microsoft / recommenders
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
  • 26% duplication:
    • 16,622 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 4,453 duplicated lines
  • 450 duplicates
system26% (4,453 lines)
Duplication per Extension
py25% (3,937 lines)
yaml64% (496 lines)
scala21% (20 lines)
Duplication per Component (primary)
recommenders/models30% (3,075 lines)
contrib/azureml_designer_modules51% (521 lines)
recommenders/evaluation33% (447 lines)
recommenders/datasets11% (236 lines)
recommenders/tuning26% (104 lines)
contrib/sarplus4% (28 lines)
recommenders/utils3% (22 lines)
tools3% (12 lines)
recommenders80% (8 lines)
ROOT0% (0 lines)

Duplication Between Components (50+ lines)

G contrib/azureml_designer_modules contrib/azureml_designer_modules recommenders/evaluation recommenders/evaluation contrib/azureml_designer_modules--recommenders/evaluation 64

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 450 duplicates...
Size#FoldersFilesLinesCode
142 x 2 recommenders/models/deeprec/models/sequential
recommenders/models/deeprec/models/sequential
rnn_cell_implement.py
rnn_cell_implement.py
 133:290 (26%)
389:546 (26%)
 view
65 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 348:457 (25%)
310:416 (28%)
 view
61 x 2 recommenders/models/deeprec/models/sequential
recommenders/models/deeprec/models/sequential
rnn_cell_implement.py
rnn_cell_implement.py
 64:129 (11%)
319:384 (11%)
 view
59 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 16:182 (22%)
17:182 (25%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
map_entry.py
precision_at_k_entry.py
 8:68 (72%)
8:68 (72%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
precision_at_k_entry.py
recall_at_k_entry.py
 8:68 (72%)
8:68 (72%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
ndcg_entry.py
recall_at_k_entry.py
 8:68 (72%)
8:68 (72%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
map_entry.py
recall_at_k_entry.py
 8:68 (72%)
8:68 (72%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
ndcg_entry.py
precision_at_k_entry.py
 8:68 (72%)
8:68 (72%)
 view
53 x 2 contrib/azureml_designer_modules/entries
contrib/azureml_designer_modules/entries
map_entry.py
ndcg_entry.py
 8:68 (72%)
8:68 (72%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
ndcg.yaml
precision_at_k.yaml
 8:57 (71%)
7:56 (72%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
map.yaml
recall_at_k.yaml
 7:56 (72%)
7:56 (72%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
ndcg.yaml
recall_at_k.yaml
 8:57 (71%)
7:56 (72%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
map.yaml
precision_at_k.yaml
 7:56 (72%)
7:56 (72%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
map.yaml
ndcg.yaml
 7:56 (72%)
8:57 (71%)
 view
50 x 2 contrib/azureml_designer_modules/module_specs
contrib/azureml_designer_modules/module_specs
precision_at_k.yaml
recall_at_k.yaml
 7:56 (72%)
7:56 (72%)
 view
41 x 2 recommenders/models/newsrec/io
recommenders/models/newsrec/io
mind_all_iterator.py
mind_iterator.py
 130:196 (10%)
103:167 (14%)
 view
36 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 195:262 (13%)
188:255 (15%)
 view
32 x 2 recommenders/models/deeprec/models/sequential
recommenders/models/deeprec/models/sequential
sum_cells.py
sum_cells.py
 193:228 (11%)
331:366 (11%)
 view
31 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 468:530 (11%)
426:491 (13%)
 view
Duplicated Units
The list of top 16 duplicated units.
See data for all 16 unit duplicates...
Size#FoldersFilesLinesCode
51 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view
51 x 2 recommenders/models/vae
recommenders/models/vae
standard_vae.py
multinomial_vae.py
 0:0 
0:0 
 view
16 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view
13 x 2 contrib/sarplus/scala/sr...a/com/microsoft/sarplus
contrib/sarplus/scala/sr...a/com/microsoft/sarplus
SARCacheOutputWriter.scala
SARCacheOutputWriter.scala
 46:63 
66:83 
 view
13 x 2 recommenders/models/deeprec/models/sequential
recommenders/models/deeprec/models/sequential
rnn_cell_implement.py
rnn_cell_implement.py
 0:0 
0:0 
 view
12 x 2 recommenders/models/deeprec/io
recommenders/models/deeprec/io
nextitnet_iterator.py
sequential_iterator.py
 0:0 
0:0 
 view
18 x 2 recommenders/models/newsrec/io
recommenders/models/newsrec/io
mind_all_iterator.py
mind_iterator.py
 0:0 
0:0 
 view
9 x 2 recommenders/evaluation
recommenders/evaluation
python_evaluation.py
python_evaluation.py
 0:0 
0:0 
 view
9 x 2 recommenders/evaluation
recommenders/evaluation
python_evaluation.py
python_evaluation.py
 0:0 
0:0 
 view
10 x 2 recommenders/models/geoimc
recommenders/models/rlrmc
geoimc_algorithm.py
RLRMCalgorithm.py
 0:0 
0:0 
 view
23 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view
7 x 2 recommenders/models/newsrec/models
recommenders/models/newsrec/models
lstur.py
npa.py
 0:0 
0:0 
 view
22 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view
6 x 2 recommenders/evaluation
recommenders/evaluation
python_evaluation.py
python_evaluation.py
 0:0 
0:0 
 view
6 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view
14 x 2 recommenders/models/vae
recommenders/models/vae
multinomial_vae.py
standard_vae.py
 0:0 
0:0 
 view