






from __future__ import annotations





def 						A_					(						lowercase_	,  lowercase_			)				->List[str]:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		0
 SCREAMING_SNAKE_CASE				    =		len(lowercase_			) - 1
 while left <= right:
  SCREAMING_SNAKE_CASE				    =		(left + right) // 2
  if left == right:
   if sorted_list[middle] < item:
    SCREAMING_SNAKE_CASE				    =		middle + 1
   break
  elif sorted_list[middle] < item:
   SCREAMING_SNAKE_CASE				    =		middle + 1
  else:
   SCREAMING_SNAKE_CASE				    =		middle - 1
 sorted_list.insert(lowercase_	,  lowercase_			)
 return sorted_list





def 						A_					(						lowercase_	,  lowercase_			)				->Union[str, Any]:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		[]
 while left and right:
  if left[0][0] < right[0][0]:
   result.append(left.pop(0			)			)
  else:
   result.append(right.pop(0			)			)
 return result + left + right





def 						A_					(						lowercase_			)				->Union[str, Any]:







 """simple docstring"""

 SCREAMING_SNAKE_CASE				    =		len(lowercase_			)
 if length <= 1:
  return list_ad
 SCREAMING_SNAKE_CASE				    =		length // 2
 return merge(sortlist_ad(list_ad[:middle]			)	,  sortlist_ad(list_ad[middle:]			)			)





def 						A_					(						lowercase_			)				->list[int]:







 """simple docstring"""

 if len(lowercase_			) <= 1:
  return collection
 SCREAMING_SNAKE_CASE				    =		[]
 SCREAMING_SNAKE_CASE				    =		False
 for i in range(0	,  len(lowercase_			)	,  2			):
  if i == len(lowercase_			) - 1:
   SCREAMING_SNAKE_CASE				    =		True
  else:
   if collection[i] < collection[i + 1]:
    two_paired_list.append([collection[i], collection[i + 1]]			)
   else:
    two_paired_list.append([collection[i + 1], collection[i]]			)
 SCREAMING_SNAKE_CASE				    =		sortlist_ad(lowercase_			)
 SCREAMING_SNAKE_CASE				    =		[i[0] for i in sorted_list_ad]
 result.append(sorted_list_ad[-1][1]			)
 if has_last_odd_item:
  SCREAMING_SNAKE_CASE				    =		collection[-1]
  SCREAMING_SNAKE_CASE				    =		binary_search_insertion(lowercase_	,  lowercase_			)
 SCREAMING_SNAKE_CASE				    =		False
 for i in range(len(lowercase_			) - 1			):
  if result[i] == collection[-1] and has_last_odd_item:
   SCREAMING_SNAKE_CASE				    =		True
  SCREAMING_SNAKE_CASE				    =		sorted_list_ad[i][1]
  # If last_odd_item is inserted before the item's index,
  # you should forward index one more.
  if is_last_odd_item_inserted_before_this_index:
   SCREAMING_SNAKE_CASE				    =		result[: i + 2] + binary_search_insertion(result[i + 2 :]	,  lowercase_			)
  else:
   SCREAMING_SNAKE_CASE				    =		result[: i + 1] + binary_search_insertion(result[i + 1 :]	,  lowercase_			)

 return result


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









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


A__       =			logging.get_logger(__name__)

A__       =			{
    """MCG-NJU/videomae-base""": """https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json""",
}





class    __lowerCAmelCase					(	lowerCamelCase__			):
				__lowerCamelCase					=							'''videomae'''




				def __init__(				self		,							_snake_case=224		,							_snake_case=16		,							_snake_case=3		,							_snake_case=16		,							_snake_case=2		,							_snake_case=768		,							_snake_case=12		,							_snake_case=12		,							_snake_case=3072		,							_snake_case="gelu"		,							_snake_case=0.0		,							_snake_case=0.0		,							_snake_case=0.02		,							_snake_case=1e-12		,							_snake_case=True		,							_snake_case=True		,							_snake_case=6		,							_snake_case=384		,							_snake_case=4		,							_snake_case=1536		,							_snake_case=True		,							**_snake_case		,							):



									"""simple docstring"""





									super().__init__(**_snake_case						)

									_lowerCAmelCase         =       image_size
									_lowerCAmelCase         =       patch_size
									_lowerCAmelCase         =       num_channels
									_lowerCAmelCase         =       num_frames
									_lowerCAmelCase         =       tubelet_size

									_lowerCAmelCase         =       hidden_size
									_lowerCAmelCase         =       num_hidden_layers
									_lowerCAmelCase         =       num_attention_heads
									_lowerCAmelCase         =       intermediate_size
									_lowerCAmelCase         =       hidden_act
									_lowerCAmelCase         =       hidden_dropout_prob
									_lowerCAmelCase         =       attention_probs_dropout_prob
									_lowerCAmelCase         =       initializer_range
									_lowerCAmelCase         =       layer_norm_eps
									_lowerCAmelCase         =       qkv_bias
									_lowerCAmelCase         =       use_mean_pooling

									_lowerCAmelCase         =       decoder_num_attention_heads
									_lowerCAmelCase         =       decoder_hidden_size
									_lowerCAmelCase         =       decoder_num_hidden_layers
									_lowerCAmelCase         =       decoder_intermediate_size
									_lowerCAmelCase         =       norm_pix_loss



