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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.

Learn more...

Duplication Overall

32% duplication:

1,694 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
547 duplicated lines

38 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
cp_examples/mip_finetune (42%) --> cp_examples/sip_finetune (40%)	280	2 file pairs	details...
cp_examples/moco_pretrain (38%) --> cp_examples/sip_finetune (16%)	114	2 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 38 duplicates...

Size	#	Folders	Files	Lines	Code
26	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	mip_model.py sip_finetune.py	242:270 (11%) 215:246 (13%)	view
26	x 2	covidprognosis/data covidprognosis/data	chexpert.py mimic_cxr.py	82:110 (29%) 94:122 (21%)	view
20	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	99:121 (21%) 142:164 (13%)	view
15	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	mip_model.py sip_finetune.py	207:224 (6%) 169:189 (7%)	view
15	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	mip_model.py sip_finetune.py	189:204 (6%) 149:166 (7%)	view
13	x 2	cp_examples/moco_pretrain cp_examples/sip_finetune	train_moco.py train_sip.py	55:68 (14%) 66:79 (8%)	view
12	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	35:50 (12%) 38:53 (8%)	view
12	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	76:91 (12%) 124:139 (8%)	view
12	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	mip_model.py sip_finetune.py	227:241 (5%) 192:210 (6%)	view
11	x 2	cp_examples/moco_pretrain cp_examples/sip_finetune	train_moco.py train_sip.py	73:85 (12%) 103:115 (7%)	view
9	x 2	covidprognosis/data covidprognosis/data	chexpert.py mimic_cxr.py	42:50 (10%) 34:42 (7%)	view
9	x 2	covidprognosis/data covidprognosis/data	chexpert.py nih_chest_xrays.py	82:92 (10%) 98:108 (8%)	view
9	x 2	covidprognosis/data covidprognosis/data	chexpert.py mimic_cxr.py	131:145 (10%) 162:176 (7%)	view
9	x 2	covidprognosis/data covidprognosis/data	chexpert.py nih_chest_xrays.py	117:128 (10%) 136:147 (8%)	view
9	x 2	covidprognosis/data covidprognosis/data	mimic_cxr.py nih_chest_xrays.py	94:104 (7%) 98:108 (8%)	view
8	x 2	cp_examples/moco_pretrain cp_examples/sip_finetune	train_moco.py train_sip.py	18:31 (8%) 22:35 (5%)	view
8	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	52:61 (8%) 55:64 (5%)	view
7	x 2	cp_examples/mip_finetune cp_examples/moco_pretrain	train_mip.py train_moco.py	64:72 (7%) 77:85 (7%)	view
7	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	17:29 (7%) 19:31 (4%)	view
7	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	train_mip.py train_sip.py	64:72 (7%) 107:115 (4%)	view

Duplicated Units

The list of top 3 duplicated units.

See data for all 3 unit duplicates...

Size	#	Folders	Files	Lines	Code
16	x 2	covidprognosis/data covidprognosis/data	chexpert.py mimic_cxr.py	0:0 0:0	view
13	x 2	cp_examples/mip_finetune cp_examples/sip_finetune	mip_model.py sip_finetune.py	0:0 0:0	view
6	x 2	covidprognosis/data covidprognosis/data	chexpert.py mimic_cxr.py	0:0 0:0	view