code: def execute(cls, ctx, op):
      if op.gpu:  # pragma: no cover
          raise NotImplementedError(
              "Does not support tree-based nearest neighbors on GPU"
          )
  
      x = ctx[op.input.key]
      if len(op.inputs) == 2:
          tree = ctx[op.tree.key]
      else:
          tree = op.tree
      tree = (
          cloudpickle.loads(tree) if isinstance(tree, bytes) else tree
      )
      ret = tree.query(x, op.n_neighbors, op.return_distance)
      if op.return_distance:
          ctx[op.outputs[0].key] = ret[0]
          ctx[op.outputs[1].key] = ret[1]
      else:
          ctx[op.outputs[0].key] = ret
  
imports: import cloudpickle
  import numpy
  from ...core import Object, OBJECT_TYPE, OBJECT_CHUNK_TYPE, recursive_tile
  from ...serialization.serializables import KeyField, Int32Field, DictField, AnyField, BoolField
  from ...tensor.core import TensorOrder
  from ...utils import has_unknown_shape, tokenize
  from ..operands import LearnOperand, LearnOperandMixin, OutputType
label_desc: Use image node_id 11 for calling the TreeQueryBase obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types