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readA.py
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readA.py
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import chi
import entropy
import numpy as np
def readFiles(Greal, Gimag):
import os
import sys
import numpy as np
import sys
omega_n = []
G_real = []
G_imag = []
try:
ifile = open(Greal, "r")
except:
sys.exit(Greal + " does not exist. ")
for index, string in enumerate(ifile):
a = string.split()
omega_n.append(float(a[0]))
G_real.append(float(a[1]))
ifile.close()
try:
ifile = open(Gimag, "r")
except:
sys.exit(Gimag + " does not exist. ")
for index, string in enumerate(ifile):
a = string.split()
G_imag.append(float(a[1]))
ifile.close()
G_real = np.asarray(G_real)
G_imag = np.asarray(G_imag)
return omega_n, G_real, G_imag
def readA(fileName):
omega = []
A = []
ifile = open(fileName, "r")
for i, string in enumerate(ifile):
a = string.split()
omega.append(float(a[0]))
A.append(float(a[1]))
ifile.close()
return omega, A
def main():
import os
import sys
import numpy.linalg
Greal = "G_cc_real.txt"
Gimag = "G_cc_imag.txt"
omega_n, G_real, G_imag = readFiles(Greal, Gimag)
Niom = len(omega_n)
C_real = np.zeros((Niom, Niom))
C_imag = np.zeros((Niom, Niom))
ifile = open("CM_cc_real.txt", "r")
for (index, string) in enumerate(ifile):
a = string.split()
rowIndex = int(a[0])-1
colIndex = int(a[1])-1
if (True):
C_real[rowIndex, colIndex] = float(a[2])
ifile.close()
ifile = open("CM_cc_imag.txt", "r")
for (index, string) in enumerate(ifile):
a = string.split()
rowIndex = int(a[0])-1
colIndex = int(a[1])-1
if (True):
C_imag[rowIndex, colIndex] = float(a[2])
ifile.close()
ifile = open("eig.txt", "r")
eig = float(ifile.readline())
ifile.close()
for i in range(Niom):
C_real[i, i] = eig**2
C_imag[i, i] = eig**2
C_real_inv = numpy.linalg.inv(C_real)
C_imag_inv = numpy.linalg.inv(C_imag)
alpha = []
ifile = open("alpha.txt", "r")
for i, string in enumerate(ifile):
alpha.append(float(string))
ifile.close()
spectrals = []
probability = []
chi_values = []
entropy_values = []
for i in range(len(alpha)):
print alpha[i]
fileName = "A_updated_alpha_" + str(alpha[i]) + ".txt"
omega, A = readA(fileName)
spectrals.append(np.asarray(A))
chi_values.append(chi.chi(G_real, G_imag, A, omega_n, omega, C_real_inv, C_imag_inv))
entropy_values.append(entropy.entropy(omega, A))
probability.append(np.exp(alpha[i]*entropy_values[i] - 0.5*chi_values[i]))
spectral_mean = np.zeros(len(spectrals[0]))
for i in range(1, len(spectrals)):
spectral_mean[:] = spectral_mean[:] + ((-alpha[i] + alpha[i-1])*probability[i]*spectrals[i])[:]
s = 0.0
for i in range(1, len(alpha)):
s = s + (-alpha[i] + alpha[i-1])*probability[i]
print "s = ", s
ofile = open("Chi_log_alpha.txt", "w")
for i in range(len(alpha)):
ofile.write(str(np.log(alpha[i])) + " " + str(chi_values[i]) + "\n")
ofile.close()
ofile = open("entropy_log_alpha.txt", "w")
for i in range(len(alpha)):
ofile.write(str(np.log(alpha[i])) + " " + str(entropy_values[i]) + "\n")
ofile.close()
ofile = open("P_log_alpha.txt", "w")
for i in range(len(alpha)):
ofile.write(str(np.log(alpha[i])) + " " + str(probability[i]) + "\n")
ofile.close()
ofile = open("bryan.txt", "w")
for i in range(len(omega)):
ofile.write(str(omega[i]) + " " + str(spectral_mean[i]/s) + "\n")
ofile.close()
ofile = open("bryan_2pi.txt", "w")
for i in range(len(omega)):
ofile.write(str(omega[i]) + " " + str(spectral_mean[i]/(2*np.pi*s)) + "\n")
ofile.close()
return 0
main()