feat(handle_data): support threshold

gen.py

@@ -3,7 +3,7 @@
 import numpy as np
 import math
 
-print ( ' '.join ( list ( map ( str, range ( 100, 501, 5 ) ) ) ) )
+print ( ' '.join ( list ( map ( str, range ( 100, 501, 2 ) ) ) ) )
 
 a = np.logspace(math.log(0.0001,10),math.log(0.01,10),40).tolist()[0:-1] + np.logspace(math.log(0.01,10),math.log(1,10),80).tolist()
 print ( ' '.join ( list ( map ( str, a ) ) ) )

handle_data.py

@@ -32,11 +32,12 @@ def main ():
 			try:
 				cur = data[line_id].split ()
 				line_id += 1
-				if len(cur) != 2:
-					print ('Syntax error at line {}: lambda or p not found: {}'.format (line_id, cur))
+				if len(cur) != 3:
+					print ('Syntax error at line {}: lambda, p, threshold, not found: {}'.format (line_id, cur))
 					raise Exception ()
 				lbd = int (cur[0])
 				p = float (cur[1])
+				thres = int (cur[2])
 				cur_res = []
 				for i in range (args.repeat):   # pylint: disable=unused-variable
 					cur = data[line_id]
@@ -49,7 +50,7 @@ def main ():
 					raise Exception ()
 				mean = np.mean (cur_res)
 				var = np.var (cur_res)
-				result[(lbd, p)] =(mean, var)
+				result[(lbd, p, thres)] =(mean, var)
 			except Exception:
 				print ('Exception at line {}'.format (line_id))
 		else:
@@ -57,38 +58,45 @@ def main ():
 
 	lbd_axis = []
 	p_axis = []
+	thres_axis = []
 	for i in result.keys ():
 		if i[0] not in lbd_axis:
 			lbd_axis.append (i[0])
 		if i[1] not in p_axis:
 			p_axis.append (i[1])
+		if i[2] not in thres_axis:
+			thres_axis.append (i[2])
 	lbd_axis.sort ()
 	p_axis.sort ()
+	thres_axis.sort ()
 
 	with open (args.output, 'w') as OUT:
+		for thres in thres_axis:
 			mean_format = ',{:.%d}' % (args.precision_mean)
 			if args.precision_var == -1:
 				var_format = ',{}'
 			else:
 				var_format = ',{:.%d}' % (args.precision_var)
-		print (','.join (['Mean'] + list (map (str, p_axis))), file=OUT)
+			print (','.join (['Mean (threshold={})'.format (thres)] + list (map (str, p_axis))), file=OUT)
 			for lbd in lbd_axis:
 				print ('{}'.format (lbd), end='', file=OUT)
 				for p in p_axis:
-				if (lbd, p) in result:
-					print (mean_format.format (result[(lbd, p)][0]), end='', file=OUT)
+					if (lbd, p, thres) in result:
+						print (mean_format.format (result[(lbd, p, thres)][0]), end='', file=OUT)
 					else:
-					print (',N/A', file=OUT)
+						print (',N/A', end='', file=OUT)
 				print (file=OUT)
 			print (file=OUT)
-		print (','.join (['Variance'] + list (map (str, p_axis))), file=OUT)
+		for thres in thres_axis:
+			print (','.join (['Variance (threshold={})'.format (thres)] + list (map (str, p_axis))), file=OUT)
 			for lbd in lbd_axis:
 				print ('{}'.format (lbd), end='', file=OUT)
 				for p in p_axis:
-				if (lbd, p) in result:
-					print (var_format.format (result[(lbd, p)][1]), end='', file=OUT)
+					if (lbd, p, thres) in result:
+						print (var_format.format (result[(lbd, p, thres)][1]), end='', file=OUT)
 					else:
-					print (',N/A', file=OUT)
+						print (',N/A', end='', file=OUT)
+				print (file=OUT)
 			print (file=OUT)