-
Notifications
You must be signed in to change notification settings - Fork 6
/
Copy pathEvaluate_Identical.py
207 lines (198 loc) · 12 KB
/
Evaluate_Identical.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
import codecs
import json
import os
import re
from Utils.IOHelper import readF2L
def check_identical(label,candidates):
hit_idx=-1
pattern = re.compile(r'\s+');
if isinstance(candidates,dict):
for idx in candidates.keys():
label_new=re.sub(pattern,'',label)
cand_new=re.sub(pattern,'',candidates[idx])
if label_new==cand_new:
hit_idx=idx
break
pass
else:
for idx,cand in enumerate(candidates):
label_new=re.sub(pattern,'',label)
cand_new=re.sub(pattern,'',cand)
if label_new==cand_new:
print(label,cand)
hit_idx=idx+1
break
return hit_idx
pass
def Evaluate_identical_SequenceR(candidate_size,pred_f,label_f,ids_f,output_f):
preds=readF2L(pred_f)
labels=readF2L(label_f)
ids=readF2L(ids_f)
assert len(ids)==len(labels)
assert len(preds)==len(ids)*candidate_size
eval_result={}
for idx,id in enumerate(ids):
label=labels[idx]
candidates=preds[idx*candidate_size:(idx+1)*candidate_size]
eval_result[id]=check_identical(label,candidates)
for id in eval_result.keys():
if eval_result[id]>0:
print(id,eval_result[id])
with open(output_f,'w',encoding='utf8')as f:
json.dump(eval_result,f,indent=2)
#Evaluate_identical_SequenceR(300,r"D:\NPR4J-Pred\qbs\SequenceR\SequenceR_b300_qbs.pred",r"D:\RawData_Processed\SequenceR\qbs.fix",
#r"D:\RawData_New\qbs.ids.new",r"D:\NPR4J-Eval-Results\qbs\SequenceR\identical.ids")
#Evaluate_identical_SequenceR(300,r"D:\NPR4J-Pred\d4j\SequenceR\SequenceR_b300_d4j.pred",r"D:\RawData_Processed\SequenceR\d4j.fix",
#r"D:\RawData_New\d4j.ids.new",r"D:\NPR4J-Eval-Results\d4j\SequenceR\identical.ids")
#Evaluate_identical_SequenceR(300,r"D:\NPR4J-Pred\bears\SequenceR\SequenceR_b300_bears.pred",r"D:\RawData_Processed\SequenceR\bears.fix",
#r"D:\RawData_New\bears.ids.new",r"D:\NPR4J-Eval-Results\bears\SequenceR\identical.ids")
def Evaluate_identical_Tufano(candidate_size,pred_f,ids_f,label_f,output_f):
preds=readF2L(pred_f)
labels=readF2L(label_f)
ids=readF2L(ids_f)
assert len(ids)==len(labels)
assert len(preds)==len(ids)*candidate_size
eval_result={}
for idx,id in enumerate(ids):
label=labels[idx]
candidates=preds[idx*candidate_size:(idx+1)*candidate_size]
eval_result[id]=check_identical(label,candidates)
for id in eval_result.keys():
if eval_result[id]>0:
print(id,eval_result[id])
with open(output_f,'w',encoding='utf8')as f:
json.dump(eval_result,f,indent=2)
#Evaluate_identical_Tufano(300,r"D:\NPR4J-Pred\qbs\Tufano\Tufano_b300_qbs.pred.recovery","D:/RawData_Processed/Tufano/qbs_test.sids",
#"D:/RawData_Processed/Tufano/qbs_test.fix.recovery",r"D:\NPR4J-Eval-Results\qbs\Tufano\identical.ids")
#Evaluate_identical_Tufano(300,r"D:\NPR4J-Pred\d4j\Tufano\Tufano_b300_d4j.pred.recovery","D:/RawData_Processed/Tufano/d4j_test.sids",
#"D:/RawData_Processed/Tufano/d4j_test.fix.recovery",r"D:\NPR4J-Eval-Results\d4j\Tufano\identical.ids")
#Evaluate_identical_Tufano(300,r"D:\NPR4J-Pred\bears\Tufano\Tufano_b300_bears.pred.recovery","D:/RawData_Processed/Tufano/bears_test.sids",
#"D:/RawData_Processed/Tufano/bears_test.fix.recovery",r"D:\NPR4J-Eval-Results\bears\Tufano\identical.ids")
def Evaluate_identical_CodeBERTft(candidate_size,pred_f,ids_f,label_f,output_f):
preds=readF2L(pred_f)
labels=readF2L(label_f)
ids=readF2L(ids_f)
assert len(ids)==len(labels)
assert len(preds)==len(ids)*candidate_size
eval_result={}
rec_preds=[]
for pred in preds:
pure_pred=pred.replace("<PRED_START>","").replace("<PRED_END>","")
