void BaseSolver::set_model(Model const& new_model) {
is_solved = false;
model = new_model;
if (strategy) {// try to assign a new Hamiltonian to the existing Solver strategy
bool success = strategy->change_hamiltonian(model.hamiltonian());
if (!success) { // fails if the they have incompatible scalar types
strategy.reset();
}
}
if (!strategy) { // creates a SolverStrategy with a scalar type suited to the Hamiltonian
strategy = make_strategy(model.hamiltonian());
}
}
assert(high - low > 0.0001);
return low + (random() * (high - low) / ((double) RAND_MAX));
}
static void run_reset_test(CTEST_DATA(reset_test) *data,
enum EvalMethod method)
{
instruments_strategy_t strategies[3];
int i;
// use enough estimators to look like intnw
struct test_data tdata[2] = {
{ &data->dummy[0], 2, data->mid_estimator },
{ &data->dummy[2], 1, data->hilo_estimator },
};
strategies[0] = make_strategy(estimator_value, NULL, high_cost, (void*) &tdata[0], NULL);
ASSERT_NOT_NULL(strategies[0]);
set_strategy_name(strategies[0], "mid");
strategies[1] = make_strategy(estimator_value, NULL, high_cost, (void*) &tdata[1], NULL);
ASSERT_NOT_NULL(strategies[1]);
set_strategy_name(strategies[1], "hilo");
strategies[2] = make_redundant_strategy(strategies, 2, NULL);
ASSERT_NOT_NULL(strategies[2]);
set_strategy_name(strategies[2], "both");
set_estimator_range_hints(data->mid_estimator, 0.5, 20.5, 20);
set_estimator_range_hints(data->hilo_estimator, 0.5, 20.5, 20);
for (i = 0; i < 3; ++i) {
set_estimator_range_hints(data->dummy[i], 0.5, 20.5, 20);
}
