#!/usr/bin/pythonimport sysimport osif len(sys.argv) <= 1:	print 'Usage: %s training_file [testing_file]' % sys.argv[0]	raise SystemExittrain_pathname = sys.argv[1]file_name = os.path.split(train_pathname)[1]scaled_file = file_name + ".scale"model_file = file_name + ".model"range_file = file_name + ".range"if len(sys.argv) > 2:	test_pathname = sys.argv[2]	file_name = os.path.split(test_pathname)[1]	scaled_test_file = file_name + ".scale"	predict_test_file = file_name + ".predict"cmd = "../svm-scale -s %s %s > %s" % (range_file, train_pathname, scaled_file)print 'Scaling training data...'os.system(cmd)cmd = "./grid.py %s" % (scaled_file)print 'Cross validation...'dummy, f, dummy = os.popen3(cmd)line = ''while 1:	last_line = line	line = f.readline()	if not line: breakc,g,rate = map(float,last_line.split())print 'Best c=%s, g=%s' % (c,g)cmd = "../svm-train -c %s -g %s %s %s" % (c,g,scaled_file,model_file)print 'Training...'os.popen(cmd)print 'Output model: %s' % model_fileif len(sys.argv) > 2:	cmd = "../svm-scale -r %s %s > %s" % (range_file, test_pathname, scaled_test_file)	print 'Scaling testing data...'	os.system(cmd)	cmd = "../svm-predict %s %s %s" % (scaled_test_file, model_file, predict_test_file)	print 'Testing...'	os.system(cmd)	print 'Output prediction: %s' % predict_test_file