Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 4
sizeStates = 3
sizeConstants = 15
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 (hour)"
legend_algebraic[0] = "Qv in component v (per_second)"
legend_states[0] = "Vv in component v (mV)"
legend_constants[0] = "tau_v in component v (second)"
legend_constants[1] = "v_vm in component v (mV_second)"
legend_algebraic[1] = "Qm in component m (per_second)"
legend_constants[2] = "Qmax in component model_parameters (per_second)"
legend_algebraic[3] = "D in component D (mV)"
legend_constants[3] = "theta in component model_parameters (mV)"
legend_constants[4] = "sigma in component model_parameters (mV)"
legend_states[1] = "Vm in component m (mV)"
legend_constants[5] = "tau_m in component m (second)"
legend_constants[6] = "v_mv in component m (mV_second)"
legend_constants[7] = "A in component m (mV)"
legend_states[2] = "H in component H (nM)"
legend_constants[8] = "chi in component H (hour)"
legend_constants[9] = "mu in component H (nM_second)"
legend_algebraic[2] = "C in component D (dimensionless)"
legend_constants[10] = "c0 in component D (dimensionless)"
legend_constants[14] = "omega in component D (per_hour)"
legend_constants[11] = "alpha in component D (hour)"
legend_constants[12] = "v_vc in component D (mV)"
legend_constants[13] = "v_vh in component D (mV_per_nM)"
legend_rates[0] = "d/dt Vv in component v (mV)"
legend_rates[1] = "d/dt Vm in component m (mV)"
legend_rates[2] = "d/dt H in component H (nM)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = -6.0
constants[0] = 10.0
constants[1] = -1.9
constants[2] = 100.0
constants[3] = 10.0
constants[4] = 3.0
states[1] = 0.0
constants[5] = 10.0
constants[6] = -1.9
constants[7] = 1.0
states[2] = 15.0
constants[8] = 11.0
constants[9] = 3.6
constants[10] = 1.0
constants[11] = 16.0
constants[12] = -3.2
constants[13] = 0.19
constants[14] = (2.00000* pi)/24.0000
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
algebraic[0] = constants[2]/(1.00000+exp(-(states[0]-constants[3])/constants[4]))
rates[1] = ((constants[7]+constants[6]*algebraic[0])-states[1])/(constants[5]/3600.00)
algebraic[1] = constants[2]/(1.00000+exp(-(states[1]-constants[3])/constants[4]))
rates[2] = (constants[9]*algebraic[1]-states[2])/constants[8]
algebraic[2] = constants[10]+cos(constants[14]*(voi-constants[11]))
algebraic[3] = constants[12]*algebraic[2]+constants[13]*states[2]
rates[0] = ((constants[1]*algebraic[1]+algebraic[3])-states[0])/(constants[0]/3600.00)
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = constants[2]/(1.00000+exp(-(states[0]-constants[3])/constants[4]))
algebraic[1] = constants[2]/(1.00000+exp(-(states[1]-constants[3])/constants[4]))
algebraic[2] = constants[10]+cos(constants[14]*(voi-constants[11]))
algebraic[3] = constants[12]*algebraic[2]+constants[13]*states[2]
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)
