microsoft / NeuronBlocks
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
  • 16% duplication:
    • 7,388 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 1,204 duplicated lines
  • 245 duplicates
system16% (1,204 lines)
Duplication per Extension
py16% (1,204 lines)
Duplication per Component (primary)
block_zoo19% (536 lines)
ROOT13% (334 lines)
model_visualizer72% (178 lines)
tools34% (46 lines)
metrics6% (32 lines)
autotest36% (28 lines)
dataset23% (24 lines)
losses9% (14 lines)
utils1% (12 lines)
core0% (0 lines)
optimizers0% (0 lines)
preparation0% (0 lines)

Duplication Between Components (50+ lines)

G autotest autotest tools tools autotest--tools 56

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Longest Duplicates
The list of 20 longest duplicates.
See data for all 245 duplicates...
Size#FoldersFilesLinesCode
89 x 2 model_visualizer
model_visualizer/server
get_model_graph.py
mv.py
 18:113 (83%)
14:109 (92%)
 view
26 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 696:725 (3%)
807:836 (3%)
 view
20 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 446:468 (2%)
693:714 (2%)
 view
20 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 246:265 (2%)
546:565 (2%)
 view
18 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 450:468 (2%)
807:825 (2%)
 view
16 x 2 autotest/tools
tools
calculate_AUC.py
calculate_auc.py
 15:33 (45%)
14:32 (44%)
 view
16 x 2 ROOT
ROOT
problem.py
problem.py
 523:541 (2%)
560:578 (2%)
 view
14 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 246:259 (1%)
755:768 (1%)
 view
14 x 2 block_zoo/attentions
block_zoo/op
MatchAttention.py
Match.py
 52:79 (37%)
51:78 (36%)
 view
14 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 546:559 (1%)
755:768 (1%)
 view
14 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 150:165 (1%)
442:458 (1%)
 view
13 x 2 ROOT
ROOT
LearningMachine.py
LearningMachine.py
 747:760 (1%)
858:871 (1%)
 view
13 x 2 block_zoo
block_zoo/encoder_decoder
BiLSTM.py
SLUEncoder.py
 24:38 (32%)
29:43 (22%)
 view
13 x 2 block_zoo
block_zoo/encoder_decoder
BiLSTMAtt.py
SLUEncoder.py
 25:39 (23%)
29:43 (22%)
 view
13 x 2 block_zoo
block_zoo
BiLSTM.py
BiLSTMAtt.py
 24:38 (32%)
25:39 (23%)
 view
12 x 2 ROOT
ROOT
predict.py
test.py
 78:91 (17%)
64:77 (24%)
 view
12 x 2 autotest/tools
tools
calculate_AUC.py
calculate_auc.py
 35:49 (34%)
34:48 (33%)
 view
11 x 2 block_zoo
block_zoo
BiLSTM.py
BiLSTMLast.py
 24:36 (27%)
23:35 (28%)
 view
11 x 2 block_zoo/math
block_zoo/math
ElementWisedMultiply2D.py
Minus2D.py
 26:37 (33%)
31:42 (28%)
 view
11 x 2 block_zoo/math
block_zoo/math
Add2D.py
ElementWisedMultiply2D.py
 26:37 (33%)
26:37 (33%)
 view