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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def iterGet(self, objectType, *args, **coolArgs) : 		"""Same as get. But retuns the elements one by one, much more efficient for large outputs"""


		for e in self._makeLoadQuery(objectType, *args, **coolArgs).iterRun() :
			if issubclass(objectType, pyGenoRabaObjectWrapper) :
				yield objectType(wrapped_object_and_bag = (e, self.bagKey))
			else :
				yield e