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 = 4
sizeConstants = 16
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] = "a in component a (micromolar)"
legend_constants[0] = "k1 in component model_parameters (dimensionless)"
legend_constants[1] = "k3 in component model_parameters (dimensionless)"
legend_states[1] = "b in component b (micromolar)"
legend_states[2] = "c in component c (micromolar)"
legend_constants[2] = "K4 in component model_parameters (dimensionless)"
legend_constants[3] = "k5 in component model_parameters (dimensionless)"
legend_constants[4] = "K6 in component model_parameters (dimensionless)"
legend_constants[5] = "k7 in component model_parameters (dimensionless)"
legend_constants[6] = "k8 in component model_parameters (dimensionless)"
legend_constants[7] = "K9 in component model_parameters (dimensionless)"
legend_constants[8] = "k10 in component model_parameters (dimensionless)"
legend_states[3] = "d in component d (micromolar)"
legend_constants[9] = "K11 in component model_parameters (dimensionless)"
legend_constants[10] = "k12 in component model_parameters (dimensionless)"
legend_constants[11] = "k13 in component model_parameters (dimensionless)"
legend_constants[12] = "k14 in component model_parameters (dimensionless)"
legend_constants[13] = "K15 in component model_parameters (dimensionless)"
legend_constants[14] = "k16 in component model_parameters (dimensionless)"
legend_constants[15] = "K17 in component model_parameters (dimensionless)"
legend_rates[0] = "d/dt a in component a (micromolar)"
legend_rates[1] = "d/dt b in component b (micromolar)"
legend_rates[2] = "d/dt c in component c (micromolar)"
legend_rates[3] = "d/dt d in component d (micromolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.01
constants[0] = 1.5
constants[1] = 0.00001
states[1] = 0.01
states[2] = 0.01
constants[2] = 0.788
constants[3] = 1.45
constants[4] = 0.18
constants[5] = 5.82
constants[6] = 32.24
constants[7] = 29.09
constants[8] = 5
states[3] = 20
constants[9] = 2.67
constants[10] = 0.7
constants[11] = 0.12
constants[12] = 153
constants[13] = 0.16
constants[14] = 4.85
constants[15] = 0.05
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = (constants[0]-(constants[1]*states[0]*states[1])/(states[0]+constants[2]))-(constants[3]*states[0]*states[2])/(states[0]+constants[4])
rates[1] = constants[5]*states[0]-(constants[6]*states[1])/(states[1]+constants[7])
rates[2] = (((constants[8]*states[2]*states[1]*states[3])/(states[3]+constants[9])+constants[10]*states[1]+constants[11]*states[0])-(constants[12]*states[2])/(states[2]+constants[13]))-(constants[14]*states[2])/(states[2]+constants[15])
rates[3] = (-constants[8]*states[2]*states[1]*states[3])/(states[3]+constants[9])+(constants[14]*states[2])/(states[2]+constants[15])
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)
