code: def tile(cls, op: "DataFrameCheckNA"):
      in_df = op.inputs[0]
      out_df = op.outputs[0]
  
      chunks = []
      for c in in_df.chunks:
          params = c.params.copy()
          if op.output_types[0] == OutputType.dataframe:
              params["dtypes"] = pd.Series(
                  [np.dtype("bool")] * len(c.dtypes),
                  index=c.columns_value.to_pandas(),
              )
          else:
              params["dtype"] = np.dtype("bool")
          new_op = op.copy().reset_key()
          chunks.append(new_op.new_chunk([c], **params))
  
      new_op = op.copy().reset_key()
      params = out_df.params.copy()
      params.update(dict(chunks=chunks, nsplits=in_df.nsplits))
      return new_op.new_tileables([in_df], **params)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...None import tensor
  from ...config import options
  from ...core import OutputType
  from ...serialization.serializables import BoolField
  from ..core import MultiIndex
  from ..operands import DataFrameOperand, DataFrameOperandMixin, DATAFRAME_TYPE, ENTITY_TYPE, INDEX_TYPE, SERIES_TYPE, TENSOR_TYPE
  from typing import Any
label_desc: Use image node_id 5 for calling the DataFrameCheckNA obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op