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 = 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[0] = "ADHC in component thirst_drinking_and_salt_appetite (dimensionless)"
legend_constants[1] = "ANM in component thirst_drinking_and_salt_appetite (dimensionless)"
legend_constants[2] = "POT in component thirst_drinking_and_salt_appetite (mmHg)"
legend_constants[12] = "STH in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)"
legend_constants[3] = "ANMSLT in component parameter_values (dimensionless)"
legend_constants[4] = "Z10 in component parameter_values (mmHg)"
legend_constants[5] = "Z11 in component parameter_values (per_mmHg2)"
legend_constants[10] = "ANMSML in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)"
legend_constants[11] = "STH1 in component effect_of_salt_appetite_stimulation_on_thirst (dimensionless)"
legend_constants[13] = "AHCM in component effect_of_antidiuretic_hormone_on_thirst (dimensionless)"
legend_constants[6] = "AHTHM in component parameter_values (dimensionless)"
legend_constants[14] = "ANMTH in component effect_of_angiotensin_on_thirst (dimensionless)"
legend_constants[7] = "ANMTM in component parameter_values (dimensionless)"
legend_states[0] = "TVD in component rate_of_fluid_intake (L_per_minute)"
legend_constants[8] = "DR in component parameter_values (L_per_minute)"
legend_constants[9] = "TVDDL in component parameter_values (minute)"
legend_constants[16] = "AHTH in component rate_of_fluid_intake (dimensionless)"
legend_constants[15] = "AHTH1 in component rate_of_fluid_intake (dimensionless)"
legend_constants[18] = "TVZ in component rate_of_fluid_intake (L_per_minute)"
legend_constants[17] = "TVZ1 in component rate_of_fluid_intake (L_per_minute)"
legend_rates[0] = "d/dt TVD in component rate_of_fluid_intake (L_per_minute)"
return (legend_states, legend_algebraic, legend_voi, legend_constants)
def initConsts():
constants = [0.0] * sizeConstants; states = [0.0] * sizeStates;
constants[0] = 1.0
constants[1] = 0.987545
constants[2] = 35.1148
constants[3] = 2
constants[4] = 45
constants[5] = 0.01
constants[6] = 2
constants[7] = 1.5
states[0] = 0.000980838
constants[8] = 0
constants[9] = 30
constants[10] = (constants[1]-1.00000)*constants[3]+1.00000
constants[11] = (power(constants[4]-constants[2], 2.00000))*constants[5]*constants[10]
constants[12] = custom_piecewise([less(constants[11] , 0.800000), 0.800000 , greater(constants[11] , 8.00000), 8.00000 , True, constants[11]])
constants[13] = (constants[0]-1.00000)*constants[6]+1.00000
constants[14] = (constants[1]-1.00000)*constants[7]*0.00100000
constants[15] = constants[13]*constants[12]*0.00100000
constants[16] = custom_piecewise([less(constants[15] , 0.00000), 0.00000 , True, constants[15]])
constants[17] = (constants[14]+constants[16])*1.00000
constants[18] = custom_piecewise([less(constants[17] , 0.00000), 0.00000 , True, constants[17]])
return (states, constants)
def computeRates(voi, states, constants):
rates = [0.0] * sizeStates; algebraic = [0.0] * sizeAlgebraic
rates[0] = ((constants[18]+constants[8])-states[0])/constants[9]
return(rates)
def computeAlgebraic(constants, states, voi):
algebraic = array([[0.0] * len(voi)] * sizeAlgebraic)
states = array(states)
voi = array(voi)
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)
