class 			UpperCamelCase					:

     '''simple docstring'''

     def __init__(       self					,					A_=None    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					data
           _lowerCamelCase           =					None





     def __repr__(       self    )			->					List[str]:






           """simple docstring"""
           _lowerCamelCase           =					''''''
           _lowerCamelCase           =					self
           while temp:
                 string_rep += F'<{temp.data}> ---> '
                 _lowerCamelCase           =					temp.next
           string_rep += "<END>"
           return string_rep





def    __magic_name__(	__UpperCAmelCase		)    ->     List[Any]:



      '''simple docstring'''

      if not elements_list:
            raise Exception('''The Elements List is empty'''		)

      # Set first element as Head
      _lowerCamelCase           =					Node(elements_list[0]		)
      _lowerCamelCase           =					head
      # Loop through elements from position 1
      for data in elements_list[1:]:
            _lowerCamelCase           =					Node(lowercase__		)
            _lowerCamelCase           =					current.next
      return head


snake_case__						      =			[1, 3, 5, 32, 44, 12, 43]
print(f'''List: {list_data}''')
print('Creating Linked List from List.')
snake_case__						      =			make_linked_list(list_data)
print('Linked List:')




print(linked_list)



__SCREAMING_SNAKE_CASE	:							Optional[Any]           =  '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

__SCREAMING_SNAKE_CASE	:							Optional[int]           =  [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
__SCREAMING_SNAKE_CASE	:							Optional[int]           =  {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}

