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 = 4
sizeStates = 2
sizeConstants = 3
from math import *
from numpy import *
def createLegends():
legend_states = [""] * sizeStates
legend_rates = [""] * sizeStates
legend_algebraic = [""] * sizeAlgebraic
legend_voi = ""
legend_constants = [""] * sizeConstants
legend_voi = "t in component main (second)"
legend_states[0] = "q_1 in component main (metre)"
legend_states[1] = "v_1 in component main (m_per_s)"
legend_algebraic[3] = "a_1 in component main (m_per_s2)"
legend_algebraic[0] = "u_C in component main (J_per_m)"
legend_algebraic[1] = "u_R in component main (J_per_m)"
legend_algebraic[2] = "u_L in component main (J_per_m)"
legend_constants[0] = "C in component main (m2_per_J)"
legend_constants[1] = "R in component main (Js_per_m2)"
legend_constants[2] = "L in component main (Js2_per_m2)"
legend_rates[0] = "d/dt q_1 in component main (metre)"
legend_rates[1] = "d/dt v_1 in component main (m_per_s)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 1
states[1] = 0
constants[0] = 20
constants[1] = 0.1
constants[2] = 10
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = states[1]
algebraic[0] = states[0]/constants[0]
algebraic[1] = states[1]*constants[1]
rootfind_0(voi, constants, rates, states, algebraic)
rootfind_1(voi, constants, rates, states, algebraic)
rates[1] = algebraic[3]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = states[0]/constants[0]
algebraic[1] = states[1]*constants[1]
return algebraic
initialGuess0 = None
def rootfind_0(voi, constants, states, algebraic):
"""Calculate value of algebraic variable for DAE"""
from scipy.optimize import fsolve
global initialGuess0
if initialGuess0 is None: initialGuess0 = 0.1
if not iterable(voi):
algebraic[2] = fsolve(residualSN_0, initialGuess0, args=(algebraic, voi, constants, rates, states), xtol=1E-6)
initialGuess0 = algebraic[2]
else:
for (i,t) in enumerate(voi):
algebraic[2][i] = fsolve(residualSN_0, initialGuess0, args=(algebraic[:,i], voi[i], constants, rates, states[:,i]), xtol=1E-6)
initialGuess0 = algebraic[2][i]
def residualSN_0(algebraicCandidate, algebraic, voi, constants, rates, states):
algebraic[2] = algebraicCandidate
return (algebraic[0]) - (-algebraic[1]-algebraic[2])
initialGuess1 = None
def rootfind_1(voi, constants, states, algebraic):
"""Calculate value of algebraic variable for DAE"""
from scipy.optimize import fsolve
global initialGuess1
if initialGuess1 is None: initialGuess1 = 0.1
if not iterable(voi):
algebraic[3] = fsolve(residualSN_1, initialGuess1, args=(algebraic, voi, constants, rates, states), xtol=1E-6)
initialGuess1 = algebraic[3]
else:
for (i,t) in enumerate(voi):
algebraic[3][i] = fsolve(residualSN_1, initialGuess1, args=(algebraic[:,i], voi[i], constants, rates, states[:,i]), xtol=1E-6)
initialGuess1 = algebraic[3][i]
def residualSN_1(algebraicCandidate, algebraic, voi, constants, rates, states):
algebraic[3] = algebraicCandidate
return (algebraic[2]) - (algebraic[3]*constants[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)
