facebookresearch / LaMCTS
Duplication

Places in code with 6 or more lines that are exactly the same.

Intro
  • For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
  • Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
  • You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.
Learn more...
Duplication Overall
  • 57% duplication:
    • 5,916 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 3,417 duplicated lines
  • 211 duplicates
system57% (3,417 lines)
Duplication per Extension
py57% (3,417 lines)
Duplication per Component (primary)
LaNAS/LaNet/CIFAR1064% (666 lines)
LaNAS/Distributed_LaNAS/clientX71% (612 lines)
LaNAS/one-shot_LaNAS/Evaluate61% (435 lines)
LaNAS/LaNAS_NASBench10182% (402 lines)
LaNAS/Distributed_LaNAS/server70% (380 lines)
LaNAS/one-shot_LaNAS/LaNAS63% (321 lines)
LaNAS/one-shot_LaNAS/supernet51% (312 lines)
LA-MCTS-baselines/Bayesian-Optimization86% (92 lines)
LA-MCTS-baselines/Nevergrad91% (92 lines)
LA-MCTS/functions31% (75 lines)
LA-MCTS/lamcts3% (19 lines)
LA-MCTS18% (11 lines)
LaNAS/Distributed_LaNAS0% (0 lines)
LaNAS/one-shot_LaNAS0% (0 lines)

Duplication Between Components (50+ lines)

G LaNAS/Distributed_LaNAS/clientX LaNAS/Distributed_LaNAS/clientX LaNAS/LaNet/CIFAR10 LaNAS/LaNet/CIFAR10 LaNAS/Distributed_LaNAS/clientX--LaNAS/LaNet/CIFAR10 1183 LaNAS/one-shot_LaNAS/Evaluate LaNAS/one-shot_LaNAS/Evaluate LaNAS/Distributed_LaNAS/clientX--LaNAS/one-shot_LaNAS/Evaluate 422 LaNAS/one-shot_LaNAS/supernet LaNAS/one-shot_LaNAS/supernet LaNAS/Distributed_LaNAS/clientX--LaNAS/one-shot_LaNAS/supernet 269 LaNAS/LaNet/CIFAR10--LaNAS/one-shot_LaNAS/Evaluate 415 LaNAS/LaNet/CIFAR10--LaNAS/one-shot_LaNAS/supernet 268 LaNAS/Distributed_LaNAS/server LaNAS/Distributed_LaNAS/server LaNAS/LaNAS_NASBench101 LaNAS/LaNAS_NASBench101 LaNAS/Distributed_LaNAS/server--LaNAS/LaNAS_NASBench101 757 LaNAS/one-shot_LaNAS/LaNAS LaNAS/one-shot_LaNAS/LaNAS LaNAS/Distributed_LaNAS/server--LaNAS/one-shot_LaNAS/LaNAS 574 LaNAS/LaNAS_NASBench101--LaNAS/one-shot_LaNAS/LaNAS 630 LaNAS/one-shot_LaNAS/Evaluate--LaNAS/one-shot_LaNAS/supernet 650 LA-MCTS-baselines/Bayesian-Optimization LA-MCTS-baselines/Bayesian-Optimization LA-MCTS-baselines/Nevergrad LA-MCTS-baselines/Nevergrad LA-MCTS-baselines/Bayesian-Optimization--LA-MCTS-baselines/Nevergrad 184 LA-MCTS/functions LA-MCTS/functions LA-MCTS-baselines/Bayesian-Optimization--LA-MCTS/functions 54 LA-MCTS-baselines/Nevergrad--LA-MCTS/functions 54

