code: def execute(cls, ctx, op: "DataFrameIndex"):
      if op.mask is None:
          df = ctx[op.inputs[0].key]
          ctx[op.outputs[0].key] = df[op.col_names]
      else:
          df = ctx[op.inputs[0].key]
          if isinstance(
              op.mask,
              (
                  SERIES_CHUNK_TYPE,
                  DATAFRAME_CHUNK_TYPE,
                  TENSOR_CHUNK_TYPE,
              ),
          ):
              mask = ctx[op.inputs[1].key]
          else:
              mask = op.mask
          if hasattr(mask, "reindex_like") and not op.identical_index:
              mask = mask.reindex_like(df).fillna(False)
          ctx[op.outputs[0].key] = df[mask]
  
imports: import itertools
  from numbers import Integral
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import AnyField, Int32Field, BoolField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ...tensor.datasource import tensor
  from ...utils import has_unknown_shape
  from ..align import align_dataframe_series, align_dataframe_dataframe
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE, DATAFRAME_TYPE, DATAFRAME_CHUNK_TYPE, is_chunk_meta_lazy
  from ..merge import DataFrameConcat
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, in_range_index
  from .utils import calc_columns_index
label_desc: Use image node_id 7 for calling the DataFrameIndex obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types