def simulatedAnnealingSolver(inputs, T=100, n_iter=10000, temp_update=.9):
if inputs["rides"] < 100:
n_iter = 300
temp_update = .9
elif inputs["rides"] < 1000:
n_iter = 1000
temp_update = .95
else:
n_iter = 5000
temp_update = .99
model = SimulatedAnnealing(inputs,
T=T,
n_iter=n_iter,
temp_update=temp_update)
model.fit()
print("score ", model.cur_score)
return model.solution