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Longest Duplicates
The list of 20 longest duplicates.
See data for all 211 duplicates...
Size#FoldersFilesLinesCode
209 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
nasnet_set.py
nasnet_set.py
 64:310 (84%)
20:271 (98%)
 view
105 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
model.py
model.py
 19:150 (90%)
15:146 (88%)
 view
98 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
 44:154 (80%)
48:158 (79%)
 view
96 x 2 LaNAS/one-shot_LaNAS/Evaluate
LaNAS/one-shot_LaNAS/supernet
operations.py
operations.py
 10:132 (100%)
10:132 (100%)
 view
88 x 2 LaNAS/one-shot_LaNAS/Evaluate
LaNAS/one-shot_LaNAS/supernet
utils.py
utils.py
 14:130 (100%)
14:143 (100%)
 view
86 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
operations.py
operations.py
 11:129 (100%)
10:123 (100%)
 view
76 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
Classifier.py
Classifier.py
 68:154 (62%)
73:159 (61%)
 view
76 x 2 LaNAS/LaNAS_NASBench101
LaNAS/one-shot_LaNAS/LaNAS
Classifier.py
Classifier.py
 72:158 (61%)
73:159 (61%)
 view
61 x 2 LaNAS/LaNAS_NASBench101
LaNAS/one-shot_LaNAS/LaNAS
Node.py
Node.py
 111:179 (45%)
128:196 (41%)
 view
57 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
Node.py
Node.py
 115:179 (42%)
115:179 (42%)
 view
57 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
Node.py
Node.py
 115:179 (42%)
132:196 (38%)
 view
46 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
net_training.py
net_training.py
 28:79 (80%)
29:80 (80%)
 view
43 x 2 LA-MCTS-baselines/Bayesian-Optimization
LA-MCTS-baselines/Nevergrad
functions.py
functions.py
 39:94 (56%)
39:93 (57%)
 view
34 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
Node.py
Node.py
 30:74 (25%)
31:75 (25%)
 view
33 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/one-shot_LaNAS/Evaluate
utils.py
utils.py
 53:99 (36%)
46:87 (37%)
 view
33 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/one-shot_LaNAS/supernet
utils.py
utils.py
 53:99 (36%)
46:87 (37%)
 view
29 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/one-shot_LaNAS/Evaluate
model.py
individual_model.py
 71:108 (25%)
87:122 (22%)
 view
29 x 2 LaNAS/LaNet/CIFAR10
LaNAS/one-shot_LaNAS/Evaluate
model.py
individual_model.py
 67:104 (24%)
87:122 (22%)
 view
27 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
utils.py
utils.py
 116:150 (30%)
180:214 (16%)
 view
24 x 2 LA-MCTS-baselines/Bayesian-Optimization
LA-MCTS-baselines/Nevergrad
functions.py
functions.py
 12:37 (31%)
12:37 (32%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 46 unit duplicates...
Size#FoldersFilesLinesCode
82 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
nasnet_set.py
nasnet_set.py
 0:0 
0:0 
 view
34 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
nasnet_set.py
nasnet_set.py
 0:0 
0:0 
 view
28 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
model.py
model.py
 0:0 
0:0 
 view
28 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
net_training.py
net_training.py
 0:0 
0:0 
 view
25 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Node.py
Node.py
Node.py
 0:0 
0:0 
0:0 
 view
21 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
Classifier.py
 0:0 
0:0 
0:0 
 view
19 x 2 LA-MCTS-baselines/Bayesian-Optimization
LA-MCTS-baselines/Nevergrad
functions.py
functions.py
 0:0 
0:0 
 view
18 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
continue_train.py
test.py
 0:0 
0:0 
 view
18 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
model.py
model.py
 0:0 
0:0 
 view
20 x 2 LaNAS/Distributed_LaNAS/server
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
 0:0 
0:0 
 view
16 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
nasnet_set.py
nasnet_set.py
 0:0 
0:0 
 view
15 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
Classifier.py
 0:0 
0:0 
0:0 
 view
15 x 2 LaNAS/one-shot_LaNAS/supernet
LaNAS/one-shot_LaNAS/Evaluate
utils.py
utils.py
 0:0 
0:0 
 view
14 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
Classifier.py
 0:0 
0:0 
0:0 
 view
14 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Node.py
Node.py
Node.py
 0:0 
0:0 
0:0 
 view
13 x 3 LaNAS/Distributed_LaNAS/server
LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
Classifier.py
 0:0 
0:0 
0:0 
 view
13 x 2 LaNAS/Distributed_LaNAS/clientX
LaNAS/LaNet/CIFAR10
operations.py
operations.py
 0:0 
0:0 
 view
13 x 4 LaNAS/Distributed_LaNAS/clientX
LaNAS/one-shot_LaNAS/supernet
LaNAS/one-shot_LaNAS/Evaluate
LaNAS/LaNet/CIFAR10
utils.py
utils.py
utils.py
utils.py
 0:0 
0:0 
0:0 
0:0 
 view
13 x 2 LaNAS/one-shot_LaNAS/LaNAS
LaNAS/LaNAS_NASBench101
Classifier.py
Classifier.py
 0:0 
0:0 
 view
13 x 3 LaNAS/Distributed_LaNAS/clientX
LaNAS/one-shot_LaNAS/Evaluate
LaNAS/LaNet/CIFAR10
model.py
individual_model.py
model.py
 0:0 
0:0 
0:0 
 view