facebookresearch / pytorch_GAN_zoo
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
  • 3% duplication:
    • 4,474 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 162 duplicated lines
  • 9 duplicates
system3% (162 lines)
Duplication per Extension
py3% (162 lines)
Duplication per Component (primary)
models/eval12% (96 lines)
models/networks6% (38 lines)
models/loss_criterions9% (28 lines)
visualization0% (0 lines)
ROOT0% (0 lines)
models/metrics0% (0 lines)
models0% (0 lines)
models/datasets0% (0 lines)
models/UTs0% (0 lines)
models/utils0% (0 lines)
models/trainer0% (0 lines)
Longest Duplicates
The list of 9 longest duplicates.
See data for all 9 duplicates...
Size#FoldersFilesLinesCode
31 x 2 models/eval
models/eval
inception.py
laplacian_SWD.py
27:66 (49%)
36:75 (28%)
view
8 x 2 models/networks
models/networks
progressive_conv_net.py
styleGAN.py
137:153 (4%)
105:121 (5%)
view
7 x 2 models/eval
models/eval
inspirational_generation.py
nn_metric.py
320:329 (2%)
42:50 (8%)
view
7 x 2 models/networks
models/networks
progressive_conv_net.py
progressive_conv_net.py
133:147 (3%)
302:316 (3%)
view
7 x 2 models/eval
models/eval
laplacian_SWD.py
nn_metric.py
25:33 (6%)
46:54 (8%)
view
7 x 2 models/eval
models/eval
inception.py
laplacian_SWD.py
15:24 (11%)
20:29 (6%)
view
7 x 2 models/loss_criterions
models/loss_criterions
base_loss_criterions.py
base_loss_criterions.py
55:68 (13%)
74:86 (13%)
view
7 x 2 models/loss_criterions
models/loss_criterions
base_loss_criterions.py
base_loss_criterions.py
36:47 (13%)
92:104 (13%)
view
6 x 2 models/networks
models/networks
styleGAN.py
styleGAN.py
128:134 (4%)
136:141 (4%)
view
Duplicated Units
The list of top 1 duplicated units.
See data for all 1 unit duplicate
Size#FoldersFilesLinesCode
11 x 2 models/networks
models/networks
progressive_conv_net.py
styleGAN.py
0:0 
0:0 
view