




"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowerCamelCase      =		logging.get_logger(__name__)

lowerCamelCase      =		{
    """ut/deta""": """https://huggingface.co/ut/deta/resolve/main/config.json""",
}
class    lowercase__     (					UpperCamelCase__   ):







       '''simple docstring'''


       UpperCamelCase		=  '''deta'''
       UpperCamelCase		=  {
           '''hidden_size''': '''d_model''',
           '''num_attention_heads''': '''encoder_attention_heads''',
       }



       def __init__(							self    :						Dict	,       _UpperCAmelCase    :						Tuple=None	,       _UpperCAmelCase    :						Union[str, Any]=900	,       _UpperCAmelCase    :						str=2048	,       _UpperCAmelCase    :						int=6	,       _UpperCAmelCase    :						Tuple=2048	,       _UpperCAmelCase    :						List[Any]=8	,       _UpperCAmelCase    :						List[Any]=6	,       _UpperCAmelCase    :						Optional[Any]=1024	,       _UpperCAmelCase    :						List[Any]=8	,       _UpperCAmelCase    :						List[str]=0.0	,       _UpperCAmelCase    :						int=True	,       _UpperCAmelCase    :						Any="relu"	,       _UpperCAmelCase    :						str=256	,       _UpperCAmelCase    :						int=0.1	,       _UpperCAmelCase    :						Union[str, Any]=0.0	,       _UpperCAmelCase    :						Union[str, Any]=0.0	,       _UpperCAmelCase    :						List[str]=0.02	,       _UpperCAmelCase    :						Dict=1.0	,       _UpperCAmelCase    :						str=True	,       _UpperCAmelCase    :						Tuple=False	,       _UpperCAmelCase    :						int="sine"	,       _UpperCAmelCase    :						str=5	,       _UpperCAmelCase    :						List[str]=4	,       _UpperCAmelCase    :						Optional[int]=4	,       _UpperCAmelCase    :						List[Any]=True	,       _UpperCAmelCase    :						Dict=300	,       _UpperCAmelCase    :						Optional[int]=True	,       _UpperCAmelCase    :						List[Any]=True	,       _UpperCAmelCase    :						List[Any]=1	,       _UpperCAmelCase    :						List[str]=5	,       _UpperCAmelCase    :						Any=2	,       _UpperCAmelCase    :						Tuple=1	,       _UpperCAmelCase    :						List[Any]=1	,       _UpperCAmelCase    :						Any=5	,       _UpperCAmelCase    :						List[Any]=2	,       _UpperCAmelCase    :						Union[str, Any]=0.1	,       _UpperCAmelCase    :						Optional[Any]=0.25	,       **_UpperCAmelCase    :						int	,       )				->		Any:


             '''simple docstring'''




             if backbone_config is None:
                   logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."					)
                   UpperCAmelCase_    				=							CONFIG_MAPPING["resnet"](out_features=["stage2", "stage3", "stage4"]					)
             else:
                   if isinstance(__A	,       __A					):
                         UpperCAmelCase_    				=							backbone_config.pop("model_type"					)
                         UpperCAmelCase_    				=							CONFIG_MAPPING[backbone_model_type]
                         UpperCAmelCase_    				=							config_class.from_dict(__A					)

             UpperCAmelCase_    				=							backbone_config
             UpperCAmelCase_    				=							num_queries
             UpperCAmelCase_    				=							max_position_embeddings
             UpperCAmelCase_    				=							d_model
             UpperCAmelCase_    				=							encoder_ffn_dim
             UpperCAmelCase_    				=							encoder_layers
             UpperCAmelCase_    				=							encoder_attention_heads
             UpperCAmelCase_    				=							decoder_ffn_dim
             UpperCAmelCase_    				=							decoder_layers
             UpperCAmelCase_    				=							decoder_attention_heads
             UpperCAmelCase_    				=							dropout
             UpperCAmelCase_    				=							attention_dropout
             UpperCAmelCase_    				=							activation_dropout
             UpperCAmelCase_    				=							activation_function
             UpperCAmelCase_    				=							init_std
             UpperCAmelCase_    				=							init_xavier_std
             UpperCAmelCase_    				=							encoder_layerdrop
             UpperCAmelCase_    				=							auxiliary_loss
             UpperCAmelCase_    				=							position_embedding_type
             # deformable attributes
             UpperCAmelCase_    				=							num_feature_levels
             UpperCAmelCase_    				=							encoder_n_points
             UpperCAmelCase_    				=							decoder_n_points
             UpperCAmelCase_    				=							two_stage
             UpperCAmelCase_    				=							two_stage_num_proposals
             UpperCAmelCase_    				=							with_box_refine
             UpperCAmelCase_    				=							assign_first_stage
             if two_stage is True and with_box_refine is False:
                   raise ValueError("If two_stage is True, with_box_refine must be True."					)
             # Hungarian matcher
             UpperCAmelCase_    				=							class_cost
             UpperCAmelCase_    				=							bbox_cost
             UpperCAmelCase_    				=							giou_cost
             # Loss coefficients
             UpperCAmelCase_    				=							mask_loss_coefficient
             UpperCAmelCase_    				=							dice_loss_coefficient
             UpperCAmelCase_    				=							bbox_loss_coefficient
             UpperCAmelCase_    				=							giou_loss_coefficient
             UpperCAmelCase_    				=							eos_coefficient
             UpperCAmelCase_    				=							focal_alpha
             super().__init__(is_encoder_decoder=__A	,       **__A					)



       @property
       def   lowercase__       (							self    :						List[str]					)				->		int:


             '''simple docstring'''




             return self.encoder_attention_heads



       @property
       def   lowercase__       (							self    :						List[Any]					)				->		int:


             '''simple docstring'''




             return self.d_model







       def   lowercase__       (							self    :						Dict					)				->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							copy.deepcopy(self.__dict__					)
             UpperCAmelCase_    				=							self.backbone_config.to_dict()
             UpperCAmelCase_    				=							self.__class__.model_type
             return output









"""simple docstring"""





from __future__ import annotations
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      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__			(   lowerCAmelCase__   ):
      if len(lowerCAmelCase__   ) <= 1:
            return input_list
      UpperCAmelCase_    				=							list(lowerCAmelCase__   )

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

      return input_list


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




