code: def execute(cls, ctx, op):
      chunk = op.outputs[0]
  
      if len(op.inputs) == 2:
          # axis 1 has more than 1 chunk
          index_chunk, input_chunk = op.inputs
          # Optimization: we don't need to get value of the column
          # that is set as new index.
          if input_chunk.key == index_chunk.key:
              new_index = op.keys
          else:
              new_index = ctx[index_chunk.key][op.keys]
          ctx[chunk.key] = ctx[input_chunk.key].set_index(
              new_index,
              drop=op.drop,
              append=op.append,
              verify_integrity=op.verify_integrity,
          )
      else:
          # axis 1 has 1 chunk
          inp = ctx[op.inputs[0].key]
          ctx[chunk.key] = inp.set_index(
              op.keys,
              drop=op.drop,
              append=op.append,
              verify_integrity=op.verify_integrity,
          )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import AnyField, BoolField
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_empty_df, parse_index
label_desc: Use image node_id 10 for calling the DataFrameSetIndex obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types