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 = 9
sizeStates = 2
sizeConstants = 13
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 (hour)"
legend_constants[0] = "Ado in component Ado (micromolar)"
legend_algebraic[0] = "Met in component Met (micromolar)"
legend_algebraic[1] = "Hcy in component Hcy (micromolar)"
legend_states[0] = "AdoHcy in component AdoHcy (micromolar)"
legend_constants[1] = "K_AHC in component K_AHC (micromolar)"
legend_states[1] = "AdoMet in component AdoMet (micromolar)"
legend_algebraic[6] = "V_MET in component V_MET (flux)"
legend_algebraic[7] = "V_GNMT in component V_GNMT (flux)"
legend_algebraic[2] = "V_MATI in component V_MATI (flux)"
legend_algebraic[4] = "V_MATIII in component V_MATIII (flux)"
legend_algebraic[8] = "V_D in component V_D (flux)"
legend_constants[2] = "V_MATImax in component V_MATI (flux)"
legend_constants[3] = "Km_MATI in component V_MATI (micromolar)"
legend_constants[4] = "Ki_MATI in component V_MATI (micromolar)"
legend_constants[5] = "V_MATIIImax in component V_MATIII (flux)"
legend_algebraic[3] = "Km1_MATIII in component V_MATIII (micromolar)"
legend_constants[6] = "Km2_MATIII in component V_MATIII (micromolar)"
legend_constants[7] = "V_METmax in component V_MET (flux)"
legend_algebraic[5] = "Km1_MET in component V_MET (micromolar)"
legend_constants[8] = "Km2_MET_A in component V_MET (dimensionless)"
legend_constants[9] = "V_GNMTmax in component V_GNMT (flux)"
legend_constants[10] = "Km_GNMT in component V_GNMT (micromolar)"
legend_constants[11] = "Ki_GNMT in component V_GNMT (micromolar)"
legend_constants[12] = "alpha_d in component V_D (first_order_rate_constant)"
legend_rates[1] = "d/dt AdoMet in component AdoMet (micromolar)"
legend_rates[0] = "d/dt AdoHcy in component AdoHcy (micromolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 1
states[0] = 3
constants[1] = 0.1
states[1] = 60
constants[2] = 561
constants[3] = 41
constants[4] = 50
constants[5] = 22870
constants[6] = 21.1
constants[7] = 4544
constants[8] = 10
constants[9] = 10600
constants[10] = 4500
constants[11] = 20
constants[12] = 1333
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[5] = 10.0000*(1.00000+states[0]/4.00000)
algebraic[6] = constants[7]/(1.00000+algebraic[5]/states[1]+constants[8]+(constants[8]*algebraic[5])/states[1])
algebraic[7] = ((constants[9]/(1.00000+power(constants[10]/states[1], 2.30000)))*1.00000)/(1.00000+states[0]/constants[11])
algebraic[0] = custom_piecewise([greater_equal(voi , 0.00000) & less(voi , 5.00000), 45.0000 , greater_equal(voi , 5.00000) & less(voi , 15.0000), 52.0000 , greater_equal(voi , 15.0000) & less(voi , 60.0000), 55.0000 , greater_equal(voi , 60.0000) & less(voi , 75.0000), 52.0000 , greater_equal(voi , 75.0000), 45.0000 , True, float('nan')])
algebraic[2] = constants[2]/(1.00000+(constants[3]/algebraic[0])*(1.00000+states[1]/constants[4]))
algebraic[3] = 20000.0/(1.00000+5.70000*(power(states[1]/(states[1]+600.000), 2.00000)))
algebraic[4] = constants[5]/(1.00000+(algebraic[3]*constants[6])/(power(algebraic[0], 2.00000)+algebraic[0]*constants[6]))
rates[1] = (algebraic[2]+algebraic[4])-(algebraic[6]+algebraic[7])
algebraic[1] = (states[0]*constants[1])/constants[0]
algebraic[8] = constants[12]*algebraic[1]
rates[0] = ((algebraic[6]+algebraic[7])-algebraic[8])/(1.00000+constants[1]/constants[0])
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[5] = 10.0000*(1.00000+states[0]/4.00000)
algebraic[6] = constants[7]/(1.00000+algebraic[5]/states[1]+constants[8]+(constants[8]*algebraic[5])/states[1])
algebraic[7] = ((constants[9]/(1.00000+power(constants[10]/states[1], 2.30000)))*1.00000)/(1.00000+states[0]/constants[11])
algebraic[0] = custom_piecewise([greater_equal(voi , 0.00000) & less(voi , 5.00000), 45.0000 , greater_equal(voi , 5.00000) & less(voi , 15.0000), 52.0000 , greater_equal(voi , 15.0000) & less(voi , 60.0000), 55.0000 , greater_equal(voi , 60.0000) & less(voi , 75.0000), 52.0000 , greater_equal(voi , 75.0000), 45.0000 , True, float('nan')])
algebraic[2] = constants[2]/(1.00000+(constants[3]/algebraic[0])*(1.00000+states[1]/constants[4]))
algebraic[3] = 20000.0/(1.00000+5.70000*(power(states[1]/(states[1]+600.000), 2.00000)))
algebraic[4] = constants[5]/(1.00000+(algebraic[3]*constants[6])/(power(algebraic[0], 2.00000)+algebraic[0]*constants[6]))
algebraic[1] = (states[0]*constants[1])/constants[0]
algebraic[8] = constants[12]*algebraic[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)
