
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  			=					None

__a  			=					logging.get_logger(__name__)

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

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

__a  			=					'▁'
class  lowercase__(				_A							):



	"""simple docstring"""




	a			:str         =	VOCAB_FILES_NAMES
	a			:List[Any]         =	PRETRAINED_VOCAB_FILES_MAP
	a			:Dict         =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	a			:Optional[Any]         =	['input_ids', 'attention_mask']
	a			:Optional[Any]         =	BarthezTokenizer
	def __init__(       self  :			Any       ,							SCREAMING_SNAKE_CASE_  :			List[str]=None       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=None       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]="<s>"       ,							SCREAMING_SNAKE_CASE_  :			List[str]="</s>"       ,							SCREAMING_SNAKE_CASE_  :			str="</s>"       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]="<s>"       ,							SCREAMING_SNAKE_CASE_  :			int="<unk>"       ,							SCREAMING_SNAKE_CASE_  :			Tuple="<pad>"       ,							SCREAMING_SNAKE_CASE_  :			Tuple="<mask>"       ,							**SCREAMING_SNAKE_CASE_  :			List[Any]       ,							)       ->     List[Any]:
					lowercase_       =					AddedToken(UpperCamelCase__       ,							lstrip=UpperCamelCase__       ,							rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__       ,							UpperCamelCase__       ) else mask_token

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

					lowercase_       =					vocab_file
					lowercase_       =					False if not self.vocab_file else True
	def 						_lowercase  (       self  :			Optional[Any]       ,							SCREAMING_SNAKE_CASE_  :			List[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[List[int]] = None       )       ->     List[int]:






					if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					lowercase_       =					[self.cls_token_id]
					lowercase_       =					[self.sep_token_id]
					return cls + token_ids_a + sep + sep + token_ids_a + sep
	def 						_lowercase  (       self  :			int       ,							SCREAMING_SNAKE_CASE_  :			List[int]       ,							SCREAMING_SNAKE_CASE_  :			Optional[List[int]] = None       )       ->     List[int]:
					lowercase_       =					[self.sep_token_id]
					lowercase_       =					[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  :			int       ,							SCREAMING_SNAKE_CASE_  :			str       ,							SCREAMING_SNAKE_CASE_  :			Optional[str] = None       )       ->     Tuple[str]:






					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(UpperCamelCase__       ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
									return
					lowercase_       =					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__       ):
									copyfile(self.vocab_file       ,							UpperCamelCase__       )

					return (out_vocab_file,)






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase			:     List[Any]           =   logging.get_logger(__name__)

__lowerCAmelCase			:     int           =   {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		"""biogpt"""
  def __init__( self			: List[str]			,							UpperCamelCase__			: Optional[Any]=4_2384			,							UpperCamelCase__			: Union[str, Any]=1024			,							UpperCamelCase__			: Any=24			,							UpperCamelCase__			: Union[str, Any]=16			,							UpperCamelCase__			: Tuple=4096			,							UpperCamelCase__			: Tuple="gelu"			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: str=1024			,							UpperCamelCase__			: Any=0.02			,							UpperCamelCase__			: List[str]=1E-12			,							UpperCamelCase__			: Dict=True			,							UpperCamelCase__			: Optional[int]=True			,							UpperCamelCase__			: Union[str, Any]=0.0			,							UpperCamelCase__			: Any=0.0			,							UpperCamelCase__			: List[str]=1			,							UpperCamelCase__			: Dict=0			,							UpperCamelCase__			: List[str]=2			,							**UpperCamelCase__			: Optional[int]			,							)			->	Tuple:







    """simple docstring"""






    __magic_name__				     =       vocab_size
    __magic_name__				     =       max_position_embeddings
    __magic_name__				     =       hidden_size
    __magic_name__				     =       num_hidden_layers
    __magic_name__				     =       num_attention_heads
    __magic_name__				     =       intermediate_size
    __magic_name__				     =       hidden_act
    __magic_name__				     =       hidden_dropout_prob
    __magic_name__				     =       attention_probs_dropout_prob
    __magic_name__				     =       initializer_range
    __magic_name__				     =       layer_norm_eps
    __magic_name__				     =       scale_embedding
    __magic_name__				     =       use_cache
    __magic_name__				     =       layerdrop
    __magic_name__				     =       activation_dropout
    super().__init__(pad_token_id=UpperCamelCase__			,							bos_token_id=UpperCamelCase__			,							eos_token_id=UpperCamelCase__			,							**UpperCamelCase__    )

