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 = 0
sizeStates = 6
sizeConstants = 8
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] = "Ca in component Ca (micromolar)"
legend_constants[0] = "k1 in component reaction_constants (second_order_rate_constant)"
legend_constants[1] = "k1_ in component reaction_constants (first_order_rate_constant)"
legend_constants[2] = "k2 in component reaction_constants (second_order_rate_constant)"
legend_constants[3] = "k2_ in component reaction_constants (first_order_rate_constant)"
legend_states[1] = "Fluo in component Fluo (micromolar)"
legend_states[2] = "CaFluo in component CaFluo (micromolar)"
legend_states[3] = "CaPrFluo in component CaPrFluo (micromolar)"
legend_states[4] = "PrFluo in component PrFluo (micromolar)"
legend_constants[4] = "k3 in component reaction_constants (second_order_rate_constant)"
legend_constants[5] = "k3_ in component reaction_constants (first_order_rate_constant)"
legend_states[5] = "Pr in component Pr (micromolar)"
legend_constants[6] = "k4 in component reaction_constants (second_order_rate_constant)"
legend_constants[7] = "k4_ in component reaction_constants (first_order_rate_constant)"
legend_rates[0] = "d/dt Ca in component Ca (micromolar)"
legend_rates[1] = "d/dt Fluo in component Fluo (micromolar)"
legend_rates[5] = "d/dt Pr in component Pr (micromolar)"
legend_rates[4] = "d/dt PrFluo in component PrFluo (micromolar)"
legend_rates[2] = "d/dt CaFluo in component CaFluo (micromolar)"
legend_rates[3] = "d/dt CaPrFluo in component CaPrFluo (micromolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.05
constants[0] = 2.676E14
constants[1] = 137.0
constants[2] = 1.72E13
constants[3] = 32.9
states[1] = 11.88
states[2] = 0.01
states[3] = 0.01
states[4] = 88.12
constants[4] = 0.1149E14
constants[5] = 4216.0
states[5] = 3000.0
constants[6] = 0.1149E14
constants[7] = 15777.0
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = (constants[1]*states[2]+constants[3]*states[3])-(constants[0]*states[0]*states[1]+constants[2]*states[0]*states[4])
rates[1] = (constants[5]*states[4]+constants[1]*states[2])-(constants[4]*states[5]*states[1]+constants[0]*states[0]*states[1])
rates[5] = (constants[7]*states[3]+constants[5]*states[4])-(constants[6]*states[5]*states[2]+constants[4]*states[5]*states[1])
rates[4] = (constants[4]*states[5]*states[1]+constants[3]*states[3])-(constants[5]*states[4]+constants[2]*states[0]*states[4])
rates[2] = (constants[0]*states[0]*states[1]+constants[7]*states[3])-(constants[1]*states[2]+constants[6]*states[5]*states[2])
rates[3] = (constants[6]*states[5]*states[2]+constants[2]*states[0]*states[4])-(constants[7]*states[3]+constants[3]*states[3])
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
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)
