code: def __init__(
      self,
      positive=None,
      use_inf_as_na=None,
      sparse=None,
      output_types=None,
      **kw,
  ):
      super().__init__(
          _positive=positive,
          _use_inf_as_na=use_inf_as_na,
          _output_types=output_types,
          sparse=sparse,
          **kw,
      )
  
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 1 to create a new DataFrameCheckNA object from inherited base classes: DataFrameOperand, DataFrameOperandMixin with example: obj = DataFrameCheckNA(positive, use_inf_as_na, sparse, output_types)