code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      self.dtrain = self._inputs[0]
      rest = self._inputs[1:]
      if self.tracker is not None:
          self.tracker = self._inputs[-1]
          rest = rest[:-1]
      if self.evals is not None:
          evals_dict = OrderedDict(self.evals)
          new_evals_dict = OrderedDict()
          for new_key, val in zip(rest, evals_dict.values()):
              new_evals_dict[new_key] = val
          self.evals = list(new_evals_dict.items())
  
imports: import itertools
  import logging
  import pickle
  from collections import OrderedDict, defaultdict
  import numpy
  from ....None import opcodes
  from ....core import OutputType
  from ....core.context import get_context
  from ....core.operand import MergeDictOperand
  from ....serialization.serializables import FieldTypes, DictField, KeyField, ListField
  from ....utils import ensure_own_data
  from .dmatrix import ToDMatrix, to_dmatrix
  from .start_tracker import StartTracker
label_desc: Use image node_id 2 for calling the XGBTrain obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types