



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:
				__lowerCamelCase								=   None


__lowerCamelCase								=   logging.get_logger(__name__)

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

__lowerCamelCase								=   {
    """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""",
    },
}

__lowerCamelCase								=   {
    """facebook/xglm-564M""": 2_0_4_8,
}



class 						_snake_case (     lowerCamelCase			):





	"""simple docstring"""



	lowerCamelCase_       =     VOCAB_FILES_NAMES
	lowerCamelCase_       =     PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase_       =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase_       =     ['''input_ids''', '''attention_mask''']
	lowerCamelCase_       =     XGLMTokenizer
	def __init__(  self		,      a=None		,      a=None		,      a="<s>"		,      a="</s>"		,      a="</s>"		,      a="<s>"		,      a="<unk>"		,      a="<pad>"		,      **a		,      )		->							List[Any]:




			"""simple docstring"""







			_A          =      7
			_A          =      [f'''<madeupword{i}>''' for i in range(self.num_madeup_words   )]

			_A          =      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__(
			    a		,      tokenizer_file=a		,      bos_token=a		,      eos_token=a		,      sep_token=a		,      cls_token=a		,      unk_token=a		,      pad_token=a		,      **a		,      )

			_A          =      vocab_file
			_A          =      False if not self.vocab_file else True
	def lowercase_						(  self		,      a		,      a = None   )		->							List[int]:




			"""simple docstring"""







			if token_ids_a is None:
					return [self.sep_token_id] + token_ids_a
			_A          =      [self.sep_token_id]
			return sep + token_ids_a + sep + sep + token_ids_a
	def lowercase_						(  self		,      a		,      a = None   )		->							List[int]:




			"""simple docstring"""







			_A          =      [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 lowercase_						(  self		,      a		,      a = None   )		->							Tuple[str]:




			"""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(a   ):
					logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''   )
					return
			_A          =      os.path.join(
			    a		,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

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

			return (out_vocab_file,)




import warnings

from .generation import FlaxGenerationMixin



class 						_snake_case (     lowerCamelCase			):





 """simple docstring"""



 warnings.warn(
     '''Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will '''
     '''be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.'''   ,lowerCamelCase   ,)