code: def tile(cls, op):
      combine_size = options.combine_size
      x, value = op.input, op.value
      check_chunks = []
      for i, chunk in enumerate(x.chunks):
          chunk_op = cls(
              err_msg=op.err_msg,
              stage=OperandStage.map,
              output_types=[OutputType.tensor],
          )
          check_chunk = chunk_op.new_chunk(
              [chunk],
              shape=(),
              index=(i,),
              dtype=np.dtype(bool),
              order=TensorOrder.C_ORDER,
          )
          check_chunks.append(check_chunk)
  
      while len(check_chunks) > 1:
          prev_check_chunks = check_chunks
          check_chunks = []
          chunk_size = ceildiv(len(prev_check_chunks), combine_size)
          for i in range(chunk_size):
              chunks = prev_check_chunks[
                  i * combine_size : (i + 1) * combine_size
              ]
              chunk_op = cls(
                  err_msg=op.err_msg,
                  stage=OperandStage.combine,
                  output_types=[OutputType.tensor],
              )
              check_chunk = chunk_op.new_chunk(
                  chunks,
                  shape=(),
                  index=(i,),
                  dtype=np.dtype(bool),
                  order=TensorOrder.C_ORDER,
              )
              check_chunks.append(check_chunk)
  
      check_chunk = check_chunks[0]
      out_chunks = []
      for val_chunk in value.chunks:
          chunk_op = cls(
              value=val_chunk,
              err_msg=op.err_msg,
              stage=OperandStage.agg,
              output_types=op.output_types,
          )
          out_chunk = chunk_op.new_chunk(
              [check_chunk, val_chunk], kws=[val_chunk.params]
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      kw = op.outputs[0].params
      kw["chunks"] = out_chunks
      kw["nsplits"] = value.nsplits
      return new_op.new_tileables(op.inputs, kws=[kw])
  
imports: import numpy
  from ...None import opcodes
  from ...None import tensor
  from ...core import ENTITY_TYPE, get_output_types, recursive_tile
  from ...core.operand import OperandStage
  from ...config import options
  from ...serialization.serializables import KeyField, StringField, BoolField, DataTypeField
  from ...tensor.core import TensorOrder, TENSOR_CHUNK_TYPE
  from ...tensor.array_utils import as_same_device, device, issparse, get_array_module
  from ...utils import ceildiv
  from ..operands import LearnOperand, LearnOperandMixin, OutputType
label_desc: Use image node_id 7 for calling the CheckBase obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op