openai / shap-e - Duplication

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

17% duplication:

9,575 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,709 duplicated lines

161 duplicates

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

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 50 longest duplicates.

See data for all 161 duplicates...

Size	#	Folders	Files	Lines	Code
39	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	726:774 (5%) 352:400 (12%)	view
34	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	354:387 (4%) 227:260 (10%)	view
34	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	164:201 (21%) 389:426 (10%)	view
30	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py multiview_encoder.py	820:853 (3%) 168:201 (18%)	view
30	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	820:853 (3%) 393:426 (9%)	view
24	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	636:667 (3%) 321:352 (7%)	view
23	x 2	shap_e/diffusion shap_e/diffusion	k_diffusion.py k_diffusion.py	240:266 (9%) 284:310 (9%)	view
22	x 2	shap_e/models/nn shap_e/models/nn	encoding.py encoding.py	61:82 (5%) 117:138 (5%)	view
21	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py	417:437 (2%) 442:462 (2%)	view
16	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	141:161 (10%) 365:385 (4%)	view
16	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	161:176 (2%) 143:158 (4%)	view
16	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py multiview_encoder.py	739:759 (2%) 141:161 (10%)	view
15	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	558:585 (2%) 734:759 (2%)	view
15	x 2	shap_e/models/nerstf shap_e/models/stf	renderer.py renderer.py	244:258 (6%) 90:104 (3%)	view
13	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py multiview_encoder.py	642:656 (1%) 102:116 (8%)	view
13	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	687:699 (1%) 723:735 (1%)	view
13	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	102:116 (8%) 327:341 (4%)	view
12	x 2	shap_e/models/nerf shap_e/models/nerf	renderer.py renderer.py	69:81 (4%) 232:244 (4%)	view
12	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	500:511 (1%) 548:559 (1%)	view
12	x 2	shap_e/models/stf shap_e/models/stf	renderer.py renderer.py	316:327 (3%) 388:399 (3%)	view
12	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py multiview_encoder.py	763:774 (1%) 164:175 (7%)	view
12	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py	51:62 (1%) 127:138 (1%)	view
12	x 2	shap_e/models/transmitter shap_e/models/transmitter	base.py base.py	116:128 (8%) 186:198 (8%)	view
12	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	292:305 (1%) 202:215 (3%)	view
12	x 2	shap_e/models/generation shap_e/models/generation	transformer.py transformer.py	320:332 (3%) 438:451 (3%)	view
11	x 2	shap_e/models/nerstf shap_e/models/stf	renderer.py renderer.py	32:42 (4%) 52:62 (2%)	view
11	x 2	shap_e/models shap_e/models	volume.py volume.py	186:197 (8%) 240:251 (8%)	view
11	x 2	shap_e/models shap_e/models	volume.py volume.py	116:127 (8%) 242:253 (8%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	500:509 (1%) 723:732 (1%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	614:623 (1%) 663:672 (1%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	base.py base.py	33:42 (6%) 83:92 (6%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	22:31 (6%) 96:105 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	66:75 (6%) 63:72 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	208:217 (1%) 184:193 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py	22:31 (6%) 27:36 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py pc_encoder.py	27:36 (3%) 96:105 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py pc_encoder.py	805:818 (1%) 377:390 (3%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py	683:694 (1%) 715:726 (1%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py	72:81 (1%) 168:177 (1%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	548:557 (1%) 687:696 (1%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	599:608 (1%) 649:658 (1%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	500:509 (1%) 687:696 (1%)	view
10	x 2	shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py	751:764 (1%) 805:818 (1%)	view
10	x 2	shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py	548:557 (1%) 723:732 (1%)	view
9	x 2	shap_e/models shap_e/models	volume.py volume.py	116:125 (6%) 188:197 (6%)	view
9	x 2	shap_e/models/generation shap_e/models/generation	perceiver.py transformer.py	214:222 (4%) 185:193 (2%)	view
9	x 2	shap_e/models/nn shap_e/rendering	camera.py view_data.py	118:126 (7%) 107:115 (9%)	view
9	x 2	shap_e/models/transmitter shap_e/models/transmitter	base.py channels_encoder.py	92:100 (6%) 51:59 (1%)	view
9	x 2	shap_e/models/generation shap_e/models/generation	perceiver.py perceiver.py	14:22 (4%) 78:86 (4%)	view
9	x 2	shap_e/rendering/blender shap_e/rendering/blender	blender_script.py blender_script.py	224:235 (1%) 292:305 (1%)	view

Duplicated Units

The list of top 1 duplicated units.

See data for all 1 unit duplicate

Size	#	Folders	Files	Lines	Code
25	x 2	shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py	0:0 0:0	view