code: def tile(cls, op):
      inp = op.input
  
      if inp.chunk_shape[1] != 1:
          if has_unknown_shape(inp):
              yield
          inp = yield from recursive_tile(
              inp.rechunk({1: inp.shape[1]})
          )
  
      tree_chunk = None
      if isinstance(op.tree, OBJECT_TYPE):
          tree_chunk = op.tree.chunks[0]
      out_chunks = [[] for _ in range(len(op.outputs))]
      for chunk in inp.chunks:
          chunk_op = op.copy().reset_key()
          if tree_chunk is not None:
              chunk_op._tree = tree_chunk
          chunk_kws = []
          if op.return_distance:
              chunk_kws.append(
                  {
                      "shape": (chunk.shape[0], op.n_neighbors),
                      "dtype": np.dtype(np.float64),
                      "order": chunk.order,
                      "index": chunk.index,
                      "type": "distance",
                  }
              )
          chunk_kws.append(
              {
                  "shape": (chunk.shape[0], op.n_neighbors),
                  "dtype": np.dtype(np.int64),
                  "order": TensorOrder.C_ORDER,
                  "index": chunk.index,
                  "type": "indices",
              }
          )
          chunk_inputs = [chunk]
          if tree_chunk is not None:
              chunk_inputs.append(tree_chunk)
          chunks = chunk_op.new_chunks(
              chunk_inputs, kws=chunk_kws, output_limit=len(chunk_kws)
          )
          for cs, c in zip(out_chunks, chunks):
              cs.append(c)
  
      kws = [o.params for o in op.outputs]
      nsplits = list(inp.nsplits)
      nsplits[1] = (op.n_neighbors,)
      if op.return_distance:
          kws[0]["chunks"] = out_chunks[0]
          kws[0]["nsplits"] = tuple(nsplits)
      kws[-1]["chunks"] = out_chunks[-1]
      kws[-1]["nsplits"] = tuple(nsplits)
      new_op = op.copy()
      return new_op.new_tileables(
          op.inputs, kws=kws, output_limit=len(kws)
      )
  
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 10 for calling the TreeQueryBase obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op