






"""simple docstring"""


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_xglm import XGLMTokenizer
else:
		__SCREAMING_SNAKE_CASE      =      None


__SCREAMING_SNAKE_CASE      =      logging.get_logger(__name__)

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

__SCREAMING_SNAKE_CASE      =      {
    'vocab_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json',
    },
}

__SCREAMING_SNAKE_CASE      =      {
    'facebook/xglm-564M': 20_48,
}




class 	__UpperCamelCase    (    UpperCamelCase	):

					'''simple docstring'''





					lowercase_						:							Optional[Any]			=     VOCAB_FILES_NAMES
					lowercase_						:							str			=     PRETRAINED_VOCAB_FILES_MAP
					lowercase_						:							Optional[Any]			=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase_						:							Dict			=     ["""input_ids""", """attention_mask"""]
					lowercase_						:							int			=     XGLMTokenizer
					def __init__(       self       :  int    ,   UpperCAmelCase       :  int=None    ,   UpperCAmelCase       :  Union[str, Any]=None    ,   UpperCAmelCase       :  Dict="<s>"    ,   UpperCAmelCase       :  List[Any]="</s>"    ,   UpperCAmelCase       :  List[str]="</s>"    ,   UpperCAmelCase       :  List[Any]="<s>"    ,   UpperCAmelCase       :  List[Any]="<unk>"    ,   UpperCAmelCase       :  Any="<pad>"    ,   **UpperCAmelCase       :  List[Any]    ,   )  ->					Union[str, Any]:
											# Compatibility with the original tokenizer
											lowerCAmelCase      :List[str]				  = 7
											lowerCAmelCase      :Dict				  = [f"""<madeupword{i}>""" for i in range(self.num_madeup_words      )]

											lowerCAmelCase      :int				  = kwargs.get('additional_special_tokens'    ,   []      )
											kwargs["additional_special_tokens"] += [
											    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
											]

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

											lowerCAmelCase      :Any				  = vocab_file
											lowerCAmelCase      :Dict				  = False if not self.vocab_file else True
					def 					UpperCAmelCase__   (       self       :  List[Any]    ,   UpperCAmelCase       :  List[int]    ,   UpperCAmelCase       :  Optional[List[int]] = None      )  ->					List[int]:

											if token_ids_a is None:
																	return [self.sep_token_id] + token_ids_a
											lowerCAmelCase      :int				  = [self.sep_token_id]
											return sep + token_ids_a + sep + sep + token_ids_a
					def 					UpperCAmelCase__   (       self       :  Any    ,   UpperCAmelCase       :  List[int]    ,   UpperCAmelCase       :  Optional[List[int]] = None      )  ->					List[int]:
											lowerCAmelCase      :Dict				  = [self.sep_token_id]

											if token_ids_a is None:
																	return len(sep + token_ids_a      ) * [0]
											return len(sep + token_ids_a + sep + sep + token_ids_a      ) * [0]
					def 					UpperCAmelCase__   (       self       :  int    ,   UpperCAmelCase       :  str    ,   UpperCAmelCase       :  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
											lowerCAmelCase      :Dict				  = 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,)







"""simple docstring"""


import safs




class 	__UpperCamelCase    (    safs.SaFileSystem	):
					pass