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

19% duplication:

3,008 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
584 duplicated lines

46 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 46 duplicates...

Size	#	Folders	Files	Lines	Code
22	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	18:41 (15%) 38:64 (12%)	view
20	x 2	product_matching/experiments product_matching/experiments	euclidean_product_matching.py hyperboloid_product_matching.py	43:65 (38%) 43:65 (38%)	view
17	x 2	product_matching/experiments product_matching/experiments	euclidean_product_matching.py hyperboloid_product_matching.py	5:22 (32%) 5:22 (32%)	view
15	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	162:178 (6%) 205:221 (6%)	view
15	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	162:178 (6%) 249:265 (6%)	view
15	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	205:221 (6%) 249:265 (6%)	view
14	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	20:35 (5%) 91:106 (5%)	view
13	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	89:102 (9%) 134:148 (7%)	view
13	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	130:148 (9%) 179:198 (7%)	view
12	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	205:218 (4%) 291:304 (4%)	view
12	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	162:175 (4%) 291:304 (4%)	view
12	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	249:262 (4%) 291:304 (4%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1065:1075 (1%) 1093:1103 (1%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1065:1075 (1%) 1107:1117 (1%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1093:1103 (1%) 1107:1117 (1%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1065:1075 (1%) 1079:1089 (1%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1079:1089 (1%) 1107:1117 (1%)	view
11	x 2	product_matching/experiments product_matching/experiments	euclidean_product_matching.py hyperboloid_product_matching.py	28:41 (21%) 28:41 (21%)	view
11	x 2	hype_kg/codes hype_kg/codes	model.py model.py	1079:1089 (1%) 1093:1103 (1%)	view
11	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	57:69 (4%) 128:140 (4%)	view

Duplicated Units

The list of top 7 duplicated units.

See data for all 7 unit duplicates...

Size	#	Folders	Files	Lines	Code
10	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	0:0 0:0	view
12	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	0:0 0:0	view
8	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	0:0 0:0	view
6	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	0:0 0:0	view
6	x 2	hype_kg/codes hype_kg/codes	dataloader.py dataloader.py	0:0 0:0	view
6	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	0:0 0:0	view
6	x 2	product_matching product_matching	euclidean_intersection.py hyperboloid.py	0:0 0:0	view