--- a
+++ b/load_deap.py
@@ -0,0 +1,45 @@
+import cPickle
+import os
+from multiprocessing import Pool
+import sys
+import numpy as np
+chan = ['Fp1','AF3','F3','F7','FC5','FC1','C3','T7','CP5','CP1','P3','P7','PO3','O1','Oz','Pz','Fp2','AF4','Fz','F4','F8','FC6','FC2','Cz','C4','T8','CP6','CP2','P4','P8','PO4','O2']
+nLabel, nTrial, nUser, nChannel, nTime  = 4, 40, 32, 32, 8064
+print "Program started \n"
+fout_labels0 = open("labels_0.dat",'w')
+fout_labels1 = open("labels_1.dat",'w')
+fout_labels2 = open("labels_2.dat",'w')
+fout_labels3 = open("labels_3.dat",'w')
+for i in range(nUser):#4, 40, 32, 32, 8064
+	if i < 10:
+		name = '%0*d' % (2,i+1)
+	else:
+		name = i+1
+	fname = "/data_preprocessed_python/data_preprocessed_python/s"+str(name)+".dat"
+	x = cPickle.load(open(fname, 'rb'))
+	print fname
+	for tr in range(nTrial):
+		fout_data = open("features_raw.csv",'w')
+		for ch in chan:
+			fout_data.write(ch+",")
+		fout_data.write("\n")
+		for dat in range(nTime):
+			for ch in range(nChannel):
+				if ch <32:
+					if ch == 31:
+						fout_data.write(str(x['data'][tr][ch][dat]));	
+					else:					
+						fout_data.write(str(x['data'][tr][ch][dat])+",");
+			fout_data.write("\n");
+		fout_labels0.write(str(x['labels'][tr][0]) + "\n");
+		fout_labels1.write(str(x['labels'][tr][1]) + "\n");
+		fout_labels2.write(str(x['labels'][tr][2]) + "\n");
+		fout_labels3.write(str(x['labels'][tr][3]) + "\n");
+		fout_data.close()
+		os.system('python creating_vector.py')
+		print "user "+ str(i) +" trail"+ str(tr)
+fout_labels0.close()
+fout_labels1.close()
+fout_labels2.close()
+fout_labels3.close()
+print "\n"+"Print Successful"