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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.

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Duplication Overall

25% duplication:

2,685 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
672 duplicated lines

57 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
isoexp/contextual (15%) --> isoexp/mab (7%)	115	1 file pair	details...
isoexp/mab (6%) --> isoexp (5%)	102	1 file pair	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 57 duplicates...

Size	#	Folders	Files	Lines	Code
19	x 2	isoexp/mab isoexp	main_mab.py main_mab.py	68:91 (21%) 76:99 (21%)	view
16	x 2	isoexp/mab isoexp/mab	smab_algs.py smab_algs.py	323:341 (3%) 353:370 (3%)	view
15	x 2	isoexp/contextual isoexp/contextual	contextual_linucb.py contextual_linucb.py	44:71 (5%) 259:276 (5%)	view
15	x 2	isoexp/mab isoexp/mab	smab_algs.py smab_algs.py	595:610 (3%) 636:656 (3%)	view
14	x 2	isoexp/linear isoexp/linear	linearbandit.py linearbandit.py	43:60 (4%) 121:137 (4%)	view
14	x 2	isoexp/mab isoexp/mab	smab_algs.py smab_algs.py	102:121 (2%) 150:169 (2%)	view
13	x 2	isoexp/mab isoexp/mab	smab_algs.py smab_algs.py	25:41 (2%) 150:167 (2%)	view
13	x 2	isoexp/mab isoexp/mab	smab_algs.py smab_algs.py	25:41 (2%) 102:119 (2%)	view
13	x 2	isoexp/contextual isoexp/mab	contextual_linucb.py contextual_mab_algs.py	28:42 (5%) 78:92 (12%)	view
12	x 2	isoexp/linear isoexp/linear	linearbandit.py linearbandit.py	28:41 (3%) 106:119 (3%)	view
12	x 2	isoexp isoexp	main_attack_one_user.py main_attacked_context.py	180:194 (6%) 96:110 (8%)	view
11	x 2	isoexp/contextual isoexp/contextual	contextual_linucb.py contextual_linucb.py	37:52 (4%) 120:131 (4%)	view
10	x 2	isoexp/mab isoexp	main_mab.py main_mab.py	44:57 (11%) 51:63 (11%)	view
9	x 2	isoexp/contextual isoexp/contextual	contextual_linucb.py contextual_linucb.py	99:109 (3%) 155:165 (3%)	view
9	x 2	isoexp/contextual isoexp/contextual	contextual_linucb.py contextual_linucb.py	121:130 (3%) 194:203 (3%)	view
9	x 2	isoexp/contextual isoexp/mab	contextual_linucb.py contextual_mab_algs.py	155:165 (3%) 150:161 (8%)	view
9	x 2	isoexp/contextual isoexp/mab	contextual_linucb.py contextual_mab_algs.py	46:59 (3%) 96:109 (8%)	view
9	x 2	isoexp/contextual isoexp/contextual	contextual_linucb.py contextual_linucb.py	39:51 (3%) 194:203 (3%)	view
9	x 2	isoexp/contextual isoexp/linear	contextual_linucb.py linearbandit.py	13:24 (3%) 13:24 (2%)	view
9	x 2	isoexp isoexp	main_attack_one_user.py main_attacked_context.py	203:213 (5%) 110:128 (6%)	view

Duplicated Units

The list of top 4 duplicated units.

See data for all 4 unit duplicates...

Size	#	Folders	Files	Lines	Code
11	x 2	isoexp/contextual isoexp/mab	contextual_linucb.py contextual_mab_algs.py	0:0 0:0	view
9	x 2	isoexp/linear isoexp/linear	linearbandit.py linearbandit.py	0:0 0:0	view
8	x 2	isoexp/linear isoexp/linear	linearbandit.py linearbandit.py	0:0 0:0	view
6	x 2	isoexp/contextual isoexp/mab	contextual_linucb.py contextual_mab_algs.py	0:0 0:0	view