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 = 1
sizeStates = 4
sizeConstants = 7
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_states[0] = "c in component c (dimensionless)"
legend_algebraic[0] = "f in component c (dimensionless)"
legend_constants[0] = "kcd in component reaction_constants (first_order_rate_constant)"
legend_constants[1] = "ki1 in component reaction_constants (dimensionless)"
legend_states[1] = "o in component o (dimensionless)"
legend_states[2] = "a in component a (dimensionless)"
legend_constants[2] = "kad in component reaction_constants (first_order_rate_constant)"
legend_constants[3] = "ki2 in component reaction_constants (first_order_rate_constant)"
legend_states[3] = "r in component r (dimensionless)"
legend_constants[4] = "kcr in component reaction_constants (first_order_rate_constant)"
legend_constants[5] = "krd in component reaction_constants (first_order_rate_constant)"
legend_constants[6] = "k in component reaction_constants (dimensionless)"
legend_rates[0] = "d/dt c in component c (dimensionless)"
legend_rates[2] = "d/dt a in component a (dimensionless)"
legend_rates[3] = "d/dt r in component r (dimensionless)"
legend_rates[1] = "d/dt o in component o (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.6
constants[0] = 1.0
constants[1] = 0.1
states[1] = 0.055
states[2] = 0.055
constants[2] = 10.0
constants[3] = 0.1
states[3] = 0.01
constants[4] = 0.05
constants[5] = 0.9
constants[6] = 0.001
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[2] = states[0]/(1.00000+(states[1]*states[3])/constants[3])-constants[2]*states[2]
rates[3] = ((power(states[1]*states[3], 2.00000))/(1.00000*(constants[6]+power(states[1]*states[3], 2.00000)))+constants[4])-constants[5]*states[3]
rates[1] = 1.00000*(states[2]-states[1])
algebraic[0] = custom_piecewise([greater(voi , 0.00000) & less(voi , 1.00000) | greater(voi , 4.00000) & less(voi , 5.00000) | greater(voi , 8.00000) & less(voi , 9.00000) | greater(voi , 12.0000) & less(voi , 13.0000) | greater(voi , 16.0000) & less(voi , 17.0000), 1.00000 , True, 0.00000])
rates[0] = 1.00000*((1.00000+algebraic[0])/(1.00000+states[1]/constants[1]))-constants[0]*states[0]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = custom_piecewise([greater(voi , 0.00000) & less(voi , 1.00000) | greater(voi , 4.00000) & less(voi , 5.00000) | greater(voi , 8.00000) & less(voi , 9.00000) | greater(voi , 12.0000) & less(voi , 13.0000) | greater(voi , 16.0000) & less(voi , 17.0000), 1.00000 , True, 0.00000])
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)
