awslabs / syne-tune
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
  • 6% duplication:
    • 18,589 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 1,253 duplicated lines
  • 86 duplicates
system6% (1,253 lines)
Duplication per Extension
py6% (1,253 lines)
Duplication per Component (primary)
syne_tune/optimizer7% (893 lines)
benchmarking/blackbox_repository9% (95 lines)
syne_tune4% (64 lines)
syne_tune/backend4% (51 lines)
benchmarking/definitions21% (48 lines)
benchmarking/cli4% (44 lines)
benchmarking/nursery7% (25 lines)
benchmarking/training_scripts5% (19 lines)
benchmarking/benchmark_loop6% (14 lines)
benchmarking0% (0 lines)
benchmarking/utils0% (0 lines)
ROOT0% (0 lines)
syne_tune/remote0% (0 lines)
tst/remote_launcher0% (0 lines)
tst/backend0% (0 lines)

Duplication Between Components (50+ lines)

G benchmarking/cli benchmarking/cli syne_tune/backend syne_tune/backend benchmarking/cli--syne_tune/backend 88

Download: SVG DOT (open online Graphviz editor)

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 86 duplicates...
Size#FoldersFilesLinesCode
44 x 2 benchmarking/cli
syne_tune/backend/sagemaker_backend
estimator_factory.py
estimator_factory.py
 19:66 (100%)
19:66 (100%)
 view
33 x 2 syne_tune/optimizer/sche...archers/bayesopt/models
syne_tune/optimizer/sche...archers/bayesopt/models
gp_model.py
gpiss_model.py
 79:115 (13%)
73:115 (14%)
 view
19 x 2 syne_tune
syne_tune
search_space.py
search_space.py
 235:254 (3%)
349:368 (3%)
 view
17 x 2 syne_tune/optimizer/sche...ers/bayesopt/gpautograd
syne_tune/optimizer/sche...t/gpautograd/learncurve
gp_regression.py
gpiss_model.py
 121:140 (16%)
153:172 (14%)
 view
16 x 2 syne_tune/optimizer/sche...esopt/gpautograd/kernel
syne_tune/optimizer/sche...esopt/gpautograd/kernel
exponential_decay.py
freeze_thaw.py
 261:278 (8%)
202:218 (10%)
 view
16 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
gp_multifidelity_searcher.py
gp_sync_multifidelity_searcher.py
 298:313 (14%)
117:132 (19%)
 view
14 x 2 syne_tune/optimizer/sche...t/gpautograd/learncurve
syne_tune/optimizer/sche...t/gpautograd/learncurve
issm.py
issm.py
 427:440 (1%)
887:901 (1%)
 view
14 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
constrained_gp_fifo_searcher.py
cost_aware_gp_fifo_searcher.py
 86:99 (22%)
103:116 (20%)
 view
14 x 2 syne_tune/optimizer/schedulers
syne_tune/optimizer/schedulers
hyperband_promotion.py
hyperband_stopping.py
 236:251 (11%)
123:138 (17%)
 view
13 x 2 syne_tune
syne_tune
search_space.py
search_space.py
 183:197 (2%)
312:326 (2%)
 view
12 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
gp_searcher_factory.py
gp_searcher_factory.py
 422:436 (2%)
476:490 (2%)
 view
11 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
cost_aware_gp_fifo_searcher.py
cost_aware_gp_multifidelity_searcher.py
 110:121 (16%)
117:128 (15%)
 view
11 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
gp_fifo_searcher.py
gp_fifo_searcher.py
 612:623 (2%)
689:700 (2%)
 view
11 x 2 syne_tune/optimizer/sche...t/gpautograd/learncurve
syne_tune/optimizer/sche...ers/bayesopt/gpautograd
likelihood.py
likelihood.py
 66:76 (10%)
48:58 (16%)
 view
10 x 2 syne_tune/optimizer/schedulers
syne_tune/optimizer/schedulers/synchronous
fifo.py
hyperband.py
 199:208 (4%)
198:207 (4%)
 view
9 x 2 syne_tune/optimizer/sche...esopt/gpautograd/kernel
syne_tune/optimizer/sche...esopt/gpautograd/kernel
cross_validation.py
freeze_thaw.py
 157:169 (10%)
225:237 (6%)
 view
9 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
kde_searcher.py
searcher.py
 138:146 (4%)
381:389 (4%)
 view
9 x 2 benchmarking/blackbox_re...version_scripts/scripts
benchmarking/blackbox_re...version_scripts/scripts
icml2020_import.py
icml2020_import.py
 41:50 (13%)
79:88 (13%)
 view
9 x 2 syne_tune/optimizer/sche...esopt/gpautograd/kernel
syne_tune/optimizer/sche...esopt/gpautograd/kernel
cross_validation.py
exponential_decay.py
 157:169 (10%)
288:300 (4%)
 view
9 x 2 syne_tune/optimizer/schedulers/searchers
syne_tune/optimizer/schedulers/searchers
gp_searcher_factory.py
gp_searcher_factory.py
 475:485 (2%)
524:534 (2%)
 view
Duplicated Units
The list of top 5 duplicated units.
See data for all 5 unit duplicates...
Size#FoldersFilesLinesCode
40 x 2 benchmarking/cli
syne_tune/backend/sagemaker_backend
estimator_factory.py
estimator_factory.py
 0:0 
0:0 
 view
15 x 2 syne_tune
syne_tune
search_space.py
search_space.py
 0:0 
0:0 
 view
13 x 2 syne_tune/optimizer/sche...archers/bayesopt/models
syne_tune/optimizer/sche...archers/bayesopt/models
gp_model.py
gpiss_model.py
 0:0 
0:0 
 view
9 x 2 syne_tune/optimizer/sche...ers/bayesopt/gpautograd
syne_tune/optimizer/sche...t/gpautograd/learncurve
likelihood.py
likelihood.py
 0:0 
0:0 
 view
10 x 2 syne_tune/optimizer/sche...t/gpautograd/learncurve
syne_tune/optimizer/sche...ers/bayesopt/gpautograd
gpiss_model.py
gp_regression.py
 0:0 
0:0 
 view