code: 
  """simple docstring"""
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  _lowerCAmelCase					:Union[str, Any]  =      logging.get_logger(__name__)
  
  _lowerCAmelCase					:List[Any]  =      {
      'MCG-NJU/videomae-base': 'https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json',
  }
  class 							_UpperCAmelCase							(				A__   ):
  
  
  
  
  
       '''simple docstring'''
  
  
  
       a__             ='''videomae'''
  
  
  
  
  
       def __init__(      self ,			A=2_2_4 ,			A=1_6 ,			A=3 ,			A=1_6 ,			A=2 ,			A=7_6_8 ,			A=1_2 ,			A=1_2 ,			A=3_0_7_2 ,			A="gelu" ,			A=0.0 ,			A=0.0 ,			A=0.02 ,			A=1E-12 ,			A=True ,			A=True ,			A=6 ,			A=3_8_4 ,			A=4 ,			A=1_5_3_6 ,			A=True ,			**A ,			)							->      Tuple:
           super().__init__(**_lowerCAmelCase	)
  
           _UpperCAmelCase							:						Union[str, Any]       							=					image_size
           _UpperCAmelCase							:						int       							=					patch_size
           _UpperCAmelCase							:						Union[str, Any]       							=					num_channels
           _UpperCAmelCase							:						Dict       							=					num_frames
           _UpperCAmelCase							:						List[Any]       							=					tubelet_size
  
           _UpperCAmelCase							:						Any       							=					hidden_size
           _UpperCAmelCase							:						int       							=					num_hidden_layers
           _UpperCAmelCase							:						Union[str, Any]       							=					num_attention_heads
           _UpperCAmelCase							:						List[str]       							=					intermediate_size
           _UpperCAmelCase							:						List[Any]       							=					hidden_act
           _UpperCAmelCase							:						int       							=					hidden_dropout_prob
           _UpperCAmelCase							:						Optional[Any]       							=					attention_probs_dropout_prob
           _UpperCAmelCase							:						Dict       							=					initializer_range
           _UpperCAmelCase							:						str       							=					layer_norm_eps
           _UpperCAmelCase							:						Any       							=					qkv_bias
           _UpperCAmelCase							:						Union[str, Any]       							=					use_mean_pooling
  
           _UpperCAmelCase							:						Any       							=					decoder_num_attention_heads
           _UpperCAmelCase							:						List[str]       							=					decoder_hidden_size
           _UpperCAmelCase							:						int       							=					decoder_num_hidden_layers
           _UpperCAmelCase							:						Any       							=					decoder_intermediate_size
           _UpperCAmelCase							:						List[Any]       							=					norm_pix_loss
  
  
  
style_context: 
  
  
  
  """simple docstring"""
  def 				lowerCamelCase_		(UpperCamelCase__	:	List[Any]  , UpperCamelCase__	:	int							):
      sequence.append(UpperCamelCase__							)
  
      _UpperCAmelCase							:						str       							=					0
      while sequence[index] != target:
          index += 1
  
      sequence.pop()
  
      if index == len(UpperCamelCase__							):
          return None
  
      return index
  
  
  if __name__ == "__main__":
    _lowerCAmelCase					:Dict  =      input('Enter numbers separated by comma:\n').strip()
    _lowerCAmelCase					:List[Any]  =      [int(item) for item in user_input.split(',')]
  
    _lowerCAmelCase					:int  =      input('Enter a single number to be found in the list:\n')
    _lowerCAmelCase					:List[Any]  =      int(target_input)
    _lowerCAmelCase					:Optional[int]  =      sentinel_linear_search(sequence, target)
    if result is not None:
      print(f"{target} found at positions: {result}")
    else:
      print('Not found')
  
  
  