'''simple docstring'''

import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


__a:			Dict	       =       logging.get_logger(__name__)

__a:			int	       =       {"""vocab_file""": """vocab.txt"""}

__a:			Dict	       =       {
    """vocab_file""": {
        """facebook/esm2_t6_8M_UR50D""": """https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt""",
        """facebook/esm2_t12_35M_UR50D""": """https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt""",
    },
}

__a:			Dict	       =       {
    """facebook/esm2_t6_8M_UR50D""": 10_24,
    """facebook/esm2_t12_35M_UR50D""": 10_24,
}
def       __UpperCamelCase	(       UpperCAmelCase					):
 with open(UpperCAmelCase		,					'''r'''					) as f:
  lowercase__    :   Dict						= f.read().splitlines()
  return [l.strip() for l in lines]





class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE 		=   ["input_ids", "attention_mask"]

       def __init__(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase="<unk>"     ,       __lowerCAmelCase="<cls>"     ,       __lowerCAmelCase="<pad>"     ,       __lowerCAmelCase="<mask>"     ,       __lowerCAmelCase="<eos>"     ,       **__lowerCAmelCase     ,       )  ->  Any:
        super().__init__(**__lowerCAmelCase			)
        lowercase__    :   Optional[int]						= load_vocab_file(__lowerCAmelCase			)
        lowercase__    :   List[Any]						= dict(enumerate(self.all_tokens			)			)
        lowercase__    :   Any						= {tok: ind for ind, tok in enumerate(self.all_tokens			)}
        lowercase__    :   int						= unk_token
        lowercase__    :   List[Any]						= cls_token
        lowercase__    :   Union[str, Any]						= pad_token
        lowercase__    :   Union[str, Any]						= mask_token
        lowercase__    :   Union[str, Any]						= eos_token
        lowercase__    :   List[Any]						= self.all_tokens
        self._create_trie(self.unique_no_split_tokens			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        return self._id_to_token.get(__lowerCAmelCase     ,       self.unk_token			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  int:
        return self._token_to_id.get(__lowerCAmelCase     ,       self._token_to_id.get(self.unk_token			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  List[str]:
        return text.split()

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase=False			)  ->  Tuple:
        return len(self._id_to_token			)

       def _lowerCAmelCase(						self			)  ->  int:
        return {token: i for i, token in enumerate(self.all_tokens			)}

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  int:
        return self._token_to_id.get(__lowerCAmelCase     ,       self._token_to_id.get(self.unk_token			)			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  str:
        return self._id_to_token.get(__lowerCAmelCase     ,       self.unk_token			)

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None			)  ->  List[int]:
        lowercase__    :   Optional[Any]						= [self.cls_token_id]
        lowercase__    :   List[Any]						= [self.eos_token_id]  # No sep token in ESM vocabulary
        if token_ids_a is None:
         if self.eos_token_id is None:
          return cls + token_ids_a
         else:
          return cls + token_ids_a + sep
        elif self.eos_token_id is None:
         raise ValueError('''Cannot tokenize multiple sequences when EOS token is not set!'''			)
        return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None     ,       __lowerCAmelCase = False			)  ->  List[int]:
        if already_has_special_tokens:
         if token_ids_a is not None:
          raise ValueError(
              '''You should not supply a second sequence if the provided sequence of '''
              '''ids is already formatted with special tokens for the model.'''			)

         return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
        lowercase__    :   Union[str, Any]						= [1] + ([0] * len(__lowerCAmelCase			)) + [1]
        if token_ids_a is not None:
         mask += [0] * len(__lowerCAmelCase			) + [1]
        return mask

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase			)  ->  List[Any]:
        lowercase__    :   Tuple						= os.path.join(__lowerCAmelCase     ,       (filename_prefix + '''-''' if filename_prefix else '''''') + '''vocab.txt'''			)
        with open(__lowerCAmelCase     ,       '''w'''			) as f:
         f.write('''\n'''.join(self.all_tokens			)			)
        return (vocab_file,)

       @property
       def _lowerCAmelCase(						self			)  ->  int:
        return self.get_vocab_size(with_added_tokens=__lowerCAmelCase			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = False			)  ->  int:
        return super()._add_tokens(__lowerCAmelCase     ,       special_tokens=__lowerCAmelCase			)


'''simple docstring'''

def       __UpperCamelCase	(       UpperCAmelCase					):

 def merge(UpperCAmelCase		,					UpperCAmelCase					) -> list:

  def _merge():
   while left and right:
    yield (left if left[0] <= right[0] else right).pop(0					)
   yield from left
   yield from right

  return list(_merge()					)

 if len(UpperCAmelCase					) <= 1:
  return collection
 lowercase__    :   int						= len(UpperCAmelCase					) // 2
 return merge(merge_sort(collection[:mid]					)		,					merge_sort(collection[mid:]					)					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  __a:			str	       =       input("""Enter numbers separated by a comma:\n""").strip()
  __a:			Optional[int]	       =       [int(item) for item in user_input.split(""",""")]
  print(*merge_sort(unsorted), sep=""",""")

