Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 18
sizeStates = 4
sizeConstants = 14
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 (second)"
legend_states[0] = "HCO3_int in component concentrations (mM)"
legend_states[1] = "HCO3_ext in component concentrations (mM)"
legend_states[2] = "Cl_int in component concentrations (mM)"
legend_states[3] = "Cl_ext in component concentrations (mM)"
legend_algebraic[12] = "J_AE1_HCO3 in component AE1 (mM_per_s)"
legend_algebraic[17] = "J_AE1_Cl in component AE1 (mM_per_s)"
legend_algebraic[13] = "J_HCO3_influx in component AE1 (mM_per_s)"
legend_algebraic[14] = "J_Cl_influx in component AE1 (mM_per_s)"
legend_constants[0] = "K_HCO3_ext in component AE1 (mM)"
legend_constants[1] = "K_HCO3_int in component AE1 (mM)"
legend_constants[2] = "K_Cl_ext in component AE1 (mM)"
legend_constants[3] = "K_Cl_int in component AE1 (mM)"
legend_constants[4] = "P_HCO3_ext in component AE1 (per_s)"
legend_constants[5] = "P_HCO3_int in component AE1 (per_s)"
legend_constants[6] = "P_Cl_ext in component AE1 (per_s)"
legend_constants[7] = "P_Cl_int in component AE1 (per_s)"
legend_algebraic[1] = "beta_ext in component AE1 (dimensionless)"
legend_algebraic[8] = "beta_int in component AE1 (dimensionless)"
legend_algebraic[9] = "gamma_ext in component AE1 (dimensionless)"
legend_algebraic[10] = "gamma_int in component AE1 (dimensionless)"
legend_algebraic[11] = "sigma in component AE1 (per_s)"
legend_constants[8] = "x_Tmax in component AE1 (mM)"
legend_constants[9] = "K_I in component AE1 (mM)"
legend_algebraic[0] = "x_T in component AE1 (mM)"
legend_algebraic[15] = "x_ext in component AE1 (mM)"
legend_algebraic[16] = "x_int in component AE1 (mM)"
legend_algebraic[2] = "Jo_bm in component AE1 (mM_per_s)"
legend_algebraic[3] = "Ji_bm in component AE1 (mM_per_s)"
legend_algebraic[4] = "Js_bm in component AE1 (mM_per_s)"
legend_algebraic[5] = "Jo_cm in component AE1 (mM_per_s)"
legend_algebraic[6] = "Ji_cm in component AE1 (mM_per_s)"
legend_algebraic[7] = "Js_cm in component AE1 (mM_per_s)"
legend_rates[0] = "d/dt HCO3_int in component concentrations (mM)"
legend_rates[1] = "d/dt HCO3_ext in component concentrations (mM)"
legend_rates[2] = "d/dt Cl_int in component concentrations (mM)"
legend_rates[3] = "d/dt Cl_ext in component concentrations (mM)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 1.0
states[1] = 26.0
states[2] = 29.0
states[3] = 114.0
constants[0] = 198
constants[1] = 198
constants[2] = 50
constants[3] = 50
constants[4] = 1247
constants[5] = 135
constants[6] = 562
constants[7] = 61
constants[8] = 1
constants[9] = 172
constants[10] = 1.00000
constants[11] = 0.00000
constants[12] = 0.00000
constants[13] = 0.00000
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[10]
rates[1] = constants[11]
rates[2] = constants[12]
rates[3] = constants[13]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = constants[8]/(1.00000+states[0]/constants[9])
algebraic[1] = states[1]/constants[0]
algebraic[2] = power((1.00000/algebraic[0])*(1.00000/constants[4]+1.00000/constants[5]+constants[1]/(constants[5]*states[0])), -1.00000)
algebraic[3] = power((1.00000/algebraic[0])*(1.00000/constants[4]+1.00000/constants[5]+constants[0]/(constants[4]*states[1])), -1.00000)
algebraic[4] = power((1.00000/algebraic[0])*(1.00000/constants[4]+1.00000/constants[5]), -1.00000)
algebraic[5] = power((1.00000/algebraic[0])*(1.00000/constants[6]+1.00000/constants[7]+constants[3]/(constants[7]*states[2])), -1.00000)
algebraic[6] = power((1.00000/algebraic[0])*(1.00000/constants[6]+1.00000/constants[7]+constants[2]/(constants[6]*states[3])), -1.00000)
algebraic[7] = power((1.00000/algebraic[0])*(1.00000/constants[6]+1.00000/constants[7]), -1.00000)
algebraic[8] = states[0]/constants[1]
algebraic[9] = states[3]/constants[2]
algebraic[10] = states[2]/constants[3]
algebraic[11] = (1.00000+algebraic[1]+algebraic[9])*(constants[5]*algebraic[8]+constants[7]*algebraic[10])+(1.00000+algebraic[8]+algebraic[10])*(constants[4]*algebraic[1]+constants[6]*algebraic[9])
algebraic[12] = (algebraic[0]/algebraic[11])*(constants[5]*algebraic[8]*constants[6]*algebraic[9]-constants[4]*algebraic[1]*constants[7]*algebraic[10])
algebraic[13] = (algebraic[0]/algebraic[11])*constants[4]*algebraic[1]*(constants[5]*algebraic[8]+constants[7]*algebraic[10])
algebraic[14] = (algebraic[0]/algebraic[11])*constants[6]*algebraic[9]*(constants[5]*algebraic[8]+constants[7]*algebraic[10])
algebraic[15] = (algebraic[0]*(constants[5]*algebraic[8]+constants[7]*algebraic[10]))/algebraic[11]
algebraic[16] = (algebraic[0]*(constants[4]*algebraic[1]+constants[6]*algebraic[9]))/algebraic[11]
algebraic[17] = -algebraic[12]
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)
