alibaba / damo-creformer

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:

2,085 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
513 duplicated lines

26 duplicates

dependency graphs: 2D graph | 3D graph | 3D graph (with duplicates)...

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 26 longest duplicates.

See data for all 26 duplicates...

Size	#	Folders	Files	Lines	Code
50	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	154:203 (12%) 291:340 (12%)	view
44	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	143:186 (12%) 291:334 (11%)	view
44	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	143:186 (12%) 154:197 (11%)	view
27	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	317:343 (7%) 361:387 (6%)	view
23	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	108:130 (6%) 119:141 (5%)	view
20	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	63:82 (5%) 74:93 (5%)	view
20	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	74:93 (5%) 269:288 (5%)	view
20	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	63:82 (5%) 269:288 (5%)	view
15	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	7:21 (4%) 7:21 (3%)	view
14	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	48:61 (4%) 59:72 (3%)	view
11	x 2	codes codes	models.py models.py	73:84 (10%) 89:100 (10%)	view
11	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	85:95 (3%) 96:106 (2%)	view
11	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	36:46 (3%) 36:46 (2%)	view
11	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	48:58 (3%) 257:267 (2%)	view
11	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	59:69 (2%) 257:267 (2%)	view
9	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	223:231 (2%) 350:358 (2%)	view
8	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	98:105 (2%) 109:116 (2%)	view
8	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	133:140 (2%) 144:151 (2%)	view
6	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	216:221 (1%) 257:262 (1%)	view
6	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	59:64 (1%) 216:221 (1%)	view
6	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	29:34 (1%) 29:34 (1%)	view
6	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	48:53 (1%) 343:348 (1%)	view
6	x 2	codes codes	example_attention_compute.ipynb example_gexp_compute.ipynb	48:53 (1%) 216:221 (1%)	view
6	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	257:262 (1%) 343:348 (1%)	view
6	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	59:64 (1%) 343:348 (1%)	view
6	x 2	codes codes	example_gexp_compute.ipynb example_gexp_compute.ipynb	216:221 (1%) 343:348 (1%)	view