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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.

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Duplication Overall

42% duplication:

4,305 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,829 duplicated lines

258 duplicates

Duplication per Extension

Duplication per Component (primary)

Duplication Between Components (50+ lines)

Download: SVG DOT (open online Graphviz editor)

From Component --> To Component	Duplicated Lines	File Pairs	Details
configs/cifar10 (96%) --> configs/mnist (54%)	477	19 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 258 duplicates...

Size	#	Folders	Files	Lines	Code
59	x 2	configs/cifar10 configs/cifar10	agg_ensemble_vgg.yaml kensemble_vgg.yaml	24:96 (75%) 24:96 (75%)	view
46	x 2	crlapi/sl/clmodels crlapi/sl/clmodels	bagging.py k_ensemble.py	128:193 (32%) 101:167 (34%)	view
37	x 2	configs/mnist configs/mnist	agg_ensemble.yaml kensemble.yaml	46:89 (52%) 46:89 (52%)	view
36	x 2	configs/mnist configs/mnist	bagging.yaml ensemble_ensemble.yaml	45:87 (51%) 44:86 (52%)	view
36	x 2	configs/mnist configs/mnist	boosting.yaml ensemble_ensemble.yaml	45:87 (50%) 44:86 (52%)	view
36	x 2	configs/mnist configs/mnist	bagging.yaml boosting.yaml	45:87 (51%) 45:87 (50%)	view
29	x 2	configs/cifar10 configs/mnist	agg_ensemble_vgg.yaml kensemble.yaml	63:96 (37%) 56:89 (40%)	view
29	x 2	configs/cifar10 configs/mnist	agg_ensemble_vgg.yaml agg_ensemble.yaml	63:96 (37%) 56:89 (40%)	view
29	x 2	configs/cifar10 configs/mnist	kensemble_vgg.yaml kensemble.yaml	63:96 (37%) 56:89 (40%)	view
29	x 2	configs/cifar10 configs/mnist	kensemble_vgg.yaml agg_ensemble.yaml	63:96 (37%) 56:89 (40%)	view
29	x 2	crlapi/sl/clmodels crlapi/sl/clmodels	adaboost.py debug_ensemble.py	154:192 (20%) 107:146 (29%)	view
28	x 2	crlapi/sl/clmodels crlapi/sl/clmodels	debug_ensemble.py ensemble.py	92:133 (28%) 124:163 (22%)	view
28	x 2	crlapi/sl/architectures crlapi/sl/architectures	mixture_model.py mixture_model.py	103:134 (14%) 164:195 (14%)	view
27	x 2	crlapi/sl/clmodels crlapi/sl/clmodels	finetune_grow.py firefly.py	86:125 (30%) 111:150 (10%)	view
26	x 2	configs/cifar10 configs/mnist	agg_ensemble_vgg.yaml ensemble.yaml	66:96 (33%) 56:86 (37%)	view
26	x 2	configs/mnist configs/mnist	agg_ensemble.yaml ensemble.yaml	59:89 (36%) 56:86 (37%)	view
26	x 2	configs/cifar10 configs/mnist	kensemble_vgg.yaml ensemble.yaml	66:96 (33%) 56:86 (37%)	view
26	x 2	configs/mnist configs/mnist	ensemble.yaml kensemble.yaml	56:86 (37%) 59:89 (36%)	view
25	x 2	configs/cifar10 configs/mnist	transfer_subnet_vgg.yaml bagging.yaml	62:93 (33%) 58:87 (35%)	view
25	x 2	configs/cifar10 configs/mnist	transfer_subnet_vgg.yaml boosting.yaml	62:93 (33%) 58:87 (35%)	view

Duplicated Units

The list of top 5 duplicated units.

See data for all 5 unit duplicates...

Size	#	Folders	Files	Lines	Code
15	x 2	crlapi/sl/clmodels crlapi/sl/clmodels	boosting.py ensemble.py	0:0 0:0	view
13	x 2	crlapi/sl/architectures crlapi/sl/architectures	mixture_model.py mixture_model.py	0:0 0:0	view
10	x 2	crlapi/sl/architectures crlapi/sl/architectures	mixture_model.py mixture_model.py	0:0 0:0	view
9	x 2	configs/mnist configs/cifar10	run.py run.py	0:0 0:0	view
6	x 3	crlapi/sl/clmodels crlapi/sl/clmodels crlapi/sl/clmodels	firefly.py finetune_grow.py finetune.py	0:0 0:0 0:0	view