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 = 9
sizeStates = 1
sizeConstants = 13
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] = "omega in component main (per_s)"
legend_constants[0] = "omega_ref in component main (per_s)"
legend_algebraic[0] = "logOmega in component main (dimensionless)"
legend_constants[1] = "E_1 in component main (J_per_C2)"
legend_constants[2] = "E_2 in component main (J_per_m2)"
legend_constants[3] = "R_1 in component main (Js_per_C2)"
legend_constants[4] = "R_2 in component main (Js_per_m2)"
legend_constants[5] = "L_1 in component main (Js2_per_C2)"
legend_constants[6] = "L_2 in component main (Js2_per_m2)"
legend_constants[7] = "Bl in component main (Js_per_C_m)"
legend_algebraic[1] = "x_1 in component main (J_per_m2)"
legend_algebraic[2] = "x_2 in component main (J2_per_m4)"
legend_constants[10] = "omega_3 in component main (per_s)"
legend_constants[11] = "logOmega_3 in component main (dimensionless)"
legend_algebraic[3] = "G_real in component main (Js_per_C2)"
legend_algebraic[4] = "G_imag in component main (Js_per_C2)"
legend_algebraic[5] = "amplitude in component main (Js_per_C2)"
legend_constants[8] = "amplitude_ref in component main (Js_per_C2)"
legend_algebraic[6] = "phase in component main (dimensionless)"
legend_constants[9] = "phase_ref in component main (dimensionless)"
legend_algebraic[7] = "phase_degrees in component main (dimensionless)"
legend_algebraic[8] = "logAmplitude in component main (dimensionless)"
legend_rates[0] = "d/dt omega in component main (per_s)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.1
constants[0] = 1
constants[1] = 0
constants[2] = 2000
constants[3] = 3.5
constants[4] = 0.4
constants[5] = 0.15
constants[6] = 0.018
constants[7] = 10
constants[8] = 1
constants[9] = 1
constants[10] = power(constants[2]/constants[6], 1.0/2)
constants[12] = 1.00000
constants[11] = log(constants[10]/constants[0], 10)
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[12]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = log(states[0]/constants[0], 10)
algebraic[1] = constants[2]-(power(states[0], 2.00000))*constants[6]
algebraic[2] = power(algebraic[1], 2.00000)+power(states[0]*constants[4], 2.00000)
algebraic[3] = constants[3]+(constants[4]*(power(states[0]*constants[7], 2.00000)))/algebraic[2]
algebraic[4] = states[0]*(constants[5]+((power(constants[7], 2.00000))*algebraic[1])/algebraic[2])
algebraic[5] = power(power(algebraic[3], 2.00000)+power(algebraic[4], 2.00000), 1.0/2)
algebraic[6] = arctan(algebraic[4]/algebraic[3])
algebraic[7] = (algebraic[6]*180.000)/ pi
algebraic[8] = log(algebraic[5]/constants[8], 10)
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)
