#!/usr/bin/env pythonimport sysimport osif len(sys.argv) <= 1:	print 'Usage: %s training_file [testing_file]' % sys.argv[0]	raise SystemExit# svm, grid, and gnuplot executableis_win32 = (sys.platform == 'win32')if not is_win32:	svmscale_exe = "../svm-scale"	svmtrain_exe = "../svm-train"	svmpredict_exe = "../svm-predict"	grid_py = "./grid.py"	gnuplot_exe = "/usr/bin/gnuplot"else:        # example for windows	svmscale_exe = r"..\windows\svmscale.exe"	svmtrain_exe = r"..\windows\svmtrain.exe"	svmpredict_exe = r"..\windows\svmpredict.exe"	gnuplot_exe = r"c:\tmp\gnuplot\bin\pgnuplot.exe"	grid_py = r".\grid.py"assert os.path.exists(svmscale_exe),"svm-scale executable not found"assert os.path.exists(svmtrain_exe),"svm-train executable not found"assert os.path.exists(svmpredict_exe),"svm-predict executable not found"assert os.path.exists(gnuplot_exe),"gnuplot executable not found"assert os.path.exists(grid_py),"grid.py not found"train_pathname = sys.argv[1]assert os.path.exists(train_pathname),"training file not found"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]	assert os.path.exists(test_pathname),"testing file not found"	scaled_test_file = file_name + ".scale"	predict_test_file = file_name + ".predict"cmd = "%s -s %s %s > %s" % (svmscale_exe, range_file, train_pathname, scaled_file)print 'Scaling training data...'os.system(cmd)cmd = "%s -svmtrain %s -gnuplot %s %s" % (grid_py, svmtrain_exe, gnuplot_exe, scaled_file)print 'Cross validation...'dummy, f = os.popen2(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 CV rate=%s' % (c,g,rate)cmd = "%s -c %s -g %s %s %s" % (svmtrain_exe,c,g,scaled_file,model_file)print 'Training...'os.popen(cmd)print 'Output model: %s' % model_fileif len(sys.argv) > 2:	cmd = "%s -r %s %s > %s" % (svmscale_exe, range_file, test_pathname, scaled_test_file)	print 'Scaling testing data...'	os.system(cmd)	cmd = "%s %s %s %s" % (svmpredict_exe, scaled_test_file, model_file, predict_test_file)	print 'Testing...'	os.system(cmd)	print 'Output prediction: %s' % predict_test_file