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

41% duplication:

15,975 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
6,626 duplicated lines

218 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 218 duplicates...

Size	#	Folders	Files	Lines	Code
182	x 2	sockeye sockeye	data_io.py data_io_pt.py	1011:1328 (14%) 990:1307 (15%)	view
151	x 2	sockeye sockeye	data_io.py data_io_pt.py	218:449 (12%) 199:431 (12%)	view
74	x 2	sockeye sockeye	train.py train_pt.py	514:605 (9%) 491:582 (10%)	view
57	x 2	sockeye sockeye	inference.py inference_pt.py	713:807 (8%) 711:805 (9%)	view
57	x 2	sockeye sockeye	inference.py inference_pt.py	109:206 (8%) 110:207 (9%)	view
53	x 2	sockeye sockeye	data_io.py data_io_pt.py	1640:1704 (4%) 1607:1671 (4%)	view
51	x 2	sockeye sockeye	training.py training_pt.py	205:267 (8%) 197:259 (8%)	view
49	x 2	sockeye sockeye	train.py train_pt.py	19:128 (6%) 19:125 (6%)	view
44	x 2	sockeye sockeye	loss.py loss_pt.py	66:126 (32%) 64:125 (25%)	view
43	x 2	sockeye sockeye	data_io.py data_io_pt.py	41:127 (3%) 41:127 (3%)	view
43	x 2	sockeye sockeye	inference.py inference_pt.py	924:988 (6%) 905:969 (7%)	view
42	x 2	sockeye sockeye	train.py train_pt.py	357:403 (5%) 335:381 (5%)	view
39	x 2	sockeye sockeye	prepare_data.py prepare_data_pt.py	25:74 (48%) 25:74 (48%)	view
38	x 2	sockeye sockeye	data_io.py data_io_pt.py	1777:1826 (3%) 1744:1793 (3%)	view
38	x 2	sockeye sockeye	training.py training_pt.py	848:898 (6%) 827:877 (6%)	view
37	x 2	sockeye sockeye	train.py train_pt.py	857:906 (4%) 799:848 (5%)	view
35	x 2	sockeye sockeye	data_io.py data_io_pt.py	695:736 (2%) 676:717 (2%)	view
35	x 2	sockeye sockeye	checkpoint_decoder.py checkpoint_decoder_pt.py	168:206 (27%) 163:201 (26%)	view
35	x 2	sockeye sockeye	data_io.py data_io_pt.py	761:803 (2%) 742:784 (2%)	view
35	x 2	sockeye sockeye	train.py train_pt.py	311:353 (4%) 289:331 (4%)	view

Duplicated Units

The list of top 20 duplicated units.

See data for all 59 unit duplicates...

Size	#	Folders	Files	Lines	Code
55	x 2	sockeye sockeye	train.py train_pt.py	0:0 0:0	view
39	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
38	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
48	x 2	sockeye sockeye	training_pt.py training.py	0:0 0:0	view
27	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
38	x 2	sockeye sockeye	translate_pt.py translate.py	0:0 0:0	view
42	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
37	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
38	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
19	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
18	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
25	x 2	sockeye sockeye	inference.py inference_pt.py	0:0 0:0	view
25	x 2	sockeye sockeye	inference.py inference_pt.py	0:0 0:0	view
17	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
15	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
18	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
15	x 2	sockeye sockeye	loss.py loss_pt.py	0:0 0:0	view
26	x 2	sockeye sockeye	inference.py inference_pt.py	0:0 0:0	view
13	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view
20	x 2	sockeye sockeye	data_io_pt.py data_io.py	0:0 0:0	view