Repeated calculation of angr CFGFasr leads to low running efficiency and high memory consumption when there are too many function

[xzjpgithub]

in AngrAnalysis.init()
self.cfg = self.target.analyses.CFG(
resolve_indirect_jumps=True,
cross_references=True,
force_complete_scan=False,
normalize=True,
symbols=True,
)

the edges of functions is already in self.cfg
the way to get edges of function are followings

for func in self.cfg.functions.values():
print(func.addr, len(func.transition_graph.edges))

so I think the code of function get_cyclomatic_complexity(),

cfg = self.target.analyses.CFGFast(
force_complete_scan=False, start_at_entry=hex(func.addr)
)

This code uses CFGFast to recalculate edges for each function.
Leading to low running efficiency and high memory consumption when there are too many function.

Can we optimize this ：)

                                                                                                                                                                                Best regards
                                                                                                                                                                                       XZJ