def dbg_repr_run(self, run_addr):

        if self.project.is_hooked(run_addr):
            ss = "%#x Hooked\n" % run_addr

        else:
            ss = "%#x\n" % run_addr

            # statements
            chosen_statements = self.chosen_statements[run_addr]

            vex_block = self.project.factory.block(run_addr).vex

            statements = vex_block.statements
            for i in range(0, len(statements)):
                if i in chosen_statements:
                    line = "+"
                else:
                    line = "-"
                line += "[% 3d] " % i
                line += str(statements[i])
                ss += line + "\n"

            # exits
            targets = self.chosen_exits[run_addr]
            addr_strs = [ ]
            for exit_stmt_id, target_addr in targets:
                if target_addr is None:
                    addr_strs.append("default")
                else:
                    addr_strs.append("%#x" % target_addr)

            ss += "Chosen exits: " + ", ".join(addr_strs)

        return ss
Set the dense feature list that the Python pefile module should extract.
dataset/ETHPy150Open angr/angr/angr/analyses/backward_slice.py/BackwardSlice.dbg_repr_run--crossover with--dataset/ETHPy150Open SuperCowPowers/workbench/workbench/workers/pe_features.py/PEFileWorker.set_dense_features