






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': 2048,
}






class 	lowercase_      (			lowercase     ):






						'''simple docstring'''




						__snake_case  						=						VOCAB_FILES_NAMES
						__snake_case  						=						PRETRAINED_VOCAB_FILES_MAP
						__snake_case  						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						__snake_case  						=						['''input_ids''', '''attention_mask''']
						__snake_case  						=						XGLMTokenizer







						def __init__(   self   :		List[str]				,      __UpperCAmelCase   :		Optional[Any]=None				,      __UpperCAmelCase   :		Optional[int]=None				,      __UpperCAmelCase   :		Optional[int]="<s>"				,      __UpperCAmelCase   :		Optional[Any]="</s>"				,      __UpperCAmelCase   :		Optional[int]="</s>"				,      __UpperCAmelCase   :		List[str]="<s>"				,      __UpperCAmelCase   :		List[Any]="<unk>"				,      __UpperCAmelCase   :		int="<pad>"				,      **__UpperCAmelCase   :		Dict				,      )					->Tuple:




							"""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    __lowerCAmelCase      (   self   :		Dict				,      __UpperCAmelCase   :		List[int]				,      __UpperCAmelCase   :		Optional[List[int]] = None						)					->Optional[Any]:




							"""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    __lowerCAmelCase      (   self   :		Tuple				,      __UpperCAmelCase   :		List[int]				,      __UpperCAmelCase   :		Optional[List[int]] = None						)					->str:




							"""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    __lowerCAmelCase      (   self   :		Union[str, Any]				,      __UpperCAmelCase   :		str				,      __UpperCAmelCase   :		Optional[str] = None						)					->Optional[Any]:




							"""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,)










def 		_a					(   a				:float				)							->    float:
 return -num if num < 0 else num
def 		_a					(   a				:list[int]				)							->    int:
 if len(a				) == 0:
  raise ValueError('''abs_min() arg is an empty sequence'''				)
 a							=   x[0]
 for i in x:
  if abs_val(a				) < abs_val(a				):
   a							=   i
 return j
def 		_a					(   a				:list[int]				)							->    int:
 if len(a				) == 0:
  raise ValueError('''abs_max() arg is an empty sequence'''				)
 a							=   x[0]
 for i in x:
  if abs(a				) > abs(a				):
   a							=   i
 return j
def 		_a					(   a				:list[int]				)							->    int:
 if len(a				) == 0:
  raise ValueError('''abs_max_sort() arg is an empty sequence'''				)
 return sorted(a			,							key=a				)[-1]
def 		_a					(   )							->    int:
 assert abs_val(0				) == 0
 assert abs_val(34				) == 34
 assert abs_val(-100_000_000_000				) == 100_000_000_000

 a							=   [-3, -1, 2, -11]
 assert abs_max(a				) == -11
 assert abs_max_sort(a				) == -11
 assert abs_min(a				) == -1


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     test_abs_val()
     print(abs_val(-34))  # --> 34