rec_preds.append(pure_pred)
for idx,id in enumerate(ids):
label=labels[idx]
candidates=rec_preds[idx*candidate_size:(idx+1)*candidate_size]
eval_result[id]=check_identical(label,candidates)
for id in eval_result.keys():
if eval_result[id]>0:
print(id,eval_result[id])
with open(output_f,'w',encoding='utf8')as f:
json.dump(eval_result,f,indent=2)
#Evaluate_identical_CodeBERTft(300,r"D:\NPR4J-Pred\qbs\CodeBERT-ft\qbs.output","D:/RawData_Processed/Tufano/qbs_test.sids",
#"D:/RawData_Processed/CodeBERT-ft/qbs.fix",r"D:\NPR4J-Eval-Results\qbs\CodeBERT-ft\identical.ids")
#Evaluate_identical_CodeBERTft(300,r"D:\NPR4J-Pred\d4j\CodeBERT-ft\d4j.output","D:/RawData_Processed/SequenceR/d4j.sids",
#"D:/RawData_Processed/CodeBERT-ft/d4j.fix",r"D:\NPR4J-Eval-Results\d4j\CodeBERT-ft\identical.ids")
#Evaluate_identical_CodeBERTft(300,r"D:\NPR4J-Pred\bears\CodeBERT-ft\bears.output","D:/RawData_Processed/SequenceR/bears.sids",
#"D:/RawData_Processed/CodeBERT-ft/bears.fix",r"D:\NPR4J-Eval-Results\bears\CodeBERT-ft\identical.ids")
def Evaluate_identical_Recoder(preds_dir,ids_f,labels_f,output_f):
ids=readF2L(ids_f)
labels=readF2L(labels_f)
eval_result = {}
pattern = re.compile(r'\s+');
for idx,id in enumerate(ids):
label=labels[idx]
fix_id=id.split('_')[-1]
fix_path=preds_dir+'/'+fix_id+'.fix'
pure_label=re.sub(pattern,'',label)
#print(pure_label)
eval_result[id] = -1
if os.path.exists(fix_path):
candidates=json.load(codecs.open(fix_path,'r',encoding='utf8'))
for key in candidates.keys():
cand=candidates[key]
pure_cand=re.sub(pattern,'',cand)
if pure_label in pure_cand:
eval_result[id] = int(key)+1
break
else:
eval_result[id] = -1
with open(output_f, 'w', encoding='utf8') as f:
json.dump(eval_result, f, indent=2)
def Evaluate_identical_Recoder_2(preds_f,methods_dir,output_f):
preds=json.load(codecs.open(preds_f,'r',encoding='utf8'))
pattern = re.compile(r'\s+');
eval_result = {}
for id in preds.keys():
candidates=preds[id]
eval_result[id] = -1
for key in candidates.keys():
key_candidate=candidates[key]
fix_method=codecs.open(methods_dir+'/'+id+'.txt','r',encoding='utf8').read()
pure_cand = re.sub(pattern, '', key_candidate)
pure_fix=re.sub(pattern,'',fix_method)
pure_cand=pure_cand.replace('(','').replace(')','')
pure_fix=pure_fix.replace('(','').replace(')','')
if pure_cand==pure_fix:
eval_result[id]=int(key)
break
with open(output_f, 'w', encoding='utf8') as f:
json.dump(eval_result, f, indent=2)
#Evaluate_identical_Recoder("D:/NPR4J-Pred/qbs/recoder",r"D:\RawData_Processed\SequenceR\qbs.sids",
#r"D:\RawData_Processed\CodeBERT-ft\qbs.fix",r"D:\NPR4J-Eval-Results\qbs\Recoder\identical.ids")
#Evaluate_identical_Recoder("D:/NPR4J-Pred/d4j/recoder_2",r"D:\RawData_Processed\SequenceR\d4j.sids",
#r"D:\RawData_Processed\CodeBERT-ft\d4j.fix",r"D:\NPR4J-Eval-Results\d4j\Recoder\identical.ids")
#Evaluate_identical_Recoder_2(r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\Recoder\Recoder_d4j_b300.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\Recoder\identical.ids")
#Evaluate_identical_Recoder_2(r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\Recoder_ori\recoder_ori_b300.patches","E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\Recoder_ori\identical.ids")
#Evaluate_identical_Recoder_2(r"D:\NPR4J-Eval-Results\bears\Recoder\recoder.patches","E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\Recoder\identical.ids")
#Evaluate_identical_Recoder_2(r"D:\NPR4J-Eval-Results\bears\Recoder_ori\recoder_ori_b300.patches","E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\Recoder_ori\identical.ids")
