

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       :				Tuple         =					None


lowerCAmelCase       :				List[str]         =					logging.get_logger(__name__)

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

lowerCAmelCase       :				List[str]         =					{
    '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       :				List[Any]         =					{
    'facebook/xglm-564M': 20_48,
}
class 	_A						(					__magic_name__):
  SCREAMING_SNAKE_CASE      : List[Any]    =					VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE      : Dict    =					PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE      : Union[str, Any]    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE      : Union[str, Any]    =					['''input_ids''', '''attention_mask''']
  SCREAMING_SNAKE_CASE      : Optional[int]    =					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	,   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					int          =       7
        SCREAMING_SNAKE_CASE_			:					Optional[int]          =       [f"<madeupword{i}>" for i in range(self.num_madeup_words   )]

        SCREAMING_SNAKE_CASE_			:					Optional[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__(
            _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	,   )

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

  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE = None   ):





        """simple docstring"""







        if token_ids_a is None:
              return [self.sep_token_id] + token_ids_a
        SCREAMING_SNAKE_CASE_			:					Dict          =       [self.sep_token_id]
        return sep + token_ids_a + sep + sep + token_ids_a

  def 	UpperCAmelCase      (			self	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE = None   ):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_			:					int          =       [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	,   _SCREAMING_SNAKE_CASE	,   _SCREAMING_SNAKE_CASE = None   ):





        """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(_SCREAMING_SNAKE_CASE   ):
              logger.error(f"Vocabulary path ({save_directory}) should be a directory."   )
              return
        SCREAMING_SNAKE_CASE_			:					Optional[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,)









from math import factorial

def 				A_					(							a   ,				a					):

      """simple docstring"""



      return factorial(a					) / (factorial(a					) * factorial(n - r					))

def 				A_					(							):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_			:					Union[str, Any]          =       0

      for i in range(1   ,				1_0_1					):
            for j in range(1   ,				i + 1					):
                  if combinations(a   ,				a					) > 1e6:
                        total += 1
      return total


if __name__ == "__main__":
    print(solution())






