facebookresearch / PyTouch
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
  • 30% duplication:
    • 2,794 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 846 duplicated lines
  • 18 duplicates
system30% (846 lines)
Duplication per Extension
py32% (794 lines)
yaml60% (52 lines)
Duplication per Component (primary)
train/models93% (361 lines)
pytouch/models59% (317 lines)
pytouch/datasets28% (84 lines)
train/config66% (52 lines)
train/datamodules29% (32 lines)
website0% (0 lines)
website/src0% (0 lines)
pytouch/sensors0% (0 lines)
pytouch/tasks0% (0 lines)
pytouch0% (0 lines)
pytouch/utils0% (0 lines)
pytouch/common0% (0 lines)
pytouch/handlers0% (0 lines)
ROOT0% (0 lines)
train0% (0 lines)

Duplication Between Components (50+ lines)

G pytouch/models pytouch/models train/models train/models pytouch/models--train/models 562

Download: SVG DOT (open online Graphviz editor)

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Show more details on duplication between components...
Longest Duplicates
The list of 18 longest duplicates.
See data for all 18 duplicates...
Size#FoldersFilesLinesCode
281 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 8:413 (100%)
8:413 (100%)
 view
40 x 2 train/models
train/models
slip_detect.py
touch_detect.py
 17:64 (78%)
23:70 (74%)
 view
26 x 2 train/config/task
train/config/task
slip_detect.yaml
touch_detect.yaml
 15:40 (68%)
14:39 (68%)
 view
16 x 2 train/datamodules
train/datamodules
slip_detect.py
touch_detect.py
 55:71 (30%)
62:78 (28%)
 view
15 x 2 pytouch/datasets
pytouch/datasets
slip_sequence.py
slip_sequence.py
 54:68 (12%)
111:125 (12%)
 view
12 x 2 pytouch/models
pytouch/models
slip_resnet.py
slip_resnet.py
 56:68 (4%)
106:118 (4%)
 view
12 x 2 train/models
train/models
slip_resnet.py
slip_resnet.py
 56:68 (4%)
106:118 (4%)
 view
12 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 106:118 (4%)
56:68 (4%)
 view
12 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 56:68 (4%)
106:118 (4%)
 view
11 x 2 pytouch/datasets
pytouch/datasets
slip_sequence.py
slip_sequence.py
 94:107 (9%)
139:151 (9%)
 view
10 x 2 pytouch/models
pytouch/models
slip_detect.py
touch_detect.py
 20:32 (34%)
23:35 (26%)
 view
10 x 2 pytouch/datasets
pytouch/datasets
digit.py
sensors.py
 55:64 (18%)
79:88 (13%)
 view
9 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 82:93 (3%)
131:142 (3%)
 view
9 x 2 train/models
train/models
slip_resnet.py
slip_resnet.py
 82:93 (3%)
131:142 (3%)
 view
9 x 2 pytouch/models
pytouch/models
slip_resnet.py
slip_resnet.py
 82:93 (3%)
131:142 (3%)
 view
9 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 131:142 (3%)
82:93 (3%)
 view
8 x 2 pytouch/models
pytouch/models
slip_detect.py
touch_detect.py
 34:42 (27%)
42:50 (21%)
 view
6 x 2 pytouch/datasets
pytouch/datasets
digit.py
sensors.py
 79:86 (10%)
113:120 (8%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 21 unit duplicates...
Size#FoldersFilesLinesCode
37 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
20 x 2 train/models
train/models
slip_detect.py
touch_detect.py
 0:0 
0:0 
 view
18 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
14 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
12 x 2 train/models
train/models
slip_detect.py
touch_detect.py
 0:0 
0:0 
 view
11 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
11 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
9 x 2 pytouch/datasets
pytouch/datasets
slip_sequence.py
slip_sequence.py
 0:0 
0:0 
 view
9 x 3 pytouch/models
pytouch/models
train/models
slip_resnet.py
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
0:0 
 view
9 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
7 x 2 train/datamodules
train/datamodules
slip_detect.py
touch_detect.py
 0:0 
0:0 
 view
7 x 2 train/datamodules
train/datamodules
slip_detect.py
touch_detect.py
 0:0 
0:0 
 view
11 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
11 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
14 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
14 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
9 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
9 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
7 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view
7 x 2 pytouch/models
train/models
slip_resnet.py
slip_resnet.py
 0:0 
0:0 
 view