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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

18% duplication:

8,910 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,613 duplicated lines

136 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
nestedtensor/csrc/cuda (1%) --> nestedtensor/csrc (<1%)	68	2 file pairs	details...

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Longest Duplicates

The list of 20 longest duplicates.

See data for all 136 duplicates...

Size	#	Folders	Files	Lines	Code
53	x 2	nestedtensor/csrc nestedtensor/csrc	conv2d.cpp conv2d.cpp	20:78 (33%) 109:167 (33%)	view
37	x 2	nestedtensor/csrc nestedtensor/csrc	BinaryOps.cpp BinaryOps.cpp	242:282 (7%) 361:401 (7%)	view
35	x 2	nestedtensor/csrc nestedtensor/csrc	BinaryOps.cpp BinaryOps.cpp	46:84 (7%) 244:282 (7%)	view
35	x 2	nestedtensor/csrc nestedtensor/csrc	BinaryOps.cpp BinaryOps.cpp	46:84 (7%) 363:401 (7%)	view
22	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu transpose.cu transpose.cu	19:40 (9%) 135:156 (9%)	view
20	x 2	nestedtensor/csrc nestedtensor/csrc	python_functions.cpp python_functions.cpp	152:174 (8%) 194:216 (8%)	view
19	x 2	nestedtensor/csrc nestedtensor/csrc	python_functions.cpp python_functions.cpp	191:214 (8%) 235:258 (8%)	view
18	x 2	nestedtensor/csrc nestedtensor/csrc	python_functions.cpp python_functions.cpp	152:172 (8%) 238:258 (8%)	view
18	x 2	benchmarks benchmarks	conv2d.py linear.py	6:23 (43%) 6:23 (43%)	view
18	x 2	benchmarks benchmarks	classy.py gat.py	9:26 (29%) 9:26 (21%)	view
15	x 2	benchmarks benchmarks	classy.py mha_cuda.py	9:23 (24%) 6:20 (28%)	view
15	x 2	benchmarks benchmarks	gat.py mha_cuda.py	9:23 (18%) 6:20 (28%)	view
15	x 2	benchmarks benchmarks	conv2d.py embedding.py	6:20 (36%) 6:20 (34%)	view
15	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu attention.cu cuda_kernels.cu	1:15 (4%) 1:15 (3%)	view
15	x 2	benchmarks benchmarks	embedding.py linear.py	6:20 (34%) 6:20 (36%)	view
15	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu padding.cu padding.cu	53:67 (4%) 98:112 (4%)	view
15	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu cuda_kernels.cu cuda_kernels.cu	321:336 (3%) 387:402 (3%)	view
14	x 2	nestedtensor/csrc/cuda nestedtensor/csrc	layernorm.cpp functions.cpp	49:63 (28%) 97:111 (6%)	view
14	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu add.cu add.cu	12:25 (4%) 102:115 (4%)	view
14	x 2	nestedtensor/csrc/cuda nestedtensor/csrc/cuda	cu add.cu add.cu	57:70 (4%) 102:115 (4%)	view

Duplicated Units

The list of top 2 duplicated units.

See data for all 2 unit duplicates...

Size	#	Folders	Files	Lines	Code
16	x 2	benchmarks benchmarks	classy.py gat.py	0:0 0:0	view
16	x 2	benchmarks benchmarks	linear.py conv2d.py	0:0 0:0	view