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 = 2
sizeConstants = 12
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 (dimensionless)"
legend_constants[7] = "alpha in component reaction_constants (dimensionless)"
legend_constants[8] = "beta in component reaction_constants (dimensionless)"
legend_algebraic[1] = "KP in component reaction_constants (dimensionless)"
legend_states[1] = "g in component g (dimensionless)"
legend_constants[9] = "gamma in component reaction_constants (dimensionless)"
legend_constants[10] = "L in component reaction_constants (dimensionless)"
legend_constants[0] = "k2 in component reaction_constants (dimensionless)"
legend_constants[1] = "k3 in component reaction_constants (dimensionless)"
legend_constants[2] = "k6 in component reaction_constants (dimensionless)"
legend_constants[3] = "k7 in component reaction_constants (dimensionless)"
legend_constants[4] = "k0 in component reaction_constants (dimensionless)"
legend_constants[5] = "k4 in component reaction_constants (dimensionless)"
legend_constants[6] = "km in component reaction_constants (dimensionless)"
legend_constants[11] = "K in component reaction_constants (dimensionless)"
legend_algebraic[0] = "P in component reaction_constants (dimensionless)"
legend_rates[0] = "d/dt a in component a (dimensionless)"
legend_rates[1] = "d/dt g in component g (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 7.68E-8
states[1] = 3.43E-8
constants[0] = 6.0E-4
constants[1] = 0.0000048
constants[2] = 0.000891
constants[3] = 0.006831
constants[4] = 8.7831E-11
constants[5] = 2.1E12
constants[6] = 6.9001E-14
constants[7] = constants[1]/constants[0]
constants[8] = constants[2]/constants[0]
constants[9] = constants[3]/constants[0]
constants[10] = power(((power(constants[6], 2.00000))*constants[5])/(power(constants[0], 3.00000)), 0.500000)
constants[11] = power(((power(constants[4], 2.00000))*constants[5])/(power(constants[0], 3.00000)), 0.500000)
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[1] = ((1.00000-constants[7])*states[0]+states[0]*(power(states[1], 2.00000)))-(constants[10]+constants[9]*states[1])
algebraic[0] = 0.735000+0.156300*sin((2.00000*3.14159*voi)/(24.0000*3600.00))+0.312700*fabs(sin((3.14159*voi)/(24.0000*3600.00)))
algebraic[1] = constants[11]*algebraic[0]
rates[0] = algebraic[1]-((1.00000+constants[7]+constants[8])*states[0]+states[0]*(power(states[1], 2.00000)))
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = 0.735000+0.156300*sin((2.00000*3.14159*voi)/(24.0000*3600.00))+0.312700*fabs(sin((3.14159*voi)/(24.0000*3600.00)))
algebraic[1] = constants[11]*algebraic[0]
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)
