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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 minimize_core(self):
 """ Reduce a previously extracted core and compute an over-approximation of an MUS. This is done using the simple deletion-based MUS extraction algorithm. The idea is to try to deactivate soft clauses of the unsatisfiable core one by one while checking if the remaining soft clauses together with the hard part of the formula are unsatisfiable. Clauses that are necessary for preserving unsatisfiability comprise an MUS of the input formula (it is contained in the given unsatisfiable core) and are reported as a result of the procedure. During this core minimization procedure, all SAT calls are dropped after obtaining 1000 conflicts. """


        if self.minz and len(self.core) > 1:
            self.core = sorted(self.core, key=lambda l: self.wght[l])
            self.oracle.conf_budget(1000)

            i = 0
            while i < len(self.core):
                to_test = self.core[:i] + self.core[(i + 1):]

                if self.oracle.solve_limited(assumptions=to_test) == False:
                    self.core = to_test
                else:
                    i += 1