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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

14% duplication:

5,136 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
755 duplicated lines

49 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
projects/deep_video_compression (4%) --> projects/scale_hyperprior_lightning (13%)	64	3 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 49 duplicates...

Size	#	Folders	Files	Lines	Code
30	x 2	projects/deep_video_compression projects/deep_video_compression	_utils.py _utils.py	135:174 (13%) 206:245 (13%)	view
18	x 2	neuralcompression/layers neuralcompression/layers	_synthesis_transformation_2d.py _synthesis_transformation_2d.py	41:58 (38%) 50:67 (38%)	view
16	x 2	neuralcompression/layers neuralcompression/layers	_analysis_transformation_2d.py _analysis_transformation_2d.py	41:56 (37%) 49:64 (37%)	view
14	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	68:83 (31%) 68:83 (31%)	view
12	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _scale_hyperprior_autoencoder.py	52:64 (26%) 54:66 (26%)	view
12	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _mean_scale_hyperprior_autoencoder.py	52:64 (26%) 54:66 (26%)	view
12	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	54:66 (26%) 54:66 (26%)	view
12	x 2	neuralcompression/models neuralcompression/models	deep_video_compression.py deep_video_compression.py	336:348 (2%) 422:434 (2%)	view
12	x 2	neuralcompression/layers neuralcompression/layers	gdn.py gdn.py	34:75 (30%) 81:122 (30%)	view
12	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _mean_scale_hyperprior_autoencoder.py	66:77 (26%) 68:79 (26%)	view
12	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _scale_hyperprior_autoencoder.py	66:77 (26%) 68:79 (26%)	view
11	x 2	neuralcompression/models neuralcompression/models	_mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	101:114 (10%) 49:62 (18%)	view
11	x 2	projects/deep_video_compression projects/deep_video_compression	_utils.py _utils.py	111:121 (4%) 179:189 (4%)	view
11	x 2	neuralcompression/entropy_coders neuralcompression/entropy_coders	jax_arithemetic_coder.py jax_arithemetic_coder.py	163:173 (2%) 286:296 (2%)	view
10	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	37:46 (22%) 37:46 (22%)	view
10	x 2	projects/deep_video_compression projects/scale_hyperprior_lightning	data_module.py vimeo.py	80:90 (16%) 66:76 (20%)	view
10	x 2	projects/deep_video_compression projects/deep_video_compression	_utils.py _utils.py	122:133 (4%) 191:202 (4%)	view
10	x 2	neuralcompression/functional neuralcompression/metrics	_lpips.py distortion.py	75:85 (25%) 135:145 (11%)	view
10	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _scale_hyperprior_autoencoder.py	35:44 (21%) 37:46 (22%)	view
10	x 2	projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _mean_scale_hyperprior_autoencoder.py	35:44 (21%) 37:46 (22%)	view

Duplicated Units

The list of top 7 duplicated units.

See data for all 7 unit duplicates...

Size	#	Folders	Files	Lines	Code
21	x 2	projects/deep_video_compression projects/deep_video_compression	_utils.py _utils.py	0:0 0:0	view
8	x 3	projects/variational_image_compression/lightning projects/variational_image_compression/lightning projects/variational_image_compression/lightning	_factorized_prior_autoencoder.py _mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	0:0 0:0 0:0	view
7	x 2	projects/deep_video_compression projects/scale_hyperprior_lightning	data_module.py vimeo.py	0:0 0:0	view
7	x 2	projects/deep_video_compression projects/scale_hyperprior_lightning	data_module.py vimeo.py	0:0 0:0	view
7	x 2	neuralcompression/models neuralcompression/models	_mean_scale_hyperprior_autoencoder.py _scale_hyperprior_autoencoder.py	0:0 0:0	view
7	x 2	neuralcompression/functional neuralcompression/functional	_multiscale_structural_similarity.py _multiscale_structural_similarity.py	0:0 0:0	view
6	x 2	neuralcompression/layers neuralcompression/layers	gdn.py gdn.py	0:0 0:0	view