



from __future__ import annotations


def 						UpperCAmelCase__   (   UpperCAmelCase__			:List[Any]			,       UpperCAmelCase__			:Tuple       ):






 '''simple docstring'''

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[int]			,       UpperCAmelCase__			:List[str]       ):






 '''simple docstring'''

 a							=		[]
 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 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[int]       ):






 '''simple docstring'''

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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:list[int]       ):






 '''simple docstring'''

 if len(UpperCAmelCase__       ) <= 1:
  return collection
 a							=		[]
 a							=		False
 for i in range(0			,       len(UpperCAmelCase__       )			,       2       ):
  if i == len(UpperCAmelCase__       ) - 1:
   a							=		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]]       )
 a							=		sortlist_ad(UpperCAmelCase__       )
 a							=		[i[0] for i in sorted_list_ad]
 result.append(sorted_list_ad[-1][1]       )
 if has_last_odd_item:
  a							=		collection[-1]
  a							=		binary_search_insertion(UpperCAmelCase__			,       UpperCAmelCase__       )
 a							=		False
 for i in range(len(UpperCAmelCase__       ) - 1       ):
  if result[i] == collection[-1] and has_last_odd_item:
   a							=		True
  a							=		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:
   a							=		result[: i + 2] + binary_search_insertion(result[i + 2 :]			,       UpperCAmelCase__       )
  else:
   a							=		result[: i + 1] + binary_search_insertion(result[i + 1 :]			,       UpperCAmelCase__       )

 return result


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


'''simple docstring'''





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


UpperCamelCase       :     Optional[Any]			=    logging.get_logger(__name__)

UpperCamelCase       :     Union[str, Any]			=    {
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}



class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    int				=			"tvlt"





    def __init__(					self     :						List[str]							,							UpperCAmelCase_     :						Any=2_2_4							,							UpperCAmelCase_     :						Optional[Any]=2_0_4_8							,							UpperCAmelCase_     :						Dict=1_2_8							,							UpperCAmelCase_     :						str=[1_6, 1_6]							,							UpperCAmelCase_     :						int=[1_6, 1_6]							,							UpperCAmelCase_     :						int=3							,							UpperCAmelCase_     :						Optional[int]=1							,							UpperCAmelCase_     :						List[str]=8							,							UpperCAmelCase_     :						List[Any]=7_6_8							,							UpperCAmelCase_     :						int=1_2							,							UpperCAmelCase_     :						List[Any]=1_2							,							UpperCAmelCase_     :						Optional[Any]=3_0_7_2							,							UpperCAmelCase_     :						List[str]="gelu"							,							UpperCAmelCase_     :						Tuple=0.0							,							UpperCAmelCase_     :						Optional[Any]=0.0							,							UpperCAmelCase_     :						Tuple=0.02							,							UpperCAmelCase_     :						Any=1e-6							,							UpperCAmelCase_     :						Dict=True							,							UpperCAmelCase_     :						Union[str, Any]=False							,							UpperCAmelCase_     :						Tuple=1_6							,							UpperCAmelCase_     :						str=5_1_2							,							UpperCAmelCase_     :						List[str]=8							,							UpperCAmelCase_     :						Union[str, Any]=2_0_4_8							,							UpperCAmelCase_     :						Tuple=0.75							,							UpperCAmelCase_     :						Optional[Any]=0.15							,							UpperCAmelCase_     :						Union[str, Any]="frame-level"							,							UpperCAmelCase_     :						List[str]=True							,							UpperCAmelCase_     :						Any=True							,							UpperCAmelCase_     :						Optional[int]="classification"							,							**UpperCAmelCase_     :						Any							,							):


         """simple docstring"""







         super().__init__(**UpperCAmelCase_)

         if audio_mask_type not in ("frame-level", "patch_level"):
              raise ValueError(
                  'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
                  f"""got {audio_mask_type}""")

         a					:							str							= image_size
         a					:							List[Any]							= spectrogram_length
         a					:							Union[str, Any]							= frequency_length
         a					:							str							= image_patch_size
         a					:							Dict							= audio_patch_size
         a					:							Dict							= num_image_channels
         a					:							Tuple							= num_audio_channels
         a					:							Optional[int]							= num_frames

         a					:							str							= hidden_size
         a					:							List[Any]							= num_hidden_layers
         a					:							Optional[Any]							= num_attention_heads
         a					:							Any							= intermediate_size
         a					:							List[Any]							= hidden_act
         a					:							int							= hidden_dropout_prob
         a					:							Optional[Any]							= attention_probs_dropout_prob
         a					:							Optional[Any]							= initializer_range
         a					:							List[str]							= layer_norm_eps
         a					:							List[Any]							= qkv_bias
         a					:							Dict							= use_mean_pooling

         a					:							List[Any]							= decoder_num_attention_heads
         a					:							Any							= decoder_hidden_size
         a					:							int							= decoder_num_hidden_layers
         a					:							Tuple							= decoder_intermediate_size
         a					:							Tuple							= pixel_mask_ratio
         a					:							List[Any]							= audio_mask_ratio
         a					:							Optional[Any]							= audio_mask_type

         a					:							Any							= task_matching
         a					:							Optional[Any]							= task_mae
         a					:							List[str]							= loss_type

