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 = 10
sizeStates = 4
sizeConstants = 8
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 (millisecond)"
legend_states[0] = "V in component membrane (millivolt)"
legend_constants[0] = "E_R in component membrane (millivolt)"
legend_constants[1] = "Cm in component membrane (microF_per_cm2)"
legend_algebraic[4] = "i_Na in component sodium_channel (microA_per_cm2)"
legend_algebraic[8] = "i_K in component potassium_channel (microA_per_cm2)"
legend_algebraic[9] = "i_L in component leakage_current (microA_per_cm2)"
legend_algebraic[0] = "i_Stim in component membrane (microA_per_cm2)"
legend_constants[2] = "g_Na in component sodium_channel (milliS_per_cm2)"
legend_constants[5] = "E_Na in component sodium_channel (millivolt)"
legend_states[1] = "m in component sodium_channel_m_gate (dimensionless)"
legend_states[2] = "h in component sodium_channel_h_gate (dimensionless)"
legend_algebraic[1] = "alpha_m in component sodium_channel_m_gate (per_millisecond)"
legend_algebraic[5] = "beta_m in component sodium_channel_m_gate (per_millisecond)"
legend_algebraic[2] = "alpha_h in component sodium_channel_h_gate (per_millisecond)"
legend_algebraic[6] = "beta_h in component sodium_channel_h_gate (per_millisecond)"
legend_constants[3] = "g_K in component potassium_channel (milliS_per_cm2)"
legend_constants[6] = "E_K in component potassium_channel (millivolt)"
legend_states[3] = "n in component potassium_channel_n_gate (dimensionless)"
legend_algebraic[3] = "alpha_n in component potassium_channel_n_gate (per_millisecond)"
legend_algebraic[7] = "beta_n in component potassium_channel_n_gate (per_millisecond)"
legend_constants[4] = "g_L in component leakage_current (milliS_per_cm2)"
legend_constants[7] = "E_L in component leakage_current (millivolt)"
legend_rates[0] = "d/dt V in component membrane (millivolt)"
legend_rates[1] = "d/dt m in component sodium_channel_m_gate (dimensionless)"
legend_rates[2] = "d/dt h in component sodium_channel_h_gate (dimensionless)"
legend_rates[3] = "d/dt n in component potassium_channel_n_gate (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = -75
constants[0] = -75
constants[1] = 1
constants[2] = 120
states[1] = 0.05
states[2] = 0.6
constants[3] = 36
states[3] = 0.325
constants[4] = 0.3
constants[5] = constants[0]+115.000
constants[6] = constants[0]-12.0000
constants[7] = constants[0]+10.6130
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[1] = (-0.100000*(states[0]+50.0000))/(exp(-(states[0]+50.0000)/10.0000)-1.00000)
algebraic[5] = 4.00000*exp(-(states[0]+75.0000)/18.0000)
rates[1] = algebraic[1]*(1.00000-states[1])-algebraic[5]*states[1]
algebraic[2] = 0.0700000*exp(-(states[0]+75.0000)/20.0000)
algebraic[6] = 1.00000/(exp(-(states[0]+45.0000)/10.0000)+1.00000)
rates[2] = algebraic[2]*(1.00000-states[2])-algebraic[6]*states[2]
algebraic[3] = (-0.0100000*(states[0]+65.0000))/(exp(-(states[0]+65.0000)/10.0000)-1.00000)
algebraic[7] = 0.125000*exp((states[0]+75.0000)/80.0000)
rates[3] = algebraic[3]*(1.00000-states[3])-algebraic[7]*states[3]
algebraic[4] = constants[2]*(power(states[1], 3.00000))*states[2]*(states[0]-constants[5])
algebraic[8] = constants[3]*(power(states[3], 4.00000))*(states[0]-constants[6])
algebraic[9] = constants[4]*(states[0]-constants[7])
algebraic[0] = custom_piecewise([greater_equal(voi , 10.0000) & less_equal(voi , 10.5000), 20.0000 , True, 0.00000])
rates[0] = -(-algebraic[0]+algebraic[4]+algebraic[8]+algebraic[9])/constants[1]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[1] = (-0.100000*(states[0]+50.0000))/(exp(-(states[0]+50.0000)/10.0000)-1.00000)
algebraic[5] = 4.00000*exp(-(states[0]+75.0000)/18.0000)
algebraic[2] = 0.0700000*exp(-(states[0]+75.0000)/20.0000)
algebraic[6] = 1.00000/(exp(-(states[0]+45.0000)/10.0000)+1.00000)
algebraic[3] = (-0.0100000*(states[0]+65.0000))/(exp(-(states[0]+65.0000)/10.0000)-1.00000)
algebraic[7] = 0.125000*exp((states[0]+75.0000)/80.0000)
algebraic[4] = constants[2]*(power(states[1], 3.00000))*states[2]*(states[0]-constants[5])
algebraic[8] = constants[3]*(power(states[3], 4.00000))*(states[0]-constants[6])
algebraic[9] = constants[4]*(states[0]-constants[7])
algebraic[0] = custom_piecewise([greater_equal(voi , 10.0000) & less_equal(voi , 10.5000), 20.0000 , 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)
