			)
  print(_lowerCamelCase			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(_lowerCamelCase			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)
  print(fpq.dequeue()			)





def 							SCREAMING_SNAKE_CASE  (    ) ->   Union[str, Any]:
  _lowerCAmelCase		: Tuple						    =  ElementPriorityQueue()
  epq.enqueue(10			)
  epq.enqueue(70			)
  epq.enqueue(100			)
  epq.enqueue(1			)
  epq.enqueue(5			)
  epq.enqueue(7			)
  epq.enqueue(4			)
  epq.enqueue(64			)
  epq.enqueue(128			)
  print(_lowerCamelCase			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(_lowerCamelCase			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)
  print(epq.dequeue()			)


if __name__ == "__main__":
     fixed_priority_queue()
     element_priority_queue()




