gamma = p[3]
flux = np.array(
[alpha * y[0], beta * y[0] * y[1], delta * y[0] * y[1], gamma * y[1]])
rhs = np.array([flux[0] - flux[1], flux[2] - flux[3]])
return rhs
if __name__ == '__main__':
p = np.array([.5, .02, .4, .004])
ode_function = lambda t, x: rhs_fun(t, x, p)
# define explicit assimulo problem
prob = Explicit_Problem(ode_function, y0=np.array([10, .0001]))
# create solver instance
solver = CVode(prob)
solver.iter = 'Newton'
solver.discr = 'Adams'
solver.atol = 1e-10
solver.rtol = 1e-10
solver.display_progress = True
solver.verbosity = 10
# simulate system
time_course, y_result = solver.simulate(10, 200)
print time_course
print y_result
