






"""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:
					SCREAMING_SNAKE_CASE						:						List[Any]					   =       None

SCREAMING_SNAKE_CASE						:						Tuple					   =       logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:						Union[str, Any]					   =       {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

SCREAMING_SNAKE_CASE						:						Optional[int]					   =       {
    """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"""
        ),
    },
}

SCREAMING_SNAKE_CASE						:						Union[str, Any]					   =       {
    """moussaKam/mbarthez""": 1_024,
    """moussaKam/barthez""": 1_024,
    """moussaKam/barthez-orangesum-title""": 1_024,
}

SCREAMING_SNAKE_CASE						:						Optional[Any]					   =       """▁"""





class       snake_case_       (    _lowerCAmelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Any   			=					VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE_:							List[str]   			=					PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE_:							Optional[Any]   			=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE_:							Optional[Any]   			=					['input_ids', 'attention_mask']
	SCREAMING_SNAKE_CASE_:							Tuple   			=					BarthezTokenizer


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


					"""simple docstring"""

					A__							 =       AddedToken(_lowerCAmelCase  ,					lstrip=_lowerCAmelCase  ,					rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase  ,					_lowerCAmelCase						) else mask_token

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

					A__							 =       vocab_file
					A__							 =       False if not self.vocab_file else True


	def       _UpperCAmelCase						(      self  ,					__a  ,					__a = None						):


					"""simple docstring"""

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


	def       _UpperCAmelCase						(      self  ,					__a  ,					__a = None						):


					"""simple docstring"""

					A__							 =       [self.sep_token_id]
					A__							 =       [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       _UpperCAmelCase						(      self  ,					__a  ,					__a = 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(_lowerCAmelCase						):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
									return
					A__							 =       os.path.join(
					    _lowerCAmelCase  ,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

					if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file  ,					_lowerCAmelCase						)

					return (out_vocab_file,)










"""simple docstring"""






from ..utils import DummyObject, requires_backends





class       snake_case_       (    metaclass=_lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							List[str]   			=					["""note_seq"""]


	def __init__(      self  ,					*__a  ,					**__a						):


					"""simple docstring"""

					requires_backends(self  ,					['note_seq']						)


	@classmethod
	def       _UpperCAmelCase						(      cls  ,					*__a  ,					**__a						):


					"""simple docstring"""

					requires_backends(cls  ,					['note_seq']						)






	@classmethod
	def       _UpperCAmelCase						(      cls  ,					*__a  ,					**__a						):


					"""simple docstring"""

					requires_backends(cls  ,					['note_seq']						)


