code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      it = iter(inputs)
      for attr in ["_data", "_label", "_sample_weight", "_init_score"]:
          if getattr(self, attr) is not None:
              setattr(self, attr, next(it))
      for attr in [
          "_eval_datas",
          "_eval_labels",
          "_eval_sample_weights",
          "_eval_init_scores",
      ]:
          new_list = []
          for c in getattr(self, attr, None) or []:
              if c is not None:
                  new_list.append(next(it))
          setattr(self, attr, new_list or None)
  
      if self._worker_ports is not None:
          self._worker_ports = next(it)
  
imports: import itertools
  import logging
  import operator
  import pickle
  from collections import defaultdict
  from functools import reduce
  import numpy
  from ....None import opcodes
  from ....core import ExecutableTuple, OutputType, recursive_tile
  from ....core.context import get_context
  from ....core.operand import MergeDictOperand
  from ....serialization.serializables import FieldTypes, DictField, Int32Field, KeyField, ListField, StringField
  from ...utils import concat_chunks, collect_ports
  from ._align import align_data_set
  from .core import LGBMModelType, get_model_cls_from_type
label_desc: Use image node_id 18 for calling the LGBMTrain obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types