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 = 3
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] = "R in component R (ng_ml)"
legend_constants[0] = "h in component R (first_order_rate_constant)"
legend_constants[1] = "c in component R (ng_ml_hr)"
legend_constants[2] = "b1 in component R (first_order_rate_constant)"
legend_algebraic[1] = "H in component R (dimensionless)"
legend_algebraic[0] = "x in component R (ng_ml)"
legend_states[1] = "T in component T (ng_ml)"
legend_states[2] = "L in component L (ng_ml)"
legend_constants[3] = "g1 in component L (first_order_rate_constant)"
legend_constants[4] = "b2 in component L (first_order_rate_constant)"
legend_constants[5] = "g2 in component T (first_order_rate_constant)"
legend_constants[6] = "b3 in component T (first_order_rate_constant)"
legend_rates[0] = "d/dt R in component R (ng_ml)"
legend_rates[2] = "d/dt L in component L (ng_ml)"
legend_rates[1] = "d/dt T in component T (ng_ml)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.5
constants[0] = 12
constants[1] = 100
constants[2] = 1.29
states[1] = 15
states[2] = 22
constants[3] = 10
constants[4] = 0.97
constants[5] = 0.7
constants[6] = 1.39
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[2] = constants[3]*states[0]-constants[4]*states[2]
rates[1] = constants[5]*states[2]-constants[6]*states[1]
algebraic[0] = states[1]-constants[1]/constants[0]
algebraic[1] = custom_piecewise([greater(algebraic[0] , 0.00000), 1.00000 , True, 0.00000])
rates[0] = (constants[1]-constants[0]*states[1])*(1.00000-algebraic[1])-constants[2]*states[0]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = states[1]-constants[1]/constants[0]
algebraic[1] = custom_piecewise([greater(algebraic[0] , 0.00000), 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)
