apple / learning-subspaces
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
  • 56% duplication:
    • 5,411 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 3,033 duplicated lines
  • 585 duplicates
system56% (3,033 lines)
Duplication per Extension
py56% (3,033 lines)
Duplication per Component (primary)
models58% (752 lines)
trainers51% (647 lines)
experiment_configs/cifar1097% (465 lines)
experiment_configs/tinyimagenet95% (465 lines)
experiment_configs/imagenet94% (292 lines)
analyze_results/tinyimagenet71% (112 lines)
analyze_results/cifar89% (94 lines)
data47% (90 lines)
ROOT9% (69 lines)
viz11% (47 lines)

Duplication Between Components (50+ lines)

G experiment_configs/cifar10 experiment_configs/cifar10 experiment_configs/tinyimagenet experiment_configs/tinyimagenet experiment_configs/cifar10--experiment_configs/tinyimagenet 747 experiment_configs/imagenet experiment_configs/imagenet experiment_configs/cifar10--experiment_configs/imagenet 412 experiment_configs/imagenet--experiment_configs/tinyimagenet 408 analyze_results/cifar analyze_results/cifar analyze_results/tinyimagenet analyze_results/tinyimagenet analyze_results/cifar--analyze_results/tinyimagenet 206

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Longest Duplicates
The list of 20 longest duplicates.
See data for all 585 duplicates...
Size#FoldersFilesLinesCode
78 x 2 analyze_results/cifar
analyze_results/tinyimagenet
one_dimensional_subspaces.py
one_dimensional_subspaces.py
 23:107 (74%)
23:107 (74%)
 view
49 x 2 experiment_configs/tinyi...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines.py
eval_lines_layerwise.py
 44:97 (65%)
43:96 (66%)
 view
49 x 2 experiment_configs/tinyi...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_curves.py
eval_lines.py
 43:96 (66%)
44:97 (65%)
 view
49 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/cifar...e_dimensional_subspaces
eval_curves.py
eval_lines_layerwise.py
 42:95 (67%)
42:95 (67%)
 view
49 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/cifar...e_dimensional_subspaces
eval_lines.py
eval_lines_layerwise.py
 42:95 (67%)
42:95 (67%)
 view
49 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/cifar...e_dimensional_subspaces
eval_curves.py
eval_lines.py
 42:95 (67%)
42:95 (67%)
 view
49 x 2 experiment_configs/tinyi...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_curves.py
eval_lines_layerwise.py
 43:96 (66%)
43:96 (66%)
 view
47 x 2 experiment_configs/image...e_dimensional_subspaces
experiment_configs/image...e_dimensional_subspaces
eval_lines.py
eval_lines_layerwise.py
 45:96 (63%)
45:96 (63%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_curves.py
eval_lines_layerwise.py
 52:95 (57%)
53:96 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_curves.py
eval_curves.py
 52:95 (57%)
53:96 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines_layerwise.py
eval_lines_layerwise.py
 52:95 (57%)
53:96 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines_layerwise.py
eval_lines.py
 52:95 (57%)
54:97 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines_layerwise.py
eval_curves.py
 52:95 (57%)
53:96 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_curves.py
eval_lines.py
 52:95 (57%)
54:97 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines.py
eval_lines.py
 52:95 (57%)
54:97 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines.py
eval_lines_layerwise.py
 52:95 (57%)
53:96 (56%)
 view
42 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/tinyi...e_dimensional_subspaces
eval_lines.py
eval_curves.py
 52:95 (57%)
53:96 (56%)
 view
39 x 2 trainers
trainers
eval_one_dim_subspaces.py
linestats_swa.py
 61:107 (54%)
96:142 (37%)
 view
31 x 2 trainers
trainers
random_average_weights_global.py
random_average_weights_layerwise.py
 34:78 (68%)
33:77 (68%)
 view
29 x 2 experiment_configs/cifar...e_dimensional_subspaces
experiment_configs/image...e_dimensional_subspaces
eval_curves.py
eval_lines_layerwise.py
 62:90 (39%)
65:93 (39%)
 view
Duplicated Units
The list of top 6 duplicated units.
See data for all 6 unit duplicates...
Size#FoldersFilesLinesCode
13 x 2 models
models
cifar_resnet.py
cifar_resnet_dropout.py
 0:0 
0:0 
 view
10 x 2 experiment_configs/cifar10/ensembles
experiment_configs/imagenet/ensembles
eval_ensembles.py
eval_ensembles.py
 0:0 
0:0 
 view
9 x 2 models
models
modules.py
modules_gen.py
 0:0 
0:0 
 view
8 x 2 models
models
builder.py
builder.py
 0:0 
0:0 
 view
7 x 2 models
models
resnet.py
resnet.py
 0:0 
0:0 
 view
7 x 2 models
models
tinyimagenetresnet.py
tinyimagenetresnet.py
 0:0 
0:0 
 view