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

8% duplication:

4,664 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
416 duplicated lines

34 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 34 duplicates...

Size	#	Folders	Files	Lines	Code
13	x 2	tensorflow_gan/python/features tensorflow_gan/python/features	normalization.py normalization.py	116:128 (6%) 316:328 (6%)	view
12	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py tuple_losses.py	44:55 (2%) 70:81 (7%)	view
12	x 2	tensorflow_gan/python/eval tensorflow_gan/python/eval	classifier_metrics.py classifier_metrics.py	447:461 (3%) 951:965 (3%)	view
10	x 2	tensorflow_gan/python/features tensorflow_gan/python/features	normalization.py normalization.py	130:139 (5%) 329:339 (5%)	view
10	x 2	tensorflow_gan/python/estimator tensorflow_gan/python/estimator	gan_estimator.py stargan_estimator.py	316:325 (5%) 319:328 (5%)	view
9	x 2	tensorflow_gan/python/estimator tensorflow_gan/python/estimator	tpu_gan_estimator_test_lib.py tpu_gan_estimator_test_lib.py	371:379 (2%) 382:390 (2%)	view
9	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	1187:1198 (1%) 1233:1244 (1%)	view
9	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	506:514 (1%) 631:639 (1%)	view
8	x 2	tensorflow_gan/python/features tensorflow_gan/python/features	normalization.py normalization.py	37:44 (4%) 162:169 (4%)	view
8	x 2	tensorflow_gan/python/eval tensorflow_gan/python/eval	classifier_metrics.py classifier_metrics.py	475:522 (2%) 527:552 (2%)	view
8	x 2	tensorflow_gan/python/estimator tensorflow_gan/python/estimator	gan_estimator.py tpu_gan_estimator.py	179:187 (4%) 234:242 (2%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	583:589 (1%) 679:685 (1%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	261:304 (1%) 509:546 (1%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	114:142 (1%) 782:818 (1%)	view
7	x 2	tensorflow_gan/python/eval tensorflow_gan/python/eval	classifier_metrics.py classifier_metrics.py	557:597 (1%) 614:659 (1%)	view
7	x 2	tensorflow_gan/python/estimator tensorflow_gan/python/estimator	tpu_gan_estimator_test_lib.py tpu_gan_estimator_test_lib.py	329:335 (1%) 440:446 (1%)	view
7	x 2	tensorflow_gan/python/estimator tensorflow_gan/python/estimator	tpu_gan_estimator_test_lib.py tpu_gan_estimator_test_lib.py	250:256 (1%) 269:275 (1%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	114:142 (1%) 261:304 (1%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	509:546 (1%) 782:818 (1%)	view
7	x 2	tensorflow_gan/python/losses tensorflow_gan/python/losses	losses_impl.py losses_impl.py	261:304 (1%) 782:818 (1%)	view