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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 remove_preconstraints(self, to_composite_solver=True, simplify=True):
 """ Remove the preconstraints from the state. If you are using the zen plugin, this will also use that to filter the constraints. :param to_composite_solver: Whether to convert the replacement solver to a composite solver. You probably want this if you're switching from tracing to symbolic analysis. :param simplify: Whether to simplify the resulting set of constraints. """

        if not self.preconstraints:
            return

        # cache key set creation
        precon_cache_keys = set()

        for con in self.preconstraints:
            precon_cache_keys.add(con.cache_key)

        # if we used the replacement solver we didn't add constraints we need to remove so keep all constraints
        if o.REPLACEMENT_SOLVER in self.state.options:
            new_constraints = self.state.solver.constraints
        else:
            new_constraints = list(filter(lambda x: x.cache_key not in precon_cache_keys, self.state.solver.constraints))


        if self.state.has_plugin("zen_plugin"):
            new_constraints = self.state.get_plugin("zen_plugin").filter_constraints(new_constraints)

        if to_composite_solver:
            self.state.options.discard(o.REPLACEMENT_SOLVER)
            self.state.options.add(o.COMPOSITE_SOLVER)

        # clear the solver's internal memory and replace it with the new solver options and constraints
        self.state.solver.reload_solver(new_constraints)

        if simplify:
            l.debug("simplifying solver...")
            self.state.solver.simplify()
            l.debug("...simplification done")