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.

Learn more...

Duplication Overall

24% duplication:

4,111 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
996 duplicated lines

97 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 20 longest duplicates.

See data for all 97 duplicates...

Size	#	Folders	Files	Lines	Code
24	x 2	ROOT ROOT	train_curve.py train_indep.py	322:355 (7%) 347:380 (6%)	view
18	x 2	ROOT ROOT	train_curve.py train_indep.py	378:401 (5%) 403:426 (5%)	view
17	x 2	configs/structured_sparsity configs/structured_sparsity	ns.yaml us.yaml	7:23 (56%) 7:23 (58%)	view
17	x 2	ROOT ROOT	train_curve.py train_indep.py	412:430 (5%) 441:459 (4%)	view
16	x 2	ROOT ROOT	train_curve.py train_indep.py	264:285 (5%) 247:267 (4%)	view
15	x 2	ROOT ROOT	train_curve.py train_indep.py	291:307 (4%) 314:330 (4%)	view
13	x 2	configs/structured_sparsity configs/structured_sparsity	lcs_p.yaml us.yaml	5:17 (44%) 5:17 (44%)	view
13	x 2	configs/unstructured_sparsity configs/unstructured_sparsity	lcs_p.yaml target_topk.yaml	5:17 (56%) 5:17 (59%)	view
13	x 2	configs/structured_sparsity configs/structured_sparsity	lcs_p.yaml us.yaml	21:34 (44%) 21:34 (44%)	view
12	x 2	ROOT ROOT	train_curve.py train_indep.py	358:372 (3%) 383:397 (3%)	view
12	x 2	models/networks models/networks	model_profiling.py model_profiling.py	81:92 (6%) 94:105 (6%)	view
12	x 2	models models	quantize_affine.py quantize_affine.py	120:132 (5%) 141:153 (5%)	view
12	x 2	ROOT ROOT	model_logging.py model_logging.py	65:78 (8%) 133:146 (8%)	view
11	x 2	configs/structured_sparsity configs/structured_sparsity	lcs_p.yaml ns.yaml	7:17 (37%) 7:17 (36%)	view
10	x 2	models models	builder.py builder.py	125:135 (5%) 149:159 (5%)	view
10	x 2	ROOT ROOT	train_curve.py train_indep.py	164:175 (3%) 179:189 (2%)	view
10	x 2	ROOT ROOT	model_logging.py model_logging.py	52:61 (7%) 82:91 (7%)	view
10	x 2	models models	quantized_modules.py quantized_modules.py	43:53 (3%) 71:80 (3%)	view
10	x 2	ROOT ROOT	model_logging.py model_logging.py	52:61 (7%) 150:159 (7%)	view
10	x 2	ROOT ROOT	model_logging.py model_logging.py	52:61 (7%) 120:129 (7%)	view

Duplicated Units

The list of top 4 duplicated units.

See data for all 4 unit duplicates...

Size	#	Folders	Files	Lines	Code
8	x 2	ROOT ROOT	model_logging.py model_logging.py	0:0 0:0	view
8	x 2	models models	builder.py builder.py	0:0 0:0	view
8	x 2	ROOT ROOT	train_indep.py train_indep.py	0:0 0:0	view
7	x 2	models/networks models/networks	resnet.py resnet.py	0:0 0:0	view