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 = 3
sizeStates = 3
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 enviroment (second)"
legend_states[0] = "P in component P (micromolar)"
legend_constants[0] = "V_p in component P (per_second)"
legend_constants[1] = "k_p in component P (micromolar)"
legend_constants[2] = "IPR_3_flux in component P (flux)"
legend_states[1] = "c in component c (micromolar)"
legend_algebraic[2] = "J_flux in component J_flux (flux)"
legend_algebraic[0] = "J_pump in component J_pump (flux)"
legend_constants[12] = "J_leak in component J_leak (flux)"
legend_constants[3] = "k_flux in component J_flux (micromolar_per_second)"
legend_algebraic[1] = "mu in component mu (dimensionless)"
legend_states[2] = "h in component h (dimensionless)"
legend_constants[4] = "b in component J_flux (dimensionless)"
legend_constants[5] = "k_1 in component J_flux (micromolar)"
legend_constants[6] = "gamma in component J_pump (micromolar_per_second)"
legend_constants[7] = "k_gamma in component J_pump (micromolar)"
legend_constants[8] = "beta in component J_leak (flux)"
legend_constants[9] = "k_mu in component mu (micromolar)"
legend_constants[10] = "k_2 in component h (micromolar)"
legend_constants[11] = "tau_h in component h (second)"
legend_rates[0] = "d/dt P in component P (micromolar)"
legend_rates[1] = "d/dt c in component c (micromolar)"
legend_rates[2] = "d/dt h in component h (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0
constants[0] = 0.08
constants[1] = 1
constants[2] = 0.72
states[1] = 0.3
constants[3] = 3
states[2] = 1
constants[4] = 0.11
constants[5] = 0.7
constants[6] = 1
constants[7] = 0.27
constants[8] = 0.15
constants[9] = 0.01
constants[10] = 0.7
constants[11] = 0.2
constants[12] = constants[8]
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = custom_piecewise([less_equal(voi , 15.0000), constants[2]-(constants[0]*states[0]*constants[1])/(constants[1]+states[0]) , True, (-constants[0]*states[0]*constants[1])/(constants[1]+states[0])])
rates[2] = ((power(constants[10], 2.00000))/(power(constants[10], 2.00000)+power(states[1], 2.00000))-states[2])/constants[11]
algebraic[1] = (power(states[0], 3.00000))/(power(constants[9], 3.00000)+power(states[0], 3.00000))
algebraic[2] = constants[3]*algebraic[1]*states[2]*(constants[4]+((1.00000-constants[4])*states[1])/(constants[5]+states[1]))
algebraic[0] = (constants[6]*(power(states[1], 2.00000)))/(power(constants[7], 2.00000)+power(states[1], 2.00000))
rates[1] = (algebraic[2]-algebraic[0])+constants[12]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[1] = (power(states[0], 3.00000))/(power(constants[9], 3.00000)+power(states[0], 3.00000))
algebraic[2] = constants[3]*algebraic[1]*states[2]*(constants[4]+((1.00000-constants[4])*states[1])/(constants[5]+states[1]))
algebraic[0] = (constants[6]*(power(states[1], 2.00000)))/(power(constants[7], 2.00000)+power(states[1], 2.00000))
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)
