facebookresearch / grounding-inductive-biases
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
  • 25% duplication:
    • 6,160 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 1,541 duplicated lines
  • 149 duplicates
system25% (1,541 lines)
Duplication per Extension
py24% (1,427 lines)
yaml40% (114 lines)
Duplication per Component (primary)
equivariance_measure28% (284 lines)
data_utils61% (265 lines)
per_class_augmentation28% (213 lines)
utils58% (188 lines)
augerino_lib28% (174 lines)
data_augmentation21% (162 lines)
auto_augment22% (75 lines)
image_similarity11% (65 lines)
similarity_search_experiments10% (59 lines)
foreground_variation8% (34 lines)
wordnet_analysis11% (22 lines)
ROOT0% (0 lines)
models0% (0 lines)
minimal_checkpoint_example0% (0 lines)
experiment_utils0% (0 lines)

Duplication Between Components (50+ lines)

G auto_augment auto_augment per_class_augmentation per_class_augmentation auto_augment--per_class_augmentation 122 equivariance_measure equivariance_measure equivariance_measure--per_class_augmentation 107 image_similarity image_similarity similarity_search_experiments similarity_search_experiments image_similarity--similarity_search_experiments 50

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 149 duplicates...
Size#FoldersFilesLinesCode
33 x 2 data_augmentation
data_augmentation
my_training.py
test.py
 119:151 (8%)
66:99 (18%)
 view
33 x 2 utils
utils
mytransforms.py
mytransforms.py
 89:137 (14%)
170:216 (14%)
 view
26 x 2 utils
utils
mytransforms.py
mytransforms.py
 257:295 (11%)
352:390 (11%)
 view
25 x 2 image_similarity
similarity_search_experiments
config.yaml
config.yaml
 14:39 (69%)
23:48 (52%)
 view
24 x 2 utils
utils
mytransforms.py
mytransforms.py
 103:137 (10%)
267:301 (10%)
 view
24 x 2 utils
utils
mytransforms.py
mytransforms.py
 182:216 (10%)
267:301 (10%)
 view
23 x 2 equivariance_measure
equivariance_measure
embedding_alignments.py
embedding_distances.py
 75:103 (11%)
139:167 (8%)
 view
22 x 2 data_utils
data_utils
functions.py
functions_bis.py
 331:355 (6%)
105:129 (21%)
 view
21 x 2 auto_augment
per_class_augmentation
best_policies.py
augmentations.py
 407:439 (6%)
126:158 (8%)
 view
19 x 2 auto_augment
per_class_augmentation
best_policies.py
augmentations.py
 306:324 (6%)
67:85 (8%)
 view
18 x 2 utils
utils
mytransforms.py
mytransforms.py
 103:131 (7%)
362:390 (7%)
 view
18 x 2 utils
utils
mytransforms.py
mytransforms.py
 182:210 (7%)
362:390 (7%)
 view
18 x 2 utils
utils
mytransforms.py
mytransforms.py
 55:87 (7%)
143:165 (7%)
 view
17 x 2 augerino_lib
augerino_lib
uniform_aug.py
uniform_aug.py
 267:284 (5%)
291:308 (5%)
 view
16 x 2 data_utils
data_utils
functions.py
functions.py
 188:203 (4%)
310:325 (4%)
 view
16 x 2 similarity_search_experiments
wordnet_analysis
correlate_rank_with_invariance_gap.py
wordnet_correlation.py
 47:64 (8%)
66:83 (8%)
 view
16 x 2 data_utils
data_utils
functions.py
functions.py
 166:181 (4%)
188:203 (4%)
 view
16 x 2 data_utils
data_utils
functions.py
functions.py
 166:181 (4%)
310:325 (4%)
 view
14 x 2 data_utils
data_utils
functions.py
functions.py
 146:159 (4%)
210:223 (4%)
 view
14 x 2 data_utils
data_utils
functions.py
functions.py
 195:208 (4%)
215:228 (4%)
 view
Duplicated Units
The list of top 12 duplicated units.
See data for all 12 unit duplicates...
Size#FoldersFilesLinesCode
23 x 2 per_class_augmentation
auto_augment
augmentations.py
best_policies.py
 0:0 
0:0 
 view
11 x 2 per_class_augmentation
equivariance_measure
data.py
data.py
 0:0 
0:0 
 view
11 x 2 utils
utils
mytransforms.py
mytransforms.py
 0:0 
0:0 
 view
12 x 2 per_class_augmentation
equivariance_measure
data.py
data.py
 0:0 
0:0 
 view
8 x 2 equivariance_measure
equivariance_measure
embedding_distances.py
embedding_alignments.py
 0:0 
0:0 
 view
7 x 2 per_class_augmentation
per_class_augmentation
data.py
data.py
 0:0 
0:0 
 view
7 x 2 per_class_augmentation
per_class_augmentation
data.py
data.py
 0:0 
0:0 
 view
9 x 2 equivariance_measure
equivariance_measure
embedding_distances.py
embedding_alignments.py
 0:0 
0:0 
 view
7 x 2 equivariance_measure
equivariance_measure
embedding_distances.py
embedding_alignments.py
 0:0 
0:0 
 view
6 x 2 utils
utils
mytransforms.py
mytransforms.py
 0:0 
0:0 
 view
6 x 2 data_augmentation
data_augmentation
hydra_app_local.py
hydra_test_local.py
 0:0 
0:0 
 view
8 x 2 utils
utils
mytransforms.py
mytransforms.py
 0:0 
0:0 
 view