facebookresearch / PointContrast
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
  • 35% duplication:
    • 13,048 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 4,656 duplicated lines
  • 720 duplicates
system35% (4,656 lines)
Duplication per Extension
py37% (4,495 lines)
cu14% (66 lines)
m25% (42 lines)
cpp16% (34 lines)
yaml6% (19 lines)
Duplication per Component (primary)
downstream/votenet_det_new/models43% (1,770 lines)
downstream/semseg/models95% (1,153 lines)
pretrain/pointcontrast/model92% (564 lines)
downstream/votenet_det_new/lib19% (524 lines)
downstream/semseg/lib21% (453 lines)
pretrain/pointcontrast/lib17% (160 lines)
downstream/semseg/config8% (13 lines)
downstream/votenet_det_new6% (7 lines)
pretrain/data_preprocess/scannet_pair<1% (6 lines)
downstream/votenet_det_new/config9% (6 lines)
downstream/semseg0% (0 lines)
pretrain/pointcontrast/config0% (0 lines)
pretrain/pointcontrast0% (0 lines)

Duplication Between Components (50+ lines)

G downstream/semseg/models downstream/semseg/models downstream/votenet_det_new/models downstream/votenet_det_new/models downstream/semseg/models--downstream/votenet_det_new/models 2314 pretrain/pointcontrast/model pretrain/pointcontrast/model downstream/semseg/models--pretrain/pointcontrast/model 1314 downstream/votenet_det_new/models--pretrain/pointcontrast/model 1347 downstream/semseg/lib downstream/semseg/lib downstream/semseg/lib--downstream/votenet_det_new/models 264 downstream/votenet_det_new/lib downstream/votenet_det_new/lib downstream/semseg/lib--downstream/votenet_det_new/lib 260 pretrain/pointcontrast/lib pretrain/pointcontrast/lib downstream/semseg/lib--pretrain/pointcontrast/lib 144

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 720 duplicates...
Size#FoldersFilesLinesCode
411 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 17:542 (100%)
17:542 (100%)
 view
247 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
res16unet.py
res16unet.py
 48:381 (90%)
47:380 (91%)
 view
166 x 2 downstream/semseg/models
pretrain/pointcontrast/model
res16unet.py
res16unet.py
 44:225 (61%)
47:228 (73%)
 view
164 x 2 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
common.py
common.py
 13:218 (100%)
13:218 (100%)
 view
162 x 2 downstream/votenet_det_n...kbone/sparseconv/models
pretrain/pointcontrast/model
res16unet.py
res16unet.py
 47:224 (59%)
51:228 (72%)
 view
155 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resnet.py
resnet.py
 15:221 (100%)
15:221 (100%)
 view
151 x 2 downstream/semseg/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
 28:218 (92%)
24:214 (93%)
 view
151 x 2 downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
 28:218 (92%)
24:214 (93%)
 view
130 x 2 downstream/semseg/lib
downstream/votenet_det_new/lib/utils
distributed_utils.py
distributed_utils.py
 18:190 (100%)
18:190 (100%)
 view
93 x 2 downstream/votenet_det_n...kbone/sparseconv/models
pretrain/pointcontrast/model
resnet.py
resnet.py
 43:144 (60%)
53:154 (76%)
 view
93 x 2 downstream/semseg/models
pretrain/pointcontrast/model
resnet.py
resnet.py
 43:144 (60%)
53:154 (76%)
 view
89 x 2 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
resnet_block.py
resnet_block.py
 13:134 (100%)
13:134 (100%)
 view
83 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 18:113 (20%)
276:371 (20%)
 view
83 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 276:371 (20%)
18:113 (20%)
 view
83 x 2 downstream/semseg/models
downstream/semseg/models
resunet.py
resunet.py
 18:113 (20%)
276:371 (20%)
 view
83 x 2 downstream/votenet_det_n...kbone/sparseconv/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 18:113 (20%)
276:371 (20%)
 view
55 x 2 downstream/semseg/lib
downstream/votenet_det_n...els/backbone/sparseconv
voxelizer.py
voxelizer.py
 14:95 (51%)
14:95 (37%)
 view
42 x 2 downstream/semseg/models/modules
pretrain/pointcontrast/model/modules
resnet_block.py
resnet_block.py
 13:64 (47%)
13:63 (51%)
 view
42 x 2 downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
resnet_block.py
resnet_block.py
 13:64 (47%)
13:63 (51%)
 view
40 x 2 downstream/semseg/lib
downstream/votenet_det_n...backbone/sparseconv/lib
math_functions.py
math_functions.py
 10:75 (100%)
10:75 (100%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 39 unit duplicates...
Size#FoldersFilesLinesCode
134 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 0:0 
0:0 
 view
130 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 0:0 
0:0 
 view
42 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resnet.py
resnet.py
 0:0 
0:0 
 view
44 x 2 downstream/semseg/lib
downstream/votenet_det_new/lib/utils
distributed_utils.py
distributed_utils.py
 0:0 
0:0 
 view
45 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
res16unet.py
res16unet.py
 0:0 
0:0 
 view
40 x 3 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
pretrain/pointcontrast/model
resnet.py
resnet.py
resnet.py
 0:0 
0:0 
0:0 
 view
47 x 2 downstream/semseg/lib
downstream/votenet_det_new/lib/utils
distributed_utils.py
distributed_utils.py
 0:0 
0:0 
 view
42 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
common.py
 0:0 
0:0 
0:0 
 view
34 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 0:0 
0:0 
 view
32 x 2 downstream/semseg/models
downstream/votenet_det_n...kbone/sparseconv/models
resunet.py
resunet.py
 0:0 
0:0 
 view
25 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
common.py
 0:0 
0:0 
0:0 
 view
24 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
resnet_block.py
resnet_block.py
resnet_block.py
 0:0 
0:0 
0:0 
 view
23 x 2 downstream/semseg/lib
downstream/votenet_det_new/lib/utils
distributed_utils.py
distributed_utils.py
 0:0 
0:0 
 view
29 x 2 downstream/semseg/lib
downstream/votenet_det_n...els/backbone/sparseconv
voxelizer.py
voxelizer.py
 0:0 
0:0 
 view
20 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
common.py
 0:0 
0:0 
0:0 
 view
18 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
resnet_block.py
resnet_block.py
resnet_block.py
 0:0 
0:0 
0:0 
 view
17 x 2 downstream/semseg/lib
pretrain/pointcontrast/lib
dataloader.py
data_sampler.py
 0:0 
0:0 
 view
15 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
common.py
common.py
common.py
 0:0 
0:0 
0:0 
 view
14 x 3 downstream/semseg/models/modules
downstream/votenet_det_n...arseconv/models/modules
pretrain/pointcontrast/model/modules
resnet_block.py
resnet_block.py
resnet_block.py
 0:0 
0:0 
0:0 
 view
26 x 2 downstream/semseg/lib
downstream/votenet_det_n...els/backbone/sparseconv
voxelizer.py
voxelizer.py
 0:0 
0:0 
 view