Generated Code
The following is python code generated by the CellML API from this CellML file. (Back to language selection)
The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 2
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[12] = "F16BP in component F16BP (millimolar)"
legend_states[0] = "G3P in component G3P (millimolar)"
legend_algebraic[0] = "V_Gpd_p in component V_Gpd_p (flux)"
legend_algebraic[1] = "V_Gpp_p in component V_Gpp_p (flux)"
legend_constants[13] = "DHAP in component DHAP (millimolar)"
legend_constants[14] = "ATP in component ATP (millimolar)"
legend_constants[15] = "ADP in component ADP (millimolar)"
legend_constants[16] = "NADH in component NADH (millimolar)"
legend_constants[17] = "NAD in component NAD (millimolar)"
legend_constants[18] = "Pi_ in component Pi (millimolar)"
legend_constants[0] = "K_F16BP in component V_Gpd_p (millimolar)"
legend_constants[1] = "K_ATP in component V_Gpd_p (millimolar)"
legend_constants[2] = "K_ADP in component V_Gpd_p (millimolar)"
legend_constants[3] = "K_NAD in component V_Gpd_p (millimolar)"
legend_constants[4] = "K_NADH in component V_Gpd_p (millimolar)"
legend_constants[5] = "K_G3P in component V_Gpd_p (millimolar)"
legend_constants[6] = "K_DHAP in component V_Gpd_p (millimolar)"
legend_constants[7] = "K_eq in component V_Gpd_p (dimensionless)"
legend_constants[8] = "Vf in component V_Gpd_p (flux)"
legend_constants[9] = "K_G3P in component V_Gpp_p (millimolar)"
legend_constants[10] = "K_Pi in component V_Gpp_p (millimolar)"
legend_constants[11] = "V in component V_Gpp_p (flux)"
legend_rates[0] = "d/dt G3P in component G3P (millimolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 24
constants[0] = 4.8
constants[1] = 0.73
constants[2] = 2
constants[3] = 0.93
constants[4] = 0.023
constants[5] = 1.2
constants[6] = 0.54
constants[7] = 1e4
constants[8] = 36
constants[9] = 3.5
constants[10] = 1
constants[11] = 18
constants[12] = 0.00000
constants[13] = 0.590000
constants[14] = 2.37000
constants[15] = 2.17000
constants[16] = 1.87000
constants[17] = 1.45000
constants[18] = 2.17000
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[0] = ((constants[8]/(constants[4]*constants[6]))*(constants[16]*constants[13]-(constants[17]*states[0])/constants[7]))/((1.00000+constants[12]/constants[0]+constants[14]/constants[1]+constants[15]/constants[2])*(1.00000+constants[16]/constants[4]+constants[17]/constants[3])*(1.00000+constants[13]/constants[6]+states[0]/constants[5]))
algebraic[1] = ((constants[11]*states[0])/constants[9])/((1.00000+states[0]/constants[9])*(1.00000+constants[18]/constants[10]))
rates[0] = -algebraic[1]+algebraic[0]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = ((constants[8]/(constants[4]*constants[6]))*(constants[16]*constants[13]-(constants[17]*states[0])/constants[7]))/((1.00000+constants[12]/constants[0]+constants[14]/constants[1]+constants[15]/constants[2])*(1.00000+constants[16]/constants[4]+constants[17]/constants[3])*(1.00000+constants[13]/constants[6]+states[0]/constants[5]))
algebraic[1] = ((constants[11]*states[0])/constants[9])/((1.00000+states[0]/constants[9])*(1.00000+constants[18]/constants[10]))
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)
