# Size of variable arrays: sizeAlgebraic = 3 sizeStates = 10 sizeConstants = 2 from math import * from numpy import * def createLegends(): legend_states = [""] * sizeStates legend_rates = [""] * sizeStates legend_algebraic = [""] * sizeAlgebraic legend_voi = "" legend_constants = [""] * sizeConstants legend_constants[0] = "p in component jung_10_lesions (per_sec)" legend_constants[1] = "c in component jung_10_lesions (per_sec)" legend_states[0] = "P0 in component jung_10_lesions (conc)" legend_states[1] = "P1 in component jung_10_lesions (conc)" legend_states[2] = "P2 in component jung_10_lesions (conc)" legend_states[3] = "P3 in component jung_10_lesions (conc)" legend_states[4] = "P4 in component jung_10_lesions (conc)" legend_states[5] = "P5 in component jung_10_lesions (conc)" legend_states[6] = "P6 in component jung_10_lesions (conc)" legend_states[7] = "P7 in component jung_10_lesions (conc)" legend_states[8] = "P8 in component jung_10_lesions (conc)" legend_states[9] = "P9 in component jung_10_lesions (conc)" legend_voi = "time in component jung_10_lesions (second)" legend_algebraic[0] = "A in component jung_10_lesions (conc)" legend_algebraic[1] = "D in component jung_10_lesions (conc)" legend_algebraic[2] = "S in component jung_10_lesions (conc)" legend_rates[0] = "d/dt P0 in component jung_10_lesions (conc)" legend_rates[1] = "d/dt P1 in component jung_10_lesions (conc)" legend_rates[2] = "d/dt P2 in component jung_10_lesions (conc)" legend_rates[3] = "d/dt P3 in component jung_10_lesions (conc)" legend_rates[4] = "d/dt P4 in component jung_10_lesions (conc)" legend_rates[5] = "d/dt P5 in component jung_10_lesions (conc)" legend_rates[6] = "d/dt P6 in component jung_10_lesions (conc)" legend_rates[7] = "d/dt P7 in component jung_10_lesions (conc)" legend_rates[8] = "d/dt P8 in component jung_10_lesions (conc)" legend_rates[9] = "d/dt P9 in component jung_10_lesions (conc)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; constants[0] = 1 constants[1] = 1 states[0] = 1 states[1] = 0 states[2] = 0 states[3] = 0 states[4] = 0 states[5] = 0 states[6] = 0 states[7] = 0 states[8] = 0 states[9] = 0 return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic rates[0] = -constants[0]*states[0] rates[1] = (constants[0]*states[0]-constants[0]*states[1])-constants[1]*states[1] rates[2] = (constants[0]*states[1]-constants[0]*states[2])-2.00000*constants[1]*states[2] rates[3] = (constants[0]*states[2]-constants[0]*states[3])-3.00000*constants[1]*states[3] rates[4] = (constants[0]*states[3]-constants[0]*states[4])-4.00000*constants[1]*states[4] rates[5] = (constants[0]*states[4]-constants[0]*states[5])-5.00000*constants[1]*states[5] rates[6] = (constants[0]*states[5]-constants[0]*states[6])-6.00000*constants[1]*states[6] rates[7] = (constants[0]*states[6]-constants[0]*states[7])-7.00000*constants[1]*states[7] rates[8] = (constants[0]*states[7]-constants[0]*states[8])-8.00000*constants[1]*states[8] rates[9] = (constants[0]*states[8]-constants[0]*states[9])-9.00000*constants[1]*states[9] return(rates) def computeAlgebraic(constants, states, voi): algebraic = array([[0.0] * len(voi)] * sizeAlgebraic) states = array(states) voi = array(voi) algebraic[0] = states[0]+states[1]+states[2]+states[3]+states[4]+states[5]+states[6]+states[7]+states[8]+states[9] algebraic[1] = 1.00000-(states[0]+states[1]+states[2]+states[3]+states[4]+states[5]+states[6]+states[7]+states[8]+states[9]) algebraic[2] = 1.00000*exp((constants[0]/constants[1])*((1.00000-constants[1]*voi)-exp(-(constants[1]*voi)))) return algebraic 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)