code: 
  
  
  class 				__SCREAMING_SNAKE_CASE   :
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__=None		):
              lowercase			:   Tuple					   =		data
              lowercase			:   Tuple					   =		None
  
  
  
  
  
  
        def __repr__(							self		):
              lowercase			:   Any					   =		''''''
              lowercase			:   int					   =		self
              while temp:
                    string_rep += f"""<{temp.data}> ---> """
                    lowercase			:   List[str]					   =		temp.next
              string_rep += "<END>"
              return string_rep
  
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->List[Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        if not elements_list:
              raise Exception('''The Elements List is empty'''     )
  
        # Set first element as Head
        lowercase			:   Optional[Any]					   =		Node(elements_list[0]     )
        lowercase			:   Tuple					   =		head
        # Loop through elements from position 1
        for data in elements_list[1:]:
              lowercase			:   Any					   =		Node(_UpperCamelCase     )
              lowercase			:   List[str]					   =		current.next
        return head
  
  
  __a   				=      [1, 3, 5, 32, 44, 12, 43]
  print(F'''List: {list_data}''')
  print('''Creating Linked List from List.''')
  __a   				=      make_linked_list(list_data)
  print('''Linked List:''')
  
  
  
  print(linked_list)
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  __a   				=      {
      '''configuration_decision_transformer''': [
          '''DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
          '''DecisionTransformerConfig''',
      ],
  }
  
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    __a   				=      [
        '''DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''DecisionTransformerGPT2Model''',
        '''DecisionTransformerGPT2PreTrainedModel''',
        '''DecisionTransformerModel''',
        '''DecisionTransformerPreTrainedModel''',
    ]
  
  
  if TYPE_CHECKING:
    from .configuration_decision_transformer import (
        DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
        DecisionTransformerConfig,
    )
  
    try:
      if not is_torch_available():
        raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
      pass
    else:
      from .modeling_decision_transformer import (
          DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          DecisionTransformerGPTaModel,
          DecisionTransformerGPTaPreTrainedModel,
          DecisionTransformerModel,
          DecisionTransformerPreTrainedModel,
      )
  
  
  else:
    import sys
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  