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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

11% duplication:

7,348 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
859 duplicated lines

55 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
adanet/autoensemble (9%) --> adanet/core (<1%)	52	2 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 55 duplicates...

Size	#	Folders	Files	Lines	Code
38	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	357:401 (10%) 412:456 (10%)	view
30	x 2	research/improve_nas/trainer research/improve_nas/trainer	cifar10.py cifar100.py	28:78 (34%) 29:79 (34%)	view
26	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	319:344 (6%) 428:453 (6%)	view
26	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	319:344 (6%) 373:398 (6%)	view
21	x 2	research/improve_nas/trainer research/improve_nas/trainer	cifar10.py cifar100.py	96:133 (24%) 100:137 (24%)	view
20	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	164:196 (5%) 200:232 (5%)	view
18	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	141:160 (4%) 177:196 (4%)	view
18	x 2	research/improve_nas/trainer research/improve_nas/trainer	nasnet.py nasnet.py	141:160 (4%) 213:232 (4%)	view
14	x 2	research/improve_nas/trainer research/improve_nas/trainer	cifar10.py cifar100.py	135:151 (16%) 139:155 (16%)	view
12	x 2	adanet/core adanet/core	estimator.py tpu_estimator.py	604:615 (<1%) 91:102 (4%)	view
12	x 2	adanet/autoensemble adanet/autoensemble	estimator.py estimator.py	177:188 (11%) 359:370 (11%)	view
12	x 2	adanet/core adanet/core	estimator.py estimator.py	1098:1111 (<1%) 1127:1140 (<1%)	view
11	x 2	adanet/autoensemble adanet/core	estimator.py tpu_estimator.py	372:382 (10%) 105:115 (4%)	view
10	x 2	adanet/core adanet/core	estimator.py estimator.py	1458:1468 (<1%) 1549:1559 (<1%)	view
10	x 2	adanet/core adanet/core	estimator.py estimator.py	1306:1315 (<1%) 1343:1352 (<1%)	view
10	x 2	adanet/core adanet/core	iteration.py iteration.py	967:977 (1%) 986:995 (1%)	view
9	x 2	research/improve_nas/trainer research/improve_nas/trainer	improve_nas.py improve_nas.py	220:249 (5%) 269:300 (5%)	view
9	x 2	adanet/autoensemble adanet/autoensemble	estimator.py estimator.py	192:200 (8%) 380:388 (8%)	view
9	x 2	adanet/autoensemble adanet/autoensemble	estimator.py estimator.py	202:210 (8%) 390:398 (8%)	view
9	x 2	adanet/core adanet/core	iteration.py iteration.py	374:382 (1%) 808:816 (1%)	view

Duplicated Units

The list of top 1 duplicated units.

See data for all 1 unit duplicate

Size	#	Folders	Files	Lines	Code
23	x 2	research/improve_nas/trainer research/improve_nas/trainer	cifar10.py cifar100.py	0:0 0:0	view