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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

64% duplication:

2,782 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,807 duplicated lines

267 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
qlearn/atari (6%) --> qlearn/toys (18%)	177	30 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 267 duplicates...

Size	#	Folders	Files	Lines	Code
37	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_prior_bootstrapped_agent.py	142:191 (24%) 143:191 (24%)	view
36	x 2	qlearn/atari qlearn/atari	train_bayes_backprop_agent.py train_mnf_agent.py	205:257 (23%) 211:263 (22%)	view
35	x 2	qlearn/atari qlearn/atari	train_dqn.py train_noisy_agent.py	173:221 (23%) 164:212 (23%)	view
34	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_prior_bootstrapped_agent.py	195:243 (22%) 195:243 (22%)	view
33	x 2	qlearn/atari qlearn/atari	train_mnf_agent.py train_noisy_agent.py	215:263 (21%) 190:237 (22%)	view
33	x 2	qlearn/commun qlearn/commun	dropout_toy_regression.py toy_regression.py	46:89 (37%) 55:100 (37%)	view
33	x 2	qlearn/atari qlearn/atari	train_bayes_backprop_agent.py train_noisy_agent.py	209:257 (21%) 190:237 (22%)	view
32	x 2	qlearn/atari qlearn/atari	train_bayes_backprop_agent.py train_prior_bootstrapped_agent.py	212:257 (20%) 199:243 (20%)	view
32	x 2	qlearn/atari qlearn/atari	train_dqn.py train_noisy_agent.py	93:143 (21%) 90:137 (21%)	view
32	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_noisy_agent.py	199:243 (20%) 193:237 (21%)	view
32	x 2	qlearn/atari qlearn/atari	train_noisy_agent.py train_prior_bootstrapped_agent.py	193:237 (21%) 199:243 (20%)	view
32	x 2	qlearn/atari qlearn/atari	local_mnf_agent.py mnf_agent.py	51:90 (38%) 53:92 (38%)	view
32	x 2	qlearn/atari qlearn/atari	train_mnf_agent.py train_prior_bootstrapped_agent.py	218:263 (20%) 199:243 (20%)	view
32	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_mnf_agent.py	199:243 (20%) 218:263 (20%)	view
32	x 2	qlearn/atari qlearn/atari	train_bayes_backprop_agent.py train_bootstrapped_agent.py	212:257 (20%) 199:243 (20%)	view
30	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_dqn.py	94:139 (19%) 97:143 (20%)	view
30	x 2	qlearn/atari qlearn/atari	train_noisy_agent.py train_prior_bootstrapped_agent.py	92:137 (20%) 95:140 (19%)	view
30	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_prior_bootstrapped_agent.py	94:139 (19%) 95:140 (19%)	view
30	x 2	qlearn/atari qlearn/atari	train_dqn.py train_prior_bootstrapped_agent.py	97:143 (20%) 95:140 (19%)	view
30	x 2	qlearn/atari qlearn/atari	train_bootstrapped_agent.py train_noisy_agent.py	94:139 (19%) 92:137 (20%)	view

Duplicated Units

The list of top 3 duplicated units.

See data for all 3 unit duplicates...

Size	#	Folders	Files	Lines	Code
25	x 2	qlearn/atari qlearn/atari	local_mnf_agent.py mnf_agent.py	0:0 0:0	view
12	x 2	qlearn/commun qlearn/commun	local_mnf_layer.py mnf_layer.py	0:0 0:0	view
7	x 3	qlearn/atari qlearn/atari qlearn/atari	noisy_agent.py bayes_backprop_agent.py dqn_agent.py	0:0 0:0 0:0	view