<html><head><meta name="color-scheme" content="light dark"></head><body><pre style="word-wrap: break-word; white-space: pre-wrap;">import os
import glob
from numpy import *
TRAININGSET=[zeros(67),[]]
DEVSET=[zeros(67),[]]
MIN=[]
for i in range(1,502):
	print i
	os.chdir(str(i))
	L=glob.glob('*.txt')
	for l in range(len(L)):
		b=loadtxt(L[l])
		try:
			TRAININGSET[0]=vstack([TRAININGSET[0],b.astype('float32').reshape(1,-1)[0][:67]])
               	        TRAININGSET[1].append(str(i))
		except:
			5
	os.chdir('..')


for i in range(1):
        print i
        os.chdir(str(i))
        L=glob.glob('*.txt')
        for l in range(len(L)):
                b=loadtxt(L[l])
                try:
                        DEVSET[0]=vstack([DEVSET[0],b.astype('float32').reshape(1,-1)[0][:67]])
                        DEVSET[1].append(L[l])
                except:
                        5
        os.chdir('..')



DEVSET[0]=DEVSET[0][1:,:]
TRAININGSET[0]=TRAININGSET[0][1:,:]
print DEVSET[0].shape

import cPickle
f=open('TRAININGSET_DELTAEE.pkl','wb')
cPickle.dump(TRAININGSET,f,protocol=cPickle.HIGHEST_PROTOCOL)
f.close()
f=open('TESTSET_DELTAEE.pkl','wb')
cPickle.dump(DEVSET,f,protocol=cPickle.HIGHEST_PROTOCOL)
f.close()

</pre></body></html>