openai / shap-e Duplication

openai / shap-e

Duplication

Places in code with 6 or more lines that are exactly the same.

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...

To learn more about duplications and techniques for eliminating duplication, Sokrates recommends the following resources:

Avoid Repetition, MartinFlower.com (IEEE Software article)
Refactoring duplicated code, sourcemaking.com
Beck Design Rules, MartinFowler.com
DRY (Don't Repeat Yourself) Principle, Wikipedia
The Cut-and-Paste Programming Software Development Anti-Pattern, sourcemaking.com
Code Smells / Duplicated Code, Jeff Atwood, codinghorror.com:

"Duplicated code is the bane of software development. Stamp out duplication whenever possible. You should always be on the lookout for more subtle cases of near-duplication, too. Don't Repeat Yourself!"

Reducing Coupling, MartinFlower.com (IEEE Software article):

"There are several ways to describe coupling, but it boils down to this: If changing one module in a program requires changing another module, then coupling exists. ... Duplication always implies coupling, because changing one piece of duplicate code implies changing the other."

Duplication Overall

17% duplication:

9,541 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 | 2D graph (with duplicates)... | 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

Most Frequent Duplicates

The list of 50 most frequently found duplicates.

Size	#	Folders	Files	Lines	Code
6	x 6	shap_e/models/generation shap_e/models/generation shap_e/models/generation shap_e/models/generation shap_e/models/generation shap_e/models/generation	perceiver.py transformer.py perceiver.py perceiver.py transformer.py transformer.py	14:19 (2%) 20:25 (1%) 78:83 (2%) 121:126 (2%) 84:89 (1%) 115:120 (1%)	view
6	x 5	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py pc_encoder.py	22:27 (3%) 27:32 (1%) 35:40 (<1%) 107:112 (<1%) 96:101 (1%)	view
6	x 5	shap_e/models/stf shap_e/models/nerstf shap_e/models/stf shap_e/models/nerstf shap_e/models/stf	mlp.py mlp.py base.py mlp.py mlp.py	188:193 (4%) 28:33 (4%) 13:18 (18%) 82:87 (4%) 206:211 (4%)	view
6	x 5	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py channels_encoder.py channels_encoder.py	248:253 (1%) 375:380 (<1%) 407:412 (<1%) 432:437 (<1%) 457:462 (<1%)	view
6	x 5	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py pc_encoder.py	23:28 (3%) 28:33 (1%) 36:41 (<1%) 108:113 (<1%) 97:102 (1%)	view
6	x 5	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py channels_encoder.py	111:116 (3%) 336:341 (1%) 651:656 (<1%) 687:692 (<1%) 719:724 (<1%)	view
6	x 4	shap_e/diffusion shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	501:506 (<1%) 549:554 (<1%) 688:693 (<1%) 724:729 (<1%)	view
6	x 4	shap_e/diffusion shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	503:508 (<1%) 551:556 (<1%) 690:695 (<1%) 726:731 (<1%)	view
6	x 4	shap_e/models shap_e/models shap_e/models shap_e/models	volume.py volume.py volume.py volume.py	67:72 (4%) 120:125 (4%) 192:197 (4%) 246:251 (4%)	view
6	x 4	shap_e/models/stf shap_e/models/nerf shap_e/models/nerf shap_e/models/nerf	mlp.py model.py model.py model.py	107:112 (4%) 24:29 (3%) 64:69 (3%) 174:179 (3%)	view
6	x 4	shap_e/diffusion shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	504:509 (<1%) 552:557 (<1%) 691:696 (<1%) 727:732 (<1%)	view
6	x 4	shap_e/diffusion shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	502:507 (<1%) 550:555 (<1%) 689:694 (<1%) 725:730 (<1%)	view
6	x 4	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py	168:173 (3%) 393:398 (1%) 767:772 (<1%) 820:825 (<1%)	view
6	x 4	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py	170:175 (3%) 395:400 (1%) 769:774 (<1%) 822:827 (<1%)	view
6	x 4	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py channels_encoder.py	169:174 (3%) 394:399 (1%) 768:773 (<1%) 821:826 (<1%)	view
6	x 4	shap_e/diffusion shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	500:505 (<1%) 548:553 (<1%) 687:692 (<1%) 723:728 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py pc_encoder.py	44:49 (3%) 46:51 (1%) 118:123 (1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	184:189 (3%) 409:414 (1%) 836:841 (<1%)	view
6	x 3	shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	483:488 (<1%) 615:620 (<1%) 664:669 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	173:179 (3%) 398:404 (1%) 825:831 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	196:201 (3%) 421:426 (1%) 848:853 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	base.py channels_encoder.py channels_encoder.py	93:98 (4%) 52:57 (<1%) 128:133 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/generation shap_e/models/transmitter	multiview_encoder.py transformer.py pc_encoder.py	66:71 (3%) 183:188 (1%) 63:68 (1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	164:169 (3%) 389:394 (1%) 763:768 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py pc_encoder.py	25:30 (3%) 30:35 (1%) 99:104 (1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py	151:156 (1%) 73:78 (<1%) 169:174 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py	382:388 (1%) 756:762 (<1%) 810:816 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	103:110 (3%) 328:335 (1%) 643:650 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py	377:386 (1%) 751:760 (<1%) 805:814 (<1%)	view
6	x 3	shap_e/models shap_e/models shap_e/models	volume.py volume.py volume.py	118:124 (4%) 190:196 (4%) 244:250 (4%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	146:152 (3%) 370:376 (1%) 744:750 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	192:197 (3%) 417:422 (1%) 844:849 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	145:150 (3%) 369:374 (1%) 743:748 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py	150:155 (1%) 72:77 (<1%) 168:173 (<1%)	view
6	x 3	shap_e/diffusion shap_e/diffusion shap_e/diffusion	gaussian_diffusion.py gaussian_diffusion.py gaussian_diffusion.py	484:489 (<1%) 616:621 (<1%) 665:670 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	107:113 (3%) 332:338 (1%) 647:653 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	pc_encoder.py channels_encoder.py channels_encoder.py	383:389 (1%) 757:763 (<1%) 811:817 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	167:172 (3%) 392:397 (1%) 766:771 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	195:200 (3%) 420:425 (1%) 847:852 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	194:199 (3%) 419:424 (1%) 846:851 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	178:186 (3%) 403:411 (1%) 830:838 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	177:185 (3%) 402:410 (1%) 829:837 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	188:193 (3%) 413:418 (1%) 840:845 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	channels_encoder.py channels_encoder.py channels_encoder.py	405:410 (<1%) 430:435 (<1%) 455:460 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	187:192 (3%) 412:417 (1%) 839:844 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	144:149 (3%) 368:373 (1%) 742:747 (<1%)	view
6	x 3	shap_e/models/generation shap_e/models/generation shap_e/models/generation	perceiver.py perceiver.py perceiver.py	16:21 (2%) 80:85 (2%) 123:128 (2%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	102:109 (3%) 327:334 (1%) 642:649 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	104:111 (3%) 329:336 (1%) 644:651 (<1%)	view
6	x 3	shap_e/models/transmitter shap_e/models/transmitter shap_e/models/transmitter	multiview_encoder.py pc_encoder.py channels_encoder.py	105:112 (3%) 330:337 (1%) 645:652 (<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