Generated Code
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# Size of variable arrays: sizeAlgebraic = 0 sizeStates = 1 sizeConstants = 19 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 (minute)" legend_constants[0] = "ADHC in component thirst_drinking_and_salt_appetite (dimensionless)" legend_constants[1] = "ANM in component thirst_drinking_and_salt_appetite (dimensionless)" legend_constants[2] = "POT in component thirst_drinking_and_salt_appetite (mmHg)" legend_constants[12] = "STH in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)" legend_constants[3] = "ANMSLT in component parameter_values (dimensionless)" legend_constants[4] = "Z10 in component parameter_values (mmHg)" legend_constants[5] = "Z11 in component parameter_values (per_mmHg2)" legend_constants[10] = "ANMSML in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)" legend_constants[11] = "STH1 in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)" legend_constants[13] = "AHCM in component effect_of_antidiuretic_hormone_on_thirst (dimensionless)" legend_constants[6] = "AHTHM in component parameter_values (dimensionless)" legend_constants[14] = "ANMTH in component effect_of_angiotensin_on_thirst (dimensionless)" legend_constants[7] = "ANMTM in component parameter_values (dimensionless)" legend_states[0] = "TVD in component rate_of_fluid_intake (L_per_minute)" legend_constants[8] = "DR in component parameter_values (L_per_minute)" legend_constants[9] = "TVDDL in component parameter_values (minute)" legend_constants[16] = "AHTH in component rate_of_fluid_intake (dimensionless)" legend_constants[15] = "AHTH1 in component rate_of_fluid_intake (dimensionless)" legend_constants[18] = "TVZ in component rate_of_fluid_intake (L_per_minute)" legend_constants[17] = "TVZ1 in component rate_of_fluid_intake (L_per_minute)" legend_rates[0] = "d/dt TVD in component rate_of_fluid_intake (L_per_minute)" return (legend_states, legend_algebraic, legend_voi, legend_constants) def initConsts(): constants = [0.0] * sizeConstants; states = [0.0] * sizeStates; constants[0] = 1.0 constants[1] = 0.987545 constants[2] = 35.1148 constants[3] = 2 constants[4] = 45 constants[5] = 0.01 constants[6] = 2 constants[7] = 1.5 states[0] = 0.000980838 constants[8] = 0 constants[9] = 30 constants[10] = (constants[1]-1.00000)*constants[3]+1.00000 constants[11] = (power(constants[4]-constants[2], 2.00000))*constants[5]*constants[10] constants[12] = custom_piecewise([less(constants[11] , 0.800000), 0.800000 , greater(constants[11] , 8.00000), 8.00000 , True, constants[11]]) constants[13] = (constants[0]-1.00000)*constants[6]+1.00000 constants[14] = (constants[1]-1.00000)*constants[7]*0.00100000 constants[15] = constants[13]*constants[12]*0.00100000 constants[16] = custom_piecewise([less(constants[15] , 0.00000), 0.00000 , True, constants[15]]) constants[17] = (constants[14]+constants[16])*1.00000 constants[18] = custom_piecewise([less(constants[17] , 0.00000), 0.00000 , True, constants[17]]) return (states, constants) def computeRates(voi, states, constants): rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic rates[0] = ((constants[18]+constants[8])-states[0])/constants[9] return(rates) def computeAlgebraic(constants, states, voi): algebraic = array([[0.0] * len(voi)] * sizeAlgebraic) states = array(states) voi = array(voi) 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)