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:
				UpperCamelCase     					=     None


UpperCamelCase     					=     logging.get_logger(__name__)

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

UpperCamelCase     					=     {
    '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',
    },
}

UpperCamelCase     					=     {
    'facebook/xglm-564M': 20_48,
}
class   UpperCAmelCase__				(    __lowerCamelCase			):


	"""simple docstring"""
	lowerCAmelCase__    :					str						      =							VOCAB_FILES_NAMES
	lowerCAmelCase__    :					str						      =							PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase__    :					Tuple						      =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCAmelCase__    :					Any						      =							["""input_ids""", """attention_mask"""]
	lowerCAmelCase__    :					str						      =							XGLMTokenizer







	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       ,     )    ->	Dict:
							# Compatibility with the original tokenizer
							a_							:			Any     		=					7
							a_							:			Optional[int]     		=					[f'''<madeupword{i}>''' for i in range(self.num_madeup_words )]

							a_							:			Dict     		=					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__(
							    _SCREAMING_SNAKE_CASE       ,     tokenizer_file=_SCREAMING_SNAKE_CASE       ,     bos_token=_SCREAMING_SNAKE_CASE       ,     eos_token=_SCREAMING_SNAKE_CASE       ,     sep_token=_SCREAMING_SNAKE_CASE       ,     cls_token=_SCREAMING_SNAKE_CASE       ,     unk_token=_SCREAMING_SNAKE_CASE       ,     pad_token=_SCREAMING_SNAKE_CASE       ,     **_SCREAMING_SNAKE_CASE       ,     )

							a_							:			int     		=					vocab_file
							a_							:			Any     		=					False if not self.vocab_file else True







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE = None )    ->	List[int]:

							if token_ids_a is None:
													return [self.sep_token_id] + token_ids_a
							a_							:			Union[str, Any]     		=					[self.sep_token_id]
							return sep + token_ids_a + sep + sep + token_ids_a







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE = None )    ->	List[int]:
							a_							:			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       A    (			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE = 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(_SCREAMING_SNAKE_CASE ):
													logger.error(f'''Vocabulary path ({save_directory}) should be a directory.''' )
													return
							a_							:			int     		=					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"""






def  lowerCAmelCase_      (_SCREAMING_SNAKE_CASE	:str  )				-> int:
						a_							:			Optional[int]     		=					0
						for letter in data:
												a_							:			Union[str, Any]     		=					(hash_ << 4) + ord(_SCREAMING_SNAKE_CASE  )
												a_							:			Optional[int]     		=					hash_ & 0xf000_0000
												if x != 0:
																		hash_ ^= x >> 24
												hash_ &= ~x
						return hash_


if __name__ == "__main__":
				import doctest

				doctest.testmod()




