code: def _execute_map(cls, ctx, op):
      nsplits = op.input_nsplits
      shuffle_axes = op.shuffle_axes
      all_inputs = [ctx[inp.key] for inp in op.inputs]
      if hasattr(op.value, "key"):
          value = ctx[op.value.key]
          indexes = all_inputs[1:]
      else:
          value = op.value
          indexes = all_inputs
  
      offsets_on_axis = [
          np.cumsum([0] + list(split)) for split in nsplits
      ]
      for reducer_index in itertools.product(
          *(map(range, [len(s) for s in nsplits]))
      ):
          chunk_filters = []
          indexes_iter = iter(indexes)
          for axis, _ in enumerate(reducer_index):
              start = offsets_on_axis[axis][reducer_index[axis]]
              end = offsets_on_axis[axis][reducer_index[axis] + 1]
              if axis in shuffle_axes:
                  index_on_axis = next(indexes_iter)
                  filtered = (index_on_axis >= start) & (
                      index_on_axis < end
                  )
                  chunk_filters.append(filtered)
          combined_filter = functools.reduce(
              operator.and_, chunk_filters
          )
          if hasattr(op.value, "key"):
              ctx[op.outputs[0].key, reducer_index] = tuple(
                  inp[combined_filter] for inp in all_inputs
              )
          else:
              ctx[op.outputs[0].key, reducer_index] = tuple(
                  [value] + [inp[combined_filter] for inp in all_inputs]
              )
  
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 11 for calling the TensorIndexSetValue obj's underlying member method code with example usage: obj._execute_map(cls, ctx, op) without return types