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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 _detect_loops(self, loop_callback=None):
 """ Loop detection. :param func loop_callback: A callback function for each detected loop backedge. :return: None """


        loop_finder = self.project.analyses.LoopFinder(kb=self.kb, normalize=False, fail_fast=self._fail_fast)

        if loop_callback is not None:
            graph_copy = networkx.DiGraph(self._graph)

            for loop in loop_finder.loops:  # type: angr.analyses.loopfinder.Loop
                loop_callback(graph_copy, loop)

            self.model.graph = graph_copy

        # Update loop backedges and graph
        self._loop_back_edges = list(itertools.chain.from_iterable(loop.continue_edges for loop in loop_finder.loops))