Created
July 28, 2019 17:28
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from math import * | |
import numpy as np | |
def initializeConstants(states, variables): | |
states[0] = 0.05 | |
states[1] = 0.6 | |
states[2] = 0.325 | |
states[3] = 0.0 | |
variables[0] = 0.3 | |
variables[1] = 1.0 | |
variables[2] = 0.0 | |
variables[3] = 36.0 | |
variables[4] = 120.0 | |
def computeComputedConstants(variables): | |
variables[6] = variables[2]-10.613 | |
variables[8] = variables[2]-115.0 | |
variables[14] = variables[2]+12.0 | |
def computeRates(voi, states, rates, variables): | |
variables[10] = 0.1*(states[3]+25.0)/(exp((states[3]+25.0)/10.0)-1.0) | |
variables[11] = 4.0*exp(states[3]/18.0) | |
rates[0] = variables[10]*(1.0-states[0])-variables[11]*states[0] | |
variables[12] = 0.07*exp(states[3]/20.0) | |
variables[13] = 1.0/(exp((states[3]+30.0)/10.0)+1.0) | |
rates[1] = variables[12]*(1.0-states[1])-variables[13]*states[1] | |
variables[16] = 0.01*(states[3]+10.0)/(exp((states[3]+10.0)/10.0)-1.0) | |
variables[17] = 0.125*exp(states[3]/80.0) | |
rates[2] = variables[16]*(1.0-states[2])-variables[17]*states[2] | |
variables[5] = -20.0 if ((voi >= 10.0) & (voi <= 10.5)) else 0.0 | |
variables[7] = variables[0]*(states[3]-variables[6]) | |
variables[15] = variables[3]*pow(states[2], 4.0)*(states[3]-variables[14]) | |
variables[9] = variables[4]*pow(states[0], 3.0)*states[1]*(states[3]-variables[8]) | |
rates[3] = -(-variables[5]+variables[9]+variables[15]+variables[7])/variables[1] | |
def computeVariables(voi, states, rates, variables): | |
variables[7] = variables[0]*(states[3]-variables[6]) | |
variables[9] = variables[4]*pow(states[0], 3.0)*states[1]*(states[3]-variables[8]) | |
variables[10] = 0.1*(states[3]+25.0)/(exp((states[3]+25.0)/10.0)-1.0) | |
variables[11] = 4.0*exp(states[3]/18.0) | |
variables[12] = 0.07*exp(states[3]/20.0) | |
variables[13] = 1.0/(exp((states[3]+30.0)/10.0)+1.0) | |
variables[15] = variables[3]*pow(states[2], 4.0)*(states[3]-variables[14]) | |
variables[16] = 0.01*(states[3]+10.0)/(exp((states[3]+10.0)/10.0)-1.0) | |
variables[17] = 0.125*exp(states[3]/80.0) | |
NB_OF_STATES = 4 | |
NB_OF_VARIABLES = 18 | |
DELTA_T = 0.01 | |
def outputData(voi, states, variables): | |
print(f"{voi}", end="") | |
for state in states: | |
print(f",{state}", end="") | |
for variable in variables: | |
print(f",{variable}", end="") | |
print("") | |
states = np.zeros(NB_OF_STATES) | |
rates = np.zeros(NB_OF_STATES) | |
variables = np.zeros(NB_OF_VARIABLES) | |
initializeConstants(states, variables) | |
computeComputedConstants(variables) | |
computeRates(0.0, states, rates, variables) | |
computeVariables(0.0, states, rates, variables) | |
outputData(0.0, states, variables) | |
for i in range(5000+1): | |
voi = i*DELTA_T | |
computeRates(voi, states, rates, variables) | |
for j in range(NB_OF_STATES): | |
states[j] += DELTA_T*rates[j] | |
if fmod(i+1, 10) == 0: | |
computeVariables(voi, states, rates, variables) | |
outputData((i+1)*DELTA_T, states, variables) |
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