# Size of variable arrays: sizeAlgebraic = 3 sizeStates = 4 sizeConstants = 12 from math import * from numpy import * def createLegends(): legend_states = [""] * sizeStates legend_rates = [""] * sizeStates legend_algebraic = [""] * sizeAlgebraic legend_voi = "" legend_constants = [""] * sizeConstants legend_voi = "time in component environment (day)" legend_constants[0] = "s in component uninfected (per_day_mm3)" legend_constants[1] = "r in component uninfected (per_day)" legend_constants[2] = "T_max in component uninfected (per_mm3)" legend_constants[3] = "mu_T in component uninfected (per_day)" legend_constants[4] = "theta in component uninfected (per_mm3)" legend_constants[5] = "k_1 in component latently_infected (mm3_per_day)" legend_states[0] = "T_1 in component latently_infected (per_mm3)" legend_states[1] = "T_2 in component actively_infected (per_mm3)" legend_states[2] = "V in component free_virus_particle (per_mm3)" legend_algebraic[0] = "s_V in component uninfected (per_day_mm3)" legend_states[3] = "T in component uninfected (per_mm3)" legend_constants[6] = "k_2 in component actively_infected (per_day)" legend_constants[7] = "mu_b in component actively_infected (per_day)" legend_constants[8] = "mu_V in component free_virus_particle (per_day)" legend_algebraic[1] = "N in component AZT (dimensionless)" legend_algebraic[2] = "T_tot in component T_cell_population (per_mm3)" legend_constants[9] = "tau in component AZT (day)" legend_constants[10] = "N_initial in component AZT (dimensionless)" legend_constants[11] = "N_AZT in component AZT (dimensionless)" legend_rates[3] = "d/dt T in component uninfected (per_mm3)" legend_rates[0] = "d/dt T_1 in component latently_infected (per_mm3)" legend_rates[1] = "d/dt T_2 in component actively_infected (per_mm3)" legend_rates[2] = "d/dt V in component free_virus_particle (per_mm3)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; constants[0] = 10 constants[1] = 0.03 constants[2] = 1500 constants[3] = 0.02 constants[4] = 1 constants[5] = 2.4E-5 states[0] = 0 states[1] = 0 states[2] = 1.0E-3 states[3] = 1000 constants[6] = 3E-3 constants[7] = 0.24 constants[8] = 2.4 constants[9] = 1096 constants[10] = 1400 constants[11] = 1050 return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic rates[0] = (constants[5]*states[2]*states[3]-constants[3]*states[0])-constants[6]*states[0] rates[1] = constants[6]*states[0]-constants[7]*states[1] algebraic[0] = (constants[4]*constants[0])/(constants[4]+states[2]) rates[3] = ((algebraic[0]-constants[3]*states[3])+constants[1]*states[3]*(1.00000-(states[3]+states[0]+states[1])/constants[2]))-constants[5]*states[2]*states[3] algebraic[1] = custom_piecewise([less(voi , constants[9]), constants[10] , greater_equal(voi , constants[9]), constants[11] , True, float('nan')]) rates[2] = (algebraic[1]*constants[7]*states[1]-constants[5]*states[2]*states[3])-constants[8]*states[2] return(rates) def computeAlgebraic(constants, states, voi): algebraic = array([[0.0] * len(voi)] * sizeAlgebraic) states = array(states) voi = array(voi) algebraic[0] = (constants[4]*constants[0])/(constants[4]+states[2]) algebraic[1] = custom_piecewise([less(voi , constants[9]), constants[10] , greater_equal(voi , constants[9]), constants[11] , True, float('nan')]) algebraic[2] = states[3]+states[0]+states[1] return algebraic def custom_piecewise(cases): """Compute result of a piecewise function""" return select(cases[0::2],cases[1::2]) def solve_model(): """Solve model with ODE solver""" from scipy.integrate import ode # Initialise constants and state variables (init_states, constants) = initConsts() # Set timespan to solve over voi = linspace(0, 10, 500) # Construct ODE object to solve r = ode(computeRates) r.set_integrator('vode', method='bdf', atol=1e-06, rtol=1e-06, max_step=1) r.set_initial_value(init_states, voi[0]) r.set_f_params(constants) # Solve model states = array([[0.0] * len(voi)] * sizeStates) states[:,0] = init_states for (i,t) in enumerate(voi[1:]): if r.successful(): r.integrate(t) states[:,i+1] = r.y else: break # Compute algebraic variables algebraic = computeAlgebraic(constants, states, voi) return (voi, states, algebraic) def plot_model(voi, states, algebraic): """Plot variables against variable of integration""" import pylab (legend_states, legend_algebraic, legend_voi, legend_constants) = createLegends() pylab.figure(1) pylab.plot(voi,vstack((states,algebraic)).T) pylab.xlabel(legend_voi) pylab.legend(legend_states + legend_algebraic, loc='best') pylab.show() if __name__ == "__main__": (voi, states, algebraic) = solve_model() plot_model(voi, states, algebraic)