


'''simple docstring'''

def __snake_case					(      UpperCAmelCase_						:						Dict		):
 if not head:
  return True
 # split the list to two parts
 lowerCamelCase_ ,lowerCamelCase_      =  head.next, head
 while fast and fast.next:
  lowerCamelCase_      =  fast.next.next
  lowerCamelCase_      =  slow.next
 lowerCamelCase_      =  slow.next
 lowerCamelCase_      =  None  # Don't forget here! But forget still works!
 # reverse the second part
 lowerCamelCase_      =  None
 while second:
  lowerCamelCase_      =  second.next
  lowerCamelCase_      =  node
  lowerCamelCase_      =  second
  lowerCamelCase_      =  nxt
 # compare two parts
 # second part has the same or one less node
 while node:
  if node.val != head.val:
   return False
  lowerCamelCase_      =  node.next
  lowerCamelCase_      =  head.next
 return True





def __snake_case					(      UpperCAmelCase_						:						int		):
 if not head or not head.next:
  return True

 # 1. Get the midpoint (slow)
 lowerCamelCase_      =  lowerCamelCase_      =  lowerCamelCase_      =  head
 while fast and fast.next:
  lowerCamelCase_ ,lowerCamelCase_      =  fast.next.next, slow.next

 # 2. Push the second half into the stack
 lowerCamelCase_      =  [slow.val]
 while slow.next:
  lowerCamelCase_      =  slow.next
  stack.append(slow.val		)

 # 3. Comparison
 while stack:
  if stack.pop() != cur.val:
   return False
  lowerCamelCase_      =  cur.next

 return True







def __snake_case					(      UpperCAmelCase_						:						Optional[int]		):
 if not head or not head.next:
  return True
 lowerCamelCase_      =  {}
 lowerCamelCase_      =  0
 while head:
  if head.val in d:
   d[head.val].append(UpperCAmelCase_		)
  else:
   lowerCamelCase_      =  [pos]
  lowerCamelCase_      =  head.next
  pos += 1
 lowerCamelCase_      =  pos - 1
 lowerCamelCase_      =  0
 for v in d.values():
  if len(UpperCAmelCase_		) % 2 != 0:
   middle += 1
  else:
   lowerCamelCase_      =  0
   for i in range(0					,				len(UpperCAmelCase_		)		):
    if v[i] + v[len(UpperCAmelCase_		) - 1 - step] != checksum:
     return False
    step += 1
  if middle > 1:
   return False
 return True











"""simple docstring"""



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


__A		:       Dict  				=		logging.get_logger(__name__)

__A		:       Union[str, Any]  				=		{
    '''facebook/vit-mae-base''': '''https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json''',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}





class 					_UpperCAmelCase       ( _A							):
					SCREAMING_SNAKE_CASE_		:				Union[str, Any]							    =   "vit_mae"




					def __init__(				self     :						Dict    ,						A     :						List[str]=7_68    ,						A     :						Any=12    ,						A     :						Union[str, Any]=12    ,						A     :						Tuple=30_72    ,						A     :						Any="gelu"    ,						A     :						Tuple=0.0    ,						A     :						List[str]=0.0    ,						A     :						Tuple=0.02    ,						A     :						Tuple=1e-12    ,						A     :						int=2_24    ,						A     :						Dict=16    ,						A     :						int=3    ,						A     :						Tuple=True    ,						A     :						Tuple=16    ,						A     :						Optional[Any]=5_12    ,						A     :						Union[str, Any]=8    ,						A     :						List[Any]=20_48    ,						A     :						Dict=0.75    ,						A     :						Any=False    ,						**A     :						Optional[int]    ,						)  ->  Union[str, Any]:
							super().__init__(**A   )

							lowercase_ : List[Any]							       =   hidden_size
							lowercase_ : str							       =   num_hidden_layers
							lowercase_ : List[Any]							       =   num_attention_heads
							lowercase_ : Any							       =   intermediate_size
							lowercase_ : Optional[int]							       =   hidden_act
							lowercase_ : List[Any]							       =   hidden_dropout_prob
							lowercase_ : int							       =   attention_probs_dropout_prob
							lowercase_ : int							       =   initializer_range
							lowercase_ : Dict							       =   layer_norm_eps
							lowercase_ : Optional[Any]							       =   image_size
							lowercase_ : str							       =   patch_size
							lowercase_ : Dict							       =   num_channels
							lowercase_ : Any							       =   qkv_bias
							lowercase_ : Union[str, Any]							       =   decoder_num_attention_heads
							lowercase_ : Optional[Any]							       =   decoder_hidden_size
							lowercase_ : List[str]							       =   decoder_num_hidden_layers
							lowercase_ : List[Any]							       =   decoder_intermediate_size
							lowercase_ : Optional[Any]							       =   mask_ratio
							lowercase_ : Optional[Any]							       =   norm_pix_loss



