


'''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   :    Union[str, Any]											= logging.get_logger(__name__)

__A   :    str											= {"vocab_file": "vocab.txt"}

__A   :    Optional[int]											= {
    "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   :    List[str]											= {
    "facebook/esm2_t6_8M_UR50D": 1024,
    "facebook/esm2_t12_35M_UR50D": 1024,
}







def 							UpperCamelCase_     (       A__   :  Tuple   ):
  '''simple docstring'''





  with open(A__				,       """r"""   ) as f:
    lowerCAmelCase_     : Union[str, Any]     =  f.read().splitlines()
    return [l.strip() for l in lines]






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   VOCAB_FILES_NAMES
    lowercase  					=   PRETRAINED_VOCAB_FILES_MAP
    lowercase  					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase  					=   ['input_ids', 'attention_mask']

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

    def __lowercase  (  self       :    List[Any]       ,		lowerCamelCase       :    int						)  ->    str:
      return self._id_to_token.get(lowerCamelCase       ,		self.unk_token						)

    def __lowercase  (  self       :    Any       ,		lowerCamelCase       :    str						)  ->    int:
      return self._token_to_id.get(lowerCamelCase       ,		self._token_to_id.get(self.unk_token						)						)

    def __lowercase  (  self       :    str       ,		lowerCamelCase       :    List[Any]       ,		**lowerCamelCase       :    Dict						)  ->    Optional[Any]:
      return text.split()

    def __lowercase  (  self       :    Optional[Any]       ,		lowerCamelCase       :    List[str]=False						)  ->    Any:
      return len(self._id_to_token						)

    def __lowercase  (  self       :    Any						)  ->    Optional[Any]:
      return {token: i for i, token in enumerate(self.all_tokens						)}

    def __lowercase  (  self       :    str       ,		lowerCamelCase       :    str						)  ->    int:
      return self._token_to_id.get(lowerCamelCase       ,		self._token_to_id.get(self.unk_token						)						)

    def __lowercase  (  self       :    Dict       ,		lowerCamelCase       :    int						)  ->    str:
      return self._id_to_token.get(lowerCamelCase       ,		self.unk_token						)

    def __lowercase  (  self       :    Any       ,		lowerCamelCase       :    List[int]       ,		lowerCamelCase       :    Optional[List[int]] = None						)  ->    List[int]:
      lowerCAmelCase_     : int     =  [self.cls_token_id]
      lowerCAmelCase_     : Tuple     =  [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 __lowercase  (  self       :    List[str]       ,		lowerCamelCase       :    List       ,		lowerCamelCase       :    Optional[List] = None       ,		lowerCamelCase       :    bool = 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]
      lowerCAmelCase_     : Tuple     =  [1] + ([0] * len(lowerCamelCase						)) + [1]
      if token_ids_a is not None:
        mask += [0] * len(lowerCamelCase						) + [1]
      return mask

    def __lowercase  (  self       :    str       ,		lowerCamelCase       :    Any       ,		lowerCamelCase       :    Dict						)  ->    Optional[int]:
      lowerCAmelCase_     : str     =  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 __lowercase  (  self       :    Optional[int]						)  ->    int:
      return self.get_vocab_size(with_added_tokens=lowerCamelCase						)





    def __lowercase  (  self       :    str       ,		lowerCamelCase       :    Union[List[str], List[AddedToken]]       ,		lowerCamelCase       :    bool = False						)  ->    int:
      return super()._add_tokens(lowerCamelCase       ,		special_tokens=lowerCamelCase						)







'''simple docstring'''






from __future__ import annotations







def 							UpperCamelCase_     (       A__   :  list				,       A__   :  int				,       A__   :  int				,       A__   :  int   ):
  '''simple docstring'''





  lowerCAmelCase_     : int     =  []
  lowerCAmelCase_,				lowerCAmelCase_     : Any     =  input_list[low:mid], input_list[mid : high + 1]
  while left and right:
    result.append((left if left[0] <= right[0] else right).pop(0   )   )
  lowerCAmelCase_     : Dict     =  result + left + right
  return input_list







def 							UpperCamelCase_     (       A__   :  list   ):
  '''simple docstring'''





  if len(A__   ) <= 1:
    return input_list
  lowerCAmelCase_     : str     =  list(A__   )

  # iteration for two-way merging
  lowerCAmelCase_     : Dict     =  2
  while p <= len(A__   ):
    # getting low, high and middle value for merge-sort of single list
    for i in range(0				,       len(A__   )				,       A__   ):
      lowerCAmelCase_     : Tuple     =  i
      lowerCAmelCase_     : List[str]     =  i + p - 1
      lowerCAmelCase_     : Optional[Any]     =  (low + high + 1) // 2
      lowerCAmelCase_     : List[str]     =  merge(A__				,       A__				,       A__				,       A__   )
    # final merge of last two parts
    if p * 2 >= len(A__   ):
      lowerCAmelCase_     : Union[str, Any]     =  i
      lowerCAmelCase_     : Dict     =  merge(A__				,       0				,       A__				,       len(A__   ) - 1   )
      break
    p *= 2

  return input_list


if __name__ == "__main__":
  __A   :    int											= input("Enter numbers separated by a comma:\n").strip()
  if user_input == "":
    __A   :    str											= []
  else:
    __A   :    Optional[Any]											= [int(item.strip()) for item in user_input.split(",")]
  print(iter_merge_sort(unsorted))



