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 = 7
sizeStates = 2
sizeConstants = 17
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[0] = "MDFLW in component angiotensin (L_per_minute)"
legend_constants[15] = "ANGSCR in component instantaneous_angiotensin_formation (dimensionless)"
legend_constants[14] = "MDFLW3 in component instantaneous_angiotensin_formation (L_per_minute)"
legend_states[0] = "ANX1 in component time_delayed_angiotensin_formation (dimensionless)"
legend_constants[1] = "ANXM in component parameter_values (dimensionless)"
legend_constants[2] = "ANV in component parameter_values (minute)"
legend_constants[16] = "ANX in component time_delayed_angiotensin_formation (dimensionless)"
legend_algebraic[2] = "ANPR in component total_angiotensin_formation (dimensionless)"
legend_constants[3] = "REK in component parameter_values (dimensionless)"
legend_algebraic[0] = "ANPRT in component total_angiotensin_formation (dimensionless)"
legend_algebraic[4] = "ANPR1 in component artificial_angiotensin_formation (dimensionless)"
legend_constants[4] = "ANGKNS in component parameter_values (dimensionless)"
legend_constants[5] = "ANGINF in component parameter_values (dimensionless)"
legend_states[1] = "ANC in component angiotensin_concentration (dimensionless)"
legend_constants[6] = "ANT in component parameter_values (minute)"
legend_algebraic[1] = "ANM in component general_angiotensin_multiplier (dimensionless)"
legend_constants[7] = "ANMUL in component parameter_values (dimensionless)"
legend_constants[8] = "ANMLL in component parameter_values (dimensionless)"
legend_constants[9] = "ANCSNS in component parameter_values (dimensionless)"
legend_algebraic[5] = "ANU in component angiotensin_effect_on_circulation (dimensionless)"
legend_constants[10] = "ANUM in component parameter_values (dimensionless)"
legend_constants[11] = "ANULL in component parameter_values (dimensionless)"
legend_algebraic[3] = "ANU1 in component angiotensin_effect_on_circulation (dimensionless)"
legend_algebraic[6] = "ANUVN in component angiotensin_effect_on_venous_constriction (dimensionless)"
legend_constants[12] = "ANUVM in component parameter_values (dimensionless)"
legend_constants[13] = "Z12 in component parameter_values (dimensionless)"
legend_rates[0] = "d/dt ANX1 in component time_delayed_angiotensin_formation (dimensionless)"
legend_rates[1] = "d/dt ANC in component angiotensin_concentration (dimensionless)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 1.00051
states[0] = 0.0
constants[1] = 0
constants[2] = 5000
constants[3] = 1
constants[4] = 0
constants[5] = 0
states[1] = 0.859476
constants[6] = 12
constants[7] = 1.8
constants[8] = 0.7
constants[9] = 0.4
constants[10] = 6
constants[11] = 0.8
constants[12] = 0
constants[13] = 5
constants[14] = constants[0]
constants[15] = custom_piecewise([greater(constants[14] , 1.00000), 1.00000/(1.00000+(constants[14]-1.00000)*72.0000) , True, 10.0000-9.00000/(1.00000+(1.00000-constants[14])*8.00000)])
constants[16] = (constants[15]-1.00000)*constants[1]
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = (constants[16]-states[0])/constants[2]
algebraic[0] = (constants[15]+states[0])*constants[3]
algebraic[2] = custom_piecewise([less(algebraic[0] , 1.00000e-05), 1.00000e-05 , True, algebraic[0]])
algebraic[4] = custom_piecewise([greater(constants[4] , 0.00000), constants[4] , True, algebraic[2]+constants[5]])
rates[1] = (algebraic[4]-states[1])/constants[6]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
algebraic[0] = (constants[15]+states[0])*constants[3]
algebraic[2] = custom_piecewise([less(algebraic[0] , 1.00000e-05), 1.00000e-05 , True, algebraic[0]])
algebraic[4] = custom_piecewise([greater(constants[4] , 0.00000), constants[4] , True, algebraic[2]+constants[5]])
algebraic[1] = constants[7]-(constants[7]-1.00000)/(((constants[8]-1.00000)/(constants[8]-constants[7]))*(states[1]-1.00000)*constants[9]+1.00000)
algebraic[3] = (algebraic[1]-1.00000)*constants[10]+1.00000
algebraic[5] = custom_piecewise([less(algebraic[3] , constants[11]), constants[11] , True, algebraic[3]])
algebraic[6] = (algebraic[5]-1.00000)*constants[12]+1.00000
return algebraic
def custom_piecewise(cases):
"""Compute result of a piecewise function"""
return select(cases[0::2],cases[1::2])
def gcd(A, B):
"""Greatest common divisor"""
if (iterable(A) and iterable(B)):
x = [];
for (a,b) in zip(A,B):
assert (int(a) == a) and (int(b) == b)
a = int(a); b = int(b)
while a:
a,b = b % a, a
x.append(b)
return x
else:
while A:
A,B = B % A, A
return b
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)
