G

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

8% duplication:

3,350 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
298 duplicated lines

30 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
models/spatial (3%) --> models/temporal (8%)	60	3 file pairs	details...

Open 3D force graph...

Show more details on duplication between components...

Longest Duplicates

The list of 20 longest duplicates.

See data for all 30 duplicates...

Size	#	Folders	Files	Lines	Code
14	x 2	models/spatial models/spatial	cond_gmm.py jumpcnf.py	71:97 (15%) 140:166 (10%)	view
14	x 2	models/spatial models/spatial	attncnf.py jumpcnf.py	175:201 (7%) 140:166 (10%)	view
14	x 2	models/spatial models/spatial	attncnf.py cond_gmm.py	175:201 (7%) 71:97 (15%)	view
12	x 2	models/spatial models/spatial	attncnf.py cond_gmm.py	204:217 (6%) 121:134 (13%)	view
11	x 2	models/spatial models/temporal	cnf.py neural.py	162:172 (6%) 375:385 (3%)	view
10	x 2	ROOT ROOT	pyx data_utils_fast.pyx data_utils_fast.pyx	33:42 (10%) 88:97 (10%)	view
9	x 2	models/spatial models/spatial	attncnf.py jumpcnf.py	101:122 (5%) 54:75 (6%)	view
8	x 2	ROOT ROOT	train_stpp.py train_stpp.py	208:215 (1%) 223:230 (1%)	view
8	x 2	ROOT ROOT	viz_dataset.py viz_dataset.py	83:91 (5%) 128:136 (5%)	view
8	x 2	models/spatial models/spatial	attention.py attention.py	52:61 (4%) 128:137 (4%)	view
8	x 2	ROOT ROOT	viz_dataset.py viz_dataset.py	39:47 (5%) 63:71 (5%)	view
7	x 2	models/spatial models/spatial	cond_gmm.py gmm.py	121:127 (7%) 88:94 (15%)	view
7	x 2	models/spatial models/spatial	attncnf.py gmm.py	204:210 (3%) 88:94 (15%)	view
7	x 2	models/spatial models/spatial	indepcnf.py jumpcnf.py	81:87 (16%) 197:203 (5%)	view
7	x 2	ROOT ROOT	train_stpp.py train_stpp.py	208:214 (1%) 240:246 (1%)	view
7	x 2	models/spatial models/spatial	gmm.py jumpcnf.py	88:94 (15%) 197:203 (5%)	view
7	x 2	models/spatial models/spatial	gmm.py indepcnf.py	88:94 (15%) 81:87 (16%)	view
7	x 2	models/spatial models/spatial	attncnf.py jumpcnf.py	204:210 (3%) 197:203 (5%)	view
7	x 2	models/spatial models/temporal	attncnf.py neural.py	240:250 (3%) 399:409 (2%)	view
7	x 2	ROOT ROOT	train_stpp.py train_stpp.py	223:229 (1%) 240:246 (1%)	view

Duplicated Units

The list of top 3 duplicated units.

See data for all 3 unit duplicates...

Size	#	Folders	Files	Lines	Code
21	x 3	models/spatial models/spatial models/spatial	jumpcnf.py cond_gmm.py attncnf.py	0:0 0:0 0:0	view
10	x 2	models/temporal models/spatial	neural.py cnf.py	0:0 0:0	view
6	x 5	models/spatial models/spatial models/spatial models/spatial models/spatial	jumpcnf.py gmm.py indepcnf.py cond_gmm.py attncnf.py	0:0 0:0 0:0 0:0 0:0	view