code: def __array_wrap__(self, obj, context=None):
      obj = super().__array_wrap__(obj, context)
      if context is not None and context[0] is np.multiply:
          obj.info["multiplied"] = obj.info.get("multiplied", 0) + 1
  
      return obj
  
imports: import numpy
  from numpy.lib.mixins import NDArrayOperatorsMixin
  from numpy.testing import assert_, assert_raises
  from numpy.ma.testutils import assert_equal
  from numpy.ma.core import array, arange, masked, MaskedArray, masked_array, log, add, hypot, divide, asarray, asanyarray, nomask
label_desc: Use image node_id 8 for calling the ComplicatedSubArray obj's underlying member method code with example usage: obj.__array_wrap__(obj, context) and returns: obj