




'''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_			      =		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": 1024,
    "moussaKam/barthez": 1024,
    "moussaKam/barthez-orangesum-title": 1024,
}

A_			      =		"▁"






class        lowercase_      (						lowerCAmelCase_							):
     A_											=			VOCAB_FILES_NAMES
     A_											=			PRETRAINED_VOCAB_FILES_MAP
     A_											=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_											=			["input_ids", "attention_mask"]
     A_											=			BarthezTokenizer





     def __init__(     self     :					str     ,							__lowerCamelCase     :					int=None     ,							__lowerCamelCase     :					Optional[int]=None     ,							__lowerCamelCase     :					Dict="<s>"     ,							__lowerCamelCase     :					Tuple="</s>"     ,							__lowerCamelCase     :					Optional[int]="</s>"     ,							__lowerCamelCase     :					List[Any]="<s>"     ,							__lowerCamelCase     :					Union[str, Any]="<unk>"     ,							__lowerCamelCase     :					Optional[int]="<pad>"     ,							__lowerCamelCase     :					str="<mask>"     ,							**__lowerCamelCase     :					List[str]     ,							):
           # Mask token behave like a normal word, i.e. include the space before it
           snake_case__       :   Any	      =    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     ,							)

           snake_case__       :   List[str]	      =    vocab_file
           snake_case__       :   List[Any]	      =    False if not self.vocab_file else True





     def 			_lowerCAmelCase      (     self     :					Optional[Any]     ,							__lowerCamelCase     :					List[int]     ,							__lowerCamelCase     :					Optional[List[int]] = None			):

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





     def 			_lowerCAmelCase      (     self     :					Dict     ,							__lowerCamelCase     :					List[int]     ,							__lowerCamelCase     :					Optional[List[int]] = None			):
           snake_case__       :   int	      =    [self.sep_token_id]
           snake_case__       :   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     :					Dict     ,							__lowerCamelCase     :					str     ,							__lowerCamelCase     :					Optional[str] = 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(__lowerCamelCase			):
                 logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
                 return
           snake_case__       :   Tuple	      =    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'''






# flake8: noqa
# Lint as: python3
A_			      =		[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental
