Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 2
sizeStates = 3
sizeConstants = 18
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 (min)"
legend_states[0] = "Z in component Ca (uM)"
legend_states[1] = "Y in component Ca (uM)"
legend_constants[17] = "V_in in component V_in (uM_per_min)"
legend_algebraic[0] = "V_2 in component V_2 (uM_per_min)"
legend_algebraic[1] = "V_3 in component V_3 (uM_per_min)"
legend_constants[0] = "K_f in component Ca (per_min)"
legend_constants[1] = "K in component Ca (per_min)"
legend_constants[2] = "beta in component Ca_flux (dimensionless)"
legend_constants[3] = "v_0 in component V_in (uM_per_min)"
legend_constants[4] = "v_1 in component V_in (uM_per_min)"
legend_constants[5] = "V_M2 in component V_2 (uM_per_min)"
legend_constants[6] = "K_2 in component V_2 (uM)"
legend_states[2] = "A in component A (uM)"
legend_constants[7] = "K_y in component V_3 (uM)"
legend_constants[8] = "K_z in component V_3 (uM)"
legend_constants[9] = "K_a in component V_3 (uM)"
legend_constants[10] = "V_M3 in component V_3 (uM_per_min)"
legend_constants[11] = "upsilon_p in component A (uM_per_min)"
legend_constants[12] = "upsilon_d in component A (uM_per_min)"
legend_constants[13] = "K_p in component A (uM)"
legend_constants[14] = "K_d in component A (uM)"
legend_constants[15] = "n in component A (dimensionless)"
legend_constants[16] = "epsilon in component A (per_min)"
legend_rates[0] = "d/dt Z in component Ca (uM)"
legend_rates[1] = "d/dt Y in component Ca (uM)"
legend_rates[2] = "d/dt A in component A (uM)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
states[0] = 0.1
states[1] = 1.0
constants[0] = 1
constants[1] = 10
constants[2] = 0.5
constants[3] = 2
constants[4] = 1
constants[5] = 6.5
constants[6] = 0.1
states[2] = 0.5
constants[7] = 0.2
constants[8] = 0.3
constants[9] = 0.2
constants[10] = 19.5
constants[11] = 2.5
constants[12] = 80
constants[13] = 1
constants[14] = 0.4
constants[15] = 4
constants[16] = 0.1
constants[17] = constants[3]+constants[4]*constants[2]
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[2] = (constants[2]*constants[11]-constants[12]*((power(states[2], 2.00000))/(power(constants[13], 2.00000)+power(states[2], 2.00000)))*((power(states[0], constants[15]))/(power(constants[14], constants[15])+power(states[0], constants[15]))))-constants[16]*states[2]
algebraic[0] = constants[5]*((power(states[0], 2.00000))/(power(constants[6], 2.00000)+power(states[0], 2.00000)))
algebraic[1] = constants[10]*((power(states[2], 4.00000))/(power(constants[9], 4.00000)+power(states[2], 4.00000)))*((power(states[1], 2.00000))/(power(constants[7], 2.00000)+power(states[1], 2.00000)))*((power(states[0], 4.00000))/(power(constants[8], 4.00000)+power(states[0], 4.00000)))
rates[0] = (constants[17]-algebraic[0])+algebraic[1]+(constants[0]*states[1]-constants[1]*states[0])
rates[1] = (algebraic[0]-algebraic[1])-constants[0]*states[1]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = constants[5]*((power(states[0], 2.00000))/(power(constants[6], 2.00000)+power(states[0], 2.00000)))
algebraic[1] = constants[10]*((power(states[2], 4.00000))/(power(constants[9], 4.00000)+power(states[2], 4.00000)))*((power(states[1], 2.00000))/(power(constants[7], 2.00000)+power(states[1], 2.00000)))*((power(states[0], 4.00000))/(power(constants[8], 4.00000)+power(states[0], 4.00000)))
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)
