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 = 3
sizeConstants = 9
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 (day)"
legend_states[0] = "G in component glucose_dynamics (mg_per_dl)"
legend_constants[0] = "R0 in component glucose_dynamics (mg_per_dl_per_day)"
legend_constants[1] = "SI in component glucose_dynamics (ml_per_microU_per_day)"
legend_constants[2] = "EG0 in component glucose_dynamics (per_day)"
legend_states[1] = "I in component insulin_dynamics (microU_per_ml)"
legend_constants[3] = "alpha in component insulin_dynamics (mg2_per_dl2)"
legend_constants[4] = "sigma in component insulin_dynamics (microU_per_ml_per_day)"
legend_constants[5] = "k in component insulin_dynamics (per_day)"
legend_states[2] = "beta in component beta_cell_dynamics (mg)"
legend_constants[6] = "d0 in component beta_cell_dynamics (per_day)"
legend_constants[7] = "r1 in component beta_cell_dynamics (dl_per_mg_per_day)"
legend_constants[8] = "r2 in component beta_cell_dynamics (dl2_per_mg2_per_day)"
legend_rates[0] = "d/dt G in component glucose_dynamics (mg_per_dl)"
legend_rates[1] = "d/dt I in component insulin_dynamics (microU_per_ml)"
legend_rates[2] = "d/dt beta in component beta_cell_dynamics (mg)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 600
constants[0] = 846
constants[1] = 0.72
constants[2] = 1.44
states[1] = 0
constants[3] = 2000
constants[4] = 43.2
constants[5] = 432
states[2] = 0
constants[6] = 0.06
constants[7] = 0.84e-3
constants[8] = 0.24e-5
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[0]-(constants[2]+constants[1]*states[1])*states[0]
rates[1] = ((states[2]/1.00000)*constants[4]*(power(states[0], 2.00000)))/(constants[3]+power(states[0], 2.00000))-constants[5]*states[1]
rates[2] = (constants[7]*states[0]+-constants[6]+-constants[8]*(power(states[0], 2.00000)))*states[2]
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)
