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 = 1
sizeConstants = 5
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 (second)"
legend_constants[0] = "a in component contraction (mNpermmsq)"
legend_constants[1] = "b in component contraction (pms)"
legend_constants[2] = "Po in component contraction (mNpermmsq)"
legend_constants[3] = "alpha in component contraction (mNpermmsq)"
legend_constants[4] = "L_se_o in component contraction (dimensionless)"
legend_algebraic[0] = "L in component contraction (dimensionless)"
legend_algebraic[3] = "v in component contraction (pms)"
legend_algebraic[1] = "L_se in component contraction (dimensionless)"
legend_states[0] = "L_ce in component contraction (dimensionless)"
legend_algebraic[2] = "P in component contraction (mNpermmsq)"
legend_rates[0] = "d/dt L_ce in component contraction (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 37.24
constants[1] = 0.325
constants[2] = 144.9
constants[3] = 1449.027
constants[4] = 0.3
states[0] = 0.7
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[0] = custom_piecewise([less_equal(voi , 1.00000), 1.00000 , greater(voi , 1.00000) & less(voi , 5.00000), 0.920000 , True, 0.900000])
algebraic[1] = algebraic[0]-states[0]
algebraic[2] = constants[3]*(algebraic[1]-constants[4])
algebraic[3] = (-constants[1]*(constants[2]-algebraic[2]))/(algebraic[2]+constants[0])
rates[0] = algebraic[3]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = custom_piecewise([less_equal(voi , 1.00000), 1.00000 , greater(voi , 1.00000) & less(voi , 5.00000), 0.920000 , True, 0.900000])
algebraic[1] = algebraic[0]-states[0]
algebraic[2] = constants[3]*(algebraic[1]-constants[4])
algebraic[3] = (-constants[1]*(constants[2]-algebraic[2]))/(algebraic[2]+constants[0])
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)
