code: 
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   :
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__		):
              lowercase			:   Dict					   =		data
              lowercase			:   Any					   =		None
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   :
  
  
        def __init__(							self		):
              lowercase			:   int					   =		None
  
  
        def        __lowerCamelCase			(							self							,						SCREAMING_SNAKE_CASE__		):
              lowercase			:   str					   =		Node(lowerCamelCase_		)
              lowercase			:   Optional[Any]					   =		self.head
              lowercase			:   int					   =		new_node
              return self.head.data
  
  
  
  
  
  
        def        __lowerCamelCase			(							self		):
              lowercase			:   Any					   =		self.head
              lowercase			:   Optional[int]					   =		self.head
              if self.head:
                    while fast_pointer and fast_pointer.next:
                          lowercase			:   str					   =		fast_pointer.next.next
                          lowercase			:   Optional[Any]					   =		slow_pointer.next
                    return slow_pointer.data
              else:
                    print('''No element found.'''		)
                    return None
  
  
  if __name__ == "__main__":
    __a     :   List[Any]   				=      LinkedList()
    for _ in range(int(input().strip())):
      __a     :   Tuple   				=      int(input().strip())
      link.push(data)
    print(link.middle_element())
  
  
style_context: 
  
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      is_torch_available,
      is_transformers_available,
      is_transformers_version,
  )
  
  
  try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        AudioLDMPipeline,
    )
  else:
    from .pipeline_audioldm import AudioLDMPipeline
  
  