GoogleCloudPlatform / clearbox

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

15% duplication:

1,039 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
160 duplicated lines

23 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 23 longest duplicates.

See data for all 23 duplicates...

Size	#	Folders	Files	Lines	Code
19	x 2	clearbox/models clearbox/models	probabilistic.py probabilistic.py	295:335 (9%) 454:499 (9%)	view
8	x 2	clearbox/models clearbox/models	brute_force.py probabilistic.py	89:111 (13%) 426:448 (4%)	view
8	x 2	clearbox clearbox	training.py training.py	287:294 (3%) 438:445 (3%)	view
7	x 2	clearbox/metrics clearbox/metrics	average.py recall.py	53:75 (28%) 72:94 (10%)	view
7	x 2	clearbox/models clearbox/models	brute_force.py probabilistic.py	55:68 (11%) 339:371 (3%)	view
7	x 2	clearbox/metrics clearbox/metrics	auroc.py average.py	29:48 (58%) 53:75 (28%)	view
7	x 2	clearbox/metrics clearbox/metrics	auroc.py ndcg.py	29:48 (58%) 53:73 (21%)	view
7	x 2	clearbox/metrics clearbox/metrics	average.py ndcg.py	53:75 (28%) 53:73 (21%)	view
7	x 2	clearbox/metrics clearbox/metrics	auroc.py recall.py	29:48 (58%) 72:94 (10%)	view
7	x 2	clearbox/metrics clearbox/metrics	ndcg.py recall.py	53:73 (21%) 72:94 (10%)	view
6	x 2	clearbox/models clearbox	brute_force.py training.py	55:60 (10%) 169:174 (2%)	view
6	x 2	clearbox/metrics clearbox/metrics	base.py recall.py	32:37 (24%) 72:77 (9%)	view
6	x 2	clearbox/metrics clearbox/metrics	auroc.py base.py	29:34 (50%) 32:37 (24%)	view
6	x 2	clearbox/models clearbox/models	base.py brute_force.py	31:36 (31%) 55:60 (10%)	view
6	x 2	clearbox/metrics clearbox/metrics	average.py base.py	53:58 (24%) 32:37 (24%)	view
6	x 2	clearbox/models clearbox	base.py training.py	31:36 (31%) 169:174 (2%)	view
6	x 2	clearbox/models clearbox/models	probabilistic.py probabilistic.py	173:178 (3%) 268:273 (3%)	view
6	x 2	clearbox/models clearbox/models	probabilistic.py probabilistic.py	173:178 (3%) 225:230 (3%)	view
6	x 2	clearbox/metrics clearbox/metrics	base.py ndcg.py	32:37 (24%) 53:58 (18%)	view
6	x 2	clearbox/models clearbox/models	base.py probabilistic.py	31:36 (31%) 339:344 (3%)	view
6	x 2	clearbox/models clearbox/models	brute_force.py brute_force.py	34:39 (10%) 117:122 (10%)	view
6	x 2	clearbox/models clearbox/models	probabilistic.py probabilistic.py	225:230 (3%) 268:273 (3%)	view
6	x 2	clearbox/models clearbox	probabilistic.py training.py	339:344 (3%) 169:174 (2%)	view