
"""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:
							lowerCamelCase__        =		None

lowerCamelCase__        =		logging.get_logger(__name__)

lowerCamelCase__        =		{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase__        =		{
    """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"""
        ),
    },
}

lowerCamelCase__        =		{
    """moussaKam/mbarthez""": 1_024,
    """moussaKam/barthez""": 1_024,
    """moussaKam/barthez-orangesum-title""": 1_024,
}

lowerCamelCase__        =		"""▁"""




class 			A__	(     a__):
		A_						:	Dict           =     VOCAB_FILES_NAMES
		A_						:	List[str]           =     PRETRAINED_VOCAB_FILES_MAP
		A_						:	Tuple           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A_						:	Any           =     ['input_ids', 'attention_mask']
		A_						:	int           =     BarthezTokenizer

		def __init__(				self	,		_SCREAMING_SNAKE_CASE=None	,		_SCREAMING_SNAKE_CASE=None	,		_SCREAMING_SNAKE_CASE="<s>"	,		_SCREAMING_SNAKE_CASE="</s>"	,		_SCREAMING_SNAKE_CASE="</s>"	,		_SCREAMING_SNAKE_CASE="<s>"	,		_SCREAMING_SNAKE_CASE="<unk>"	,		_SCREAMING_SNAKE_CASE="<pad>"	,		_SCREAMING_SNAKE_CASE="<mask>"	,		**_SCREAMING_SNAKE_CASE	,		):
			# Mask token behave like a normal word, i.e. include the space before it
			__lowerCAmelCase      :						Union[str, Any]						      =				AddedToken(_SCREAMING_SNAKE_CASE	,		lstrip=_SCREAMING_SNAKE_CASE	,		rstrip=_SCREAMING_SNAKE_CASE			) if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			) else mask_token

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

			__lowerCAmelCase      :						Any						      =				vocab_file
			__lowerCAmelCase      :						Dict						      =				False if not self.vocab_file else True

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):

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

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = None			):
			__lowerCAmelCase      :						int						      =				[self.sep_token_id]
			__lowerCAmelCase      :						int						      =				[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 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE = 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(_SCREAMING_SNAKE_CASE			):
				logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
				return
			__lowerCAmelCase      :						Optional[Any]						      =				os.path.join(
			    _SCREAMING_SNAKE_CASE	,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

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

			return (out_vocab_file,)

"""simple docstring"""







from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase = None		):
	if version.parse(hfh.__version__		).release < version.parse('0.11.0'		).release:
		# old versions of hfh don't url-encode the file path
		__lowerCAmelCase      :						List[str]						      =				quote(_UpperCamelCase		)
	return hfh.hf_hub_url(_UpperCamelCase	,  _UpperCamelCase	,  repo_type='dataset'	,  revision=_UpperCamelCase		)