code: def tile(cls, op: "RebalanceMixin"):
      in_obj = op._get_input_object()
      ctx = get_context()
  
      if ctx is None and op.factor is not None:
          return [in_obj]
  
      if has_unknown_shape(in_obj):
          yield
  
      size = in_obj.shape[op.axis]
      if op.factor is not None:
          cluster_cpu_count = ctx.get_total_n_cpu()
          assert cluster_cpu_count > 0
          expect_n_chunk = int(cluster_cpu_count * op.factor)
      else:
          expect_n_chunk = op.num_partitions
  
      expect_chunk_size = max(ceildiv(size, expect_n_chunk), 1)
      r = yield from recursive_tile(
          in_obj.rechunk(
              {op.axis: expect_chunk_size},
              reassign_worker=op.reassign_worker,
          )
      )
      return r
  
imports: from ...None import opcodes
  from ...core import recursive_tile
  from ...core.context import get_context
  from ...serialization.serializables import KeyField, Float64Field, Int64Field
  from ...tensor.datasource import tensor
  from ...utils import has_unknown_shape, ceildiv
  from ..operands import TensorOperandMixin, TensorOperand
label_desc: Use image node_id 4 for calling the RebalanceMixin obj's underlying member method code with example usage: obj.tile(cls, op) and returns: r, list