def Evaluate_identical_CoCoNut(ids_f,patches_f,fix_methods_dir,output_f):
candidates=json.load(codecs.open(patches_f,'r',encoding='utf8'))
ids=readF2L(ids_f)
eval_result={}
for id in ids:
eval_result[id]=-1
id_preds=candidates[id]
fix_method=codecs.open(fix_methods_dir+'/'+id+'.txt','r',encoding='utf8').read().strip()
#print(fix_method,id_preds["1"])
identical_re=check_identical(fix_method,id_preds)
eval_result[id]=identical_re
with open(output_f, 'w', encoding='utf8') as f:
json.dump(eval_result, f, indent=2)
#Evaluate_identical_CoCoNut(r"D:\RawData_Processed\SequenceR\qbs.sids",r"D:\NPR4J-Eval-Results\qbs\CoCoNut\CoCoNut_300.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\qbs\CoCoNut\identical.ids")
#Evaluate_identical_CoCoNut(r"D:\RawData_Processed\SequenceR\d4j.sids",r"D:\NPR4J-Eval-Results\d4j\CoCoNut\CoCoNut_300_d4j.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\CoCoNut\identical.ids")
Evaluate_identical_CoCoNut(r"D:\RawData_Processed\SequenceR\bears.sids",r"D:\NPR4J-Eval-Results\bears\CoCoNut\CoCoNut_300.patches",
"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\CoCoNut\identical.ids")
def Evaluate_identical_Edits(ids_f,patches_f,fix_methods_dir,output_f):
candidates=json.load(codecs.open(patches_f,'r',encoding='utf8'))
ids=readF2L(ids_f)
eval_result={}
for id in ids:
eval_result[id]=-1
id_preds=candidates[id]
fix_method=codecs.open(fix_methods_dir+'/'+id+'.txt','r',encoding='utf8').read().strip()
#print(fix_method,id_preds["1"])
identical_re=check_identical(fix_method,id_preds)
eval_result[id]=identical_re
with open(output_f, 'w', encoding='utf8') as f:
json.dump(eval_result, f, indent=2)
#Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\qbs.ids",r"D:\NPR4J-Pred\qbs\Edits\Edits_qbs_b300.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\qbs\Edits\identical.ids")
#Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\d4j.ids",r"D:\NPR4J-Pred\d4j\Edits\Edits_d4j_b300.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\Edits\identical.ids")
#Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\d4j.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\RewardRepair\d4j_mine.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\RewardRepair\identical.ids")
#Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\d4j.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\RewardRepair_ori\d4j_ori.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\RewardRepair_ori\identical.ids")
#Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\bears.ids",r"D:\NPR4J-Pred\bears\Edits\Edits_bears_b300.patches",
#"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\Edits\identical.ids")
# Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\d4j.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\RewardRepair\d4j_mine.patches",
# "E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\RewardRepair\identical.ids")
# Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\d4j.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\d4j\RewardRepair_ori\d4j_ori.patches",
# "E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\d4j\RewardRepair_ori\identical.ids")
Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\bears.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\bears\RewardRepair_ori\bears_ori.patches",
"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\RewardRepair_ori\identical.ids")
Evaluate_identical_Edits(r"D:\RawData_Processed\PatchEdits\bears.ids",r"E:\NPR4J\ICSE23\NPR4J_Eval\bears\RewardRepair\bears_mine.patches",
"E:/NPR4J/RawData (2)/Benchmarks/fix_methods",r"D:\NPR4J-Eval-Results\bears\RewardRepair\identical.ids")