





from __future__ import annotations
def      A__       (    SCREAMING_SNAKE_CASE_   :      list				,	SCREAMING_SNAKE_CASE_   :      int				,	SCREAMING_SNAKE_CASE_   :      int				,	SCREAMING_SNAKE_CASE_   :      int						)  ->  list:






   """simple docstring"""







   _UpperCAmelCase           =   []
   _UpperCAmelCase       ,      _UpperCAmelCase           =   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						)						)
   _UpperCAmelCase           =   result + left + right
   return input_list
def      A__       (    SCREAMING_SNAKE_CASE_   :      list						)  ->  list:






   """simple docstring"""







   if len(SCREAMING_SNAKE_CASE_						) <= 1:
      return input_list
   _UpperCAmelCase           =   list(SCREAMING_SNAKE_CASE_						)

   # iteration for two-way merging
   _UpperCAmelCase           =   2
   while p <= len(SCREAMING_SNAKE_CASE_						):
      # getting low, high and middle value for merge-sort of single list
      for i in range(0				,	len(SCREAMING_SNAKE_CASE_						)				,	SCREAMING_SNAKE_CASE_						):
         _UpperCAmelCase           =   i
         _UpperCAmelCase           =   i + p - 1
         _UpperCAmelCase           =   (low + high + 1) // 2
         _UpperCAmelCase           =   merge(SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_				,	SCREAMING_SNAKE_CASE_						)
      # final merge of last two parts
      if p * 2 >= len(SCREAMING_SNAKE_CASE_						):
         _UpperCAmelCase           =   i
         _UpperCAmelCase           =   merge(SCREAMING_SNAKE_CASE_				,	0				,	SCREAMING_SNAKE_CASE_				,	len(SCREAMING_SNAKE_CASE_						) - 1						)
         break
      p *= 2

   return input_list


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






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "microsoft/biogpt": "https://huggingface.co/microsoft/biogpt/resolve/main/config.json",
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class 			__UpperCamelCase    (							A__    ):
     __A	:  Any							  =   """biogpt"""





     def __init__(     self				,							_UpperCamelCase=42384				,							_UpperCamelCase=1024				,							_UpperCamelCase=24				,							_UpperCamelCase=16				,							_UpperCamelCase=4096				,							_UpperCamelCase="gelu"				,							_UpperCamelCase=0.1				,							_UpperCamelCase=0.1				,							_UpperCamelCase=1024				,							_UpperCamelCase=0.02				,							_UpperCamelCase=1e-12				,							_UpperCamelCase=True				,							_UpperCamelCase=True				,							_UpperCamelCase=0.0				,							_UpperCamelCase=0.0				,							_UpperCamelCase=1				,							_UpperCamelCase=0				,							_UpperCamelCase=2				,							**_UpperCamelCase				,							):
        _UpperCAmelCase           =   vocab_size
        _UpperCAmelCase           =   max_position_embeddings
        _UpperCAmelCase           =   hidden_size
        _UpperCAmelCase           =   num_hidden_layers
        _UpperCAmelCase           =   num_attention_heads
        _UpperCAmelCase           =   intermediate_size
        _UpperCAmelCase           =   hidden_act
        _UpperCAmelCase           =   hidden_dropout_prob
        _UpperCAmelCase           =   attention_probs_dropout_prob
        _UpperCAmelCase           =   initializer_range
        _UpperCAmelCase           =   layer_norm_eps
        _UpperCAmelCase           =   scale_embedding
        _UpperCAmelCase           =   use_cache
        _UpperCAmelCase           =   layerdrop
        _UpperCAmelCase           =   activation_dropout
        super().__init__(pad_token_id=_UpperCamelCase				,							bos_token_id=_UpperCamelCase				,							eos_token_id=_UpperCamelCase				,							**_UpperCamelCase					)