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:

3,369 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
391 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
11	x 2	torchrecipes/text/doc_classification/module torchrecipes/text/doc_classification/module	doc_classification.py doc_classification.py	117:128 (10%) 134:145 (10%)	view
11	x 2	torchrecipes/audio/source_separation torchrecipes/vision/image_classification	train_app.py train_app.py	46:60 (12%) 42:56 (16%)	view
8	x 2	torchrecipes/vision/image_generation/module torchrecipes/vision/image_generation/module	gan.py infogan.py	78:85 (6%) 133:140 (3%)	view
8	x 2	torchrecipes/vision/image_generation/module torchrecipes/vision/image_generation/module	gan.py infogan.py	119:127 (6%) 279:287 (3%)	view
7	x 2	torchrecipes/vision/imag...f/datamodule/datamodule torchrecipes/vision/imag...f/datamodule/datamodule	fake_data.yaml fake_data.yaml	11:17 (28%) 19:25 (28%)	view
7	x 2	torchrecipes/vision/image_generation/conf torchrecipes/vision/image_generation/conf	gan_train_app.yaml infogan_train_app.yaml	12:20 (46%) 11:19 (50%)	view
7	x 2	torchrecipes/vision/imag...f/datamodule/datamodule torchrecipes/vision/imag...f/datamodule/datamodule	cifar10.yaml cifar10.yaml	5:11 (30%) 16:22 (30%)	view
7	x 2	torchrecipes/core torchrecipes/core	task_base.py task_base.py	103:109 (11%) 117:123 (11%)	view
7	x 2	torchrecipes/vision/imag...f/datamodule/datamodule torchrecipes/vision/imag...f/datamodule/datamodule	fake_data.yaml fake_data.yaml	3:9 (28%) 11:17 (28%)	view
7	x 2	torchrecipes/vision/imag...f/datamodule/datamodule torchrecipes/vision/imag...f/datamodule/datamodule	fake_data.yaml fake_data.yaml	3:9 (28%) 19:25 (28%)	view
6	x 2	torchrecipes/core/conf/module/optim torchrecipes/core/conf/optim	adamw.yaml adamw.yaml	1:6 (100%) 1:6 (100%)	view
6	x 2	torchrecipes/vision/image_classification/module torchrecipes/vision/image_classification/module	image_classification.py image_classification.py	222:227 (3%) 232:237 (3%)	view
6	x 2	torchrecipes/utils torchrecipes/utils	trainer_plugins.py trainer_plugins.py	135:140 (2%) 160:165 (2%)	view
6	x 2	torchrecipes/utils torchrecipes/utils	trainer_plugins.py trainer_plugins.py	74:79 (2%) 118:123 (2%)	view
6	x 2	torchrecipes/vision/image_generation/module torchrecipes/vision/image_generation/module	infogan.py infogan.py	199:205 (2%) 249:255 (2%)	view
6	x 2	torchrecipes/utils torchrecipes/utils	trainer_plugins.py trainer_plugins.py	42:47 (2%) 82:87 (2%)	view
6	x 2	torchrecipes/vision/image_generation/models torchrecipes/vision/image_generation/models	dcgan.py dcgan.py	34:39 (7%) 85:90 (7%)	view
6	x 2	torchrecipes/vision/imag...ation/conf/module/optim torchrecipes/vision/imag...ation/conf/module/optim	sgd.yaml sgd_partial.yaml	3:8 (100%) 3:8 (100%)	view
6	x 2	torchrecipes/utils torchrecipes/utils	trainer_plugins.py trainer_plugins.py	50:55 (2%) 91:96 (2%)	view
6	x 2	torchrecipes/vision/image_classification/module torchrecipes/vision/image_classification/module	image_classification.py image_classification.py	222:227 (3%) 241:246 (3%)	view

Duplicated Units

The list of top 2 duplicated units.

See data for all 2 unit duplicates...

Size	#	Folders	Files	Lines	Code
6	x 2	torchrecipes/vision/image_generation/module torchrecipes/vision/image_generation/module	gan.py infogan.py	0:0 0:0	view
6	x 2	torchrecipes/vision/image_generation torchrecipes/vision/image_classification	train_app.py train_app.py	0:0 0:0	view