code: def execute(
      cls, ctx: Union[dict, Context], op: "TensorIndexSetValue"
  ):
      if op.stage == OperandStage.map:
          return cls._execute_map(ctx, op)
      elif op.stage == OperandStage.reduce:
          return cls._execute_reduce(ctx, op)
      else:
          return cls._execute(ctx, op)
  
imports: import functools
  import itertools
  import operator
  from numbers import Integral
  from typing import Union
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE, recursive_tile
  from ...core.context import Context
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, TupleField, AnyField, BoolField
  from ...tensor import tensor
  from ...utils import has_unknown_shape
  from ..base import broadcast_to
  from ..core import TENSOR_TYPE, TensorOrder
  from ..operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ..utils import broadcast_shape, filter_inputs
  from .core import process_index
label_desc: Use image node_id 9 for calling the TensorIndexSetValue obj's underlying member method code with example usage: obj.execute(cls, ctx, op) and returns: cls, cls, cls