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

50% duplication:

3,452 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,728 duplicated lines

120 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 120 duplicates...

Size	#	Folders	Files	Lines	Code
227	x 2	src/nli src/nli	training.py training_extra.py	45:320 (34%) 67:343 (34%)	view
84	x 2	src/nli src/nli	training.py training_extra.py	430:534 (12%) 449:553 (12%)	view
59	x 2	src/nli src/nli	training.py training_extra.py	676:759 (8%) 670:753 (8%)	view
45	x 2	src/nli src/nli	training.py training_extra.py	344:407 (6%) 347:410 (6%)	view
37	x 2	src/nli src/nli	training.py training_extra.py	818:865 (5%) 804:851 (5%)	view
34	x 2	src/nli src/nli	training.py training_extra.py	868:913 (5%) 854:899 (5%)	view
32	x 2	src/nli src/nli	training.py training_extra.py	715:759 (4%) 757:801 (4%)	view
32	x 2	src/nli src/nli	training_extra.py training_extra.py	709:753 (4%) 757:801 (4%)	view
32	x 2	src/nli src/nli	training.py training.py	715:759 (4%) 768:812 (4%)	view
32	x 2	src/nli src/nli	training.py training_extra.py	768:812 (4%) 757:801 (4%)	view
32	x 2	src/nli src/nli	training.py training_extra.py	768:812 (4%) 709:753 (4%)	view
31	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1027:1119 (2%) 1152:1210 (2%)	view
27	x 2	src/nli src/nli	training.py training_extra.py	630:663 (4%) 627:660 (4%)	view
20	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1148:1168 (1%) 1244:1264 (1%)	view
19	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1261:1308 (1%) 1468:1521 (1%)	view
18	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1165:1210 (1%) 1585:1663 (1%)	view
18	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1040:1119 (1%) 1585:1663 (1%)	view
17	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	1027:1043 (1%) 1248:1264 (1%)	view
16	x 2	src/modeling src/modeling	res_encoder.py res_encoder.py	49:76 (17%) 136:163 (17%)	view
16	x 2	src/nli src/nli	training.py training_extra.py	576:594 (2%) 583:601 (2%)	view

Duplicated Units

The list of top 7 duplicated units.

See data for all 7 unit duplicates...

Size	#	Folders	Files	Lines	Code
16	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view
15	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view
14	x 2	src/modeling src/modeling	dummy_modeling_xlnet.py dummy_modeling_xlnet.py	0:0 0:0	view
10	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view
10	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view
11	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view
8	x 2	src/nli src/nli	training_extra.py training.py	0:0 0:0	view