Generated Code
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The raw code is available.
# Size of variable arrays:
sizeAlgebraic = 0
sizeStates = 1
sizeConstants = 19
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 (minute)"
legend_constants[15] = "C in component C (nanomolar)"
legend_constants[0] = "kf1 in component model_parameters (second_order_rate_constant)"
legend_constants[12] = "kr1 in component model_parameters (first_order_rate_constant)"
legend_constants[13] = "k_x1 in component model_parameters (first_order_rate_constant)"
legend_constants[1] = "kt in component model_parameters (first_order_rate_constant)"
legend_constants[2] = "ke in component model_parameters (first_order_rate_constant)"
legend_constants[3] = "L in component model_parameters (nanomolar)"
legend_constants[16] = "R in component R (nanomolar)"
legend_constants[14] = "K_X in component D (per_nanomolar)"
legend_constants[17] = "D in component D (nanomolar)"
legend_constants[4] = "kx2 in component model_parameters (second_order_rate_constant)"
legend_constants[5] = "k_x2 in component model_parameters (first_order_rate_constant)"
legend_constants[6] = "R_initial in component R (nanomolar)"
legend_constants[7] = "krec in component model_parameters (first_order_rate_constant)"
legend_constants[8] = "kdeg in component model_parameters (first_order_rate_constant)"
legend_states[0] = "Ri in component Ri (nanomolar)"
legend_constants[18] = "signal in component signal (dimensionless)"
legend_constants[9] = "kappaE in component model_parameters (dimensionless)"
legend_constants[10] = "Vs in component model_parameters (flux)"
legend_constants[11] = "KD in component model_parameters (nanomolar)"
legend_rates[0] = "d/dt Ri in component Ri (nanomolar)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 0.1
constants[1] = 0.005
constants[2] = 0.10
constants[3] = 0.01
constants[4] = 4.83
constants[5] = 0.016
constants[6] = 2000.0
constants[7] = 0.0
constants[8] = 0.05
states[0] = 200.0
constants[9] = 0.20
constants[10] = 10.0
constants[11] = 1.0
constants[12] = constants[11]*constants[0]
constants[13] = 0.0100000*constants[12]
constants[14] = constants[4]/(constants[5]+constants[13]+constants[2])
rootfind_0(voi, constants, rates, states, algebraic)
constants[18] = ((2.00000*constants[17])/200.000)/(constants[9]+(2.00000*constants[17])/200.000)
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = constants[1]*(constants[16]+constants[15])-(constants[7]+constants[8])*states[0]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
return algebraic
initialGuess0 = None
def rootfind_0(voi, constants, rates, states, algebraic):
"""Calculate values of algebraic variables for DAE"""
from scipy.optimize import fsolve
global initialGuess0
if initialGuess0 is None: initialGuess0 = ones(3)*0.1
if not iterable(voi):
soln = fsolve(residualSN_0, initialGuess0, args=(algebraic, voi, constants, rates, states), xtol=1E-6)
initialGuess0 = soln
constants[15] = soln[0]
constants[16] = soln[1]
constants[17] = soln[2]
else:
for (i,t) in enumerate(voi):
soln = fsolve(residualSN_0, initialGuess0, args=(algebraic[:,i], voi[i], constants, rates[:i], states[:,i]), xtol=1E-6)
initialGuess0 = soln
constants[15][i] = soln[0]
constants[16][i] = soln[1]
constants[17][i] = soln[2]
def residualSN_0(algebraicCandidate, algebraic, voi, constants, rates, states):
resid = array([0.0] * 3)
constants[15] = algebraicCandidate[0]
constants[16] = algebraicCandidate[1]
constants[17] = algebraicCandidate[2]
resid[0] = (constants[15]-(constants[0]*constants[3]*constants[16])/(constants[12]+constants[1]+(constants[13]+constants[2])*constants[14]*constants[16]))
resid[1] = (constants[17]-constants[14]*constants[16]*constants[15])
resid[2] = (constants[16]-(constants[6]-(constants[15]+2.00000*(constants[2]/constants[1])*(1.00000+constants[7]/constants[8])*constants[17])))
return resid
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)
