facebookresearch / fastMRI
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
  • 27% duplication:
    • 6,845 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 1,882 duplicated lines
  • 195 duplicates
system27% (1,882 lines)
Duplication per Extension
py27% (1,882 lines)
Duplication per Component (primary)
banding_removal/fastmri17% (612 lines)
fastmri_examples/unet90% (554 lines)
fastmri_examples/varnet90% (434 lines)
fastmri/pl_modules11% (75 lines)
fastmri/data9% (67 lines)
banding_removal/scripts72% (62 lines)
fastmri/models11% (32 lines)
fastmri11% (28 lines)
fastmri_examples/cs4% (9 lines)
fastmri_examples/zero_filled20% (9 lines)
fastmri_examples0% (0 lines)
ROOT0% (0 lines)

Duplication Between Components (50+ lines)

G fastmri_examples/unet fastmri_examples/unet fastmri_examples/varnet fastmri_examples/varnet fastmri_examples/unet--fastmri_examples/varnet 832

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Longest Duplicates
The list of 20 longest duplicates.
See data for all 195 duplicates...
Size#FoldersFilesLinesCode
88 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 16:134 (58%)
16:134 (59%)
 view
54 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
resnet_r1_prev.py
resnet_r1_simple.py
 49:128 (72%)
35:114 (84%)
 view
48 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
unet_knee_mc_leaderboard.py
unet_knee_sc_leaderboard.py
 19:91 (37%)
19:91 (37%)
 view
46 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
unet_brain_leaderboard.py
unet_knee_sc_leaderboard.py
 19:87 (36%)
19:87 (36%)
 view
46 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 136:190 (30%)
136:190 (30%)
 view
46 x 2 fastmri_examples/varnet/varnet_reproduce_20201111
fastmri_examples/varnet/varnet_reproduce_20201111
varnet_brain_leaderboard.py
varnet_knee_leaderboard.py
 19:87 (36%)
19:87 (36%)
 view
46 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
unet_brain_leaderboard.py
unet_knee_mc_leaderboard.py
 19:87 (36%)
19:87 (36%)
 view
45 x 2 fastmri_examples/varnet/varnet_reproduce_20201111
fastmri_examples/varnet/varnet_reproduce_20201111
varnet_brain_leaderboard.py
varnet_knee_leaderboard.py
 132:195 (35%)
132:195 (35%)
 view
45 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
unet_brain_leaderboard.py
unet_knee_mc_leaderboard.py
 130:193 (36%)
132:195 (35%)
 view
38 x 2 fastmri_examples/unet
fastmri_examples/varnet
train_unet_demo.py
train_varnet_demo.py
 136:190 (31%)
142:196 (29%)
 view
37 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
resnet_r1.py
resnet_r1_simple.py
 80:131 (48%)
63:114 (57%)
 view
37 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
resnet_r1.py
resnet_r1_prev.py
 80:131 (48%)
77:128 (50%)
 view
36 x 2 fastmri_examples/unet
fastmri_examples/varnet
run_pretrained_unet_inference.py
run_pretrained_varnet_inference.py
 128:165 (31%)
113:150 (36%)
 view
36 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_brain_leaderboard.py
varnet_brain_leaderboard.py
 94:133 (28%)
96:135 (28%)
 view
33 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_knee_mc_leaderboard.py
varnet_knee_leaderboard.py
 146:195 (25%)
146:195 (25%)
 view
33 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_brain_leaderboard.py
varnet_knee_leaderboard.py
 144:193 (26%)
146:195 (25%)
 view
33 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_brain_leaderboard.py
varnet_brain_leaderboard.py
 144:193 (26%)
146:195 (25%)
 view
33 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_knee_mc_leaderboard.py
varnet_brain_leaderboard.py
 146:195 (25%)
146:195 (25%)
 view
32 x 2 fastmri_examples/varnet/varnet_reproduce_20201111
fastmri_examples/varnet/varnet_reproduce_20201111
varnet_brain_leaderboard.py
varnet_knee_leaderboard.py
 93:130 (25%)
93:130 (25%)
 view
31 x 2 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/varnet/varnet_reproduce_20201111
unet_brain_leaderboard.py
varnet_knee_leaderboard.py
 94:128 (24%)
96:130 (24%)
 view
Duplicated Units
The list of top 10 duplicated units.
See data for all 10 unit duplicates...
Size#FoldersFilesLinesCode
54 x 3 fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
fastmri_examples/unet/unet_reproduce_20201111.py
unet_brain_leaderboard.py
unet_knee_mc_leaderboard.py
unet_knee_sc_leaderboard.py
 0:0 
0:0 
0:0 
 view
54 x 2 fastmri_examples/varnet/varnet_reproduce_20201111
fastmri_examples/varnet/varnet_reproduce_20201111
varnet_brain_leaderboard.py
varnet_knee_leaderboard.py
 0:0 
0:0 
 view
20 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 0:0 
0:0 
 view
19 x 3 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
resnet_r1.py
resnet_r1_prev.py
resnet_r1_simple.py
 0:0 
0:0 
0:0 
 view
16 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 0:0 
0:0 
 view
15 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 0:0 
0:0 
 view
14 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 0:0 
0:0 
 view
11 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
torchvision_resnet.py
unpooled_resnet.py
 0:0 
0:0 
 view
10 x 2 banding_removal/fastmri/model/classifiers
banding_removal/fastmri/model/classifiers
resnet_r1_prev.py
resnet_r1_simple.py
 0:0 
0:0 
 view
8 x 2 fastmri
fastmri/data
math.py
transforms.py
 0:0 
0:0 
 view