openai / consistency_models

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

19% duplication:

4,566 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
880 duplicated lines

55 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 55 duplicates...

Size	#	Folders	Files	Lines	Code
37	x 2	cm cm	karras_diffusion.py karras_diffusion.py	498:538 (4%) 590:630 (4%)	view
33	x 2	scripts scripts	cm_train.py edm_train.py	129:163 (25%) 55:89 (45%)	view
30	x 2	evaluations evaluations	evaluator.py th_evaluator.py	74:117 (6%) 30:72 (13%)	view
26	x 2	scripts scripts	image_sample.py ternary_search.py	15:47 (23%) 17:50 (13%)	view
16	x 2	scripts scripts	cm_train.py edm_train.py	56:73 (12%) 31:48 (22%)	view
14	x 2	cm cm	train_util.py train_util.py	206:221 (2%) 500:516 (2%)	view
13	x 2	evaluations evaluations	inception_v3.py inception_v3.py	67:80 (4%) 175:188 (4%)	view
12	x 2	cm cm	karras_diffusion.py karras_diffusion.py	564:578 (1%) 696:710 (1%)	view
12	x 2	evaluations evaluations	inception_v3.py inception_v3.py	54:65 (3%) 162:173 (3%)	view
11	x 2	cm cm	karras_diffusion.py karras_diffusion.py	877:887 (1%) 911:921 (1%)	view
11	x 2	cm cm	karras_diffusion.py karras_diffusion.py	113:125 (1%) 247:259 (1%)	view
11	x 2	cm cm	karras_diffusion.py karras_diffusion.py	864:874 (1%) 911:921 (1%)	view
11	x 2	cm cm	karras_diffusion.py karras_diffusion.py	864:874 (1%) 877:887 (1%)	view
11	x 2	scripts scripts	image_sample.py ternary_search.py	122:132 (9%) 219:229 (5%)	view
11	x 2	cm cm	random_util.py random_util.py	34:44 (7%) 103:113 (7%)	view
10	x 2	cm cm	karras_diffusion.py karras_diffusion.py	760:772 (1%) 821:833 (1%)	view
10	x 2	cm cm	train_util.py train_util.py	187:196 (2%) 444:453 (2%)	view
10	x 2	cm cm	karras_diffusion.py karras_diffusion.py	774:783 (1%) 835:844 (1%)	view
10	x 2	cm cm	karras_diffusion.py karras_diffusion.py	896:905 (1%) 925:934 (1%)	view
10	x 2	cm cm	karras_diffusion.py karras_diffusion.py	723:732 (1%) 835:844 (1%)	view
10	x 2	cm cm	karras_diffusion.py karras_diffusion.py	723:732 (1%) 774:783 (1%)	view
9	x 2	cm cm	karras_diffusion.py karras_diffusion.py	760:769 (1%) 941:950 (1%)	view
9	x 2	scripts scripts	image_sample.py ternary_search.py	93:102 (8%) 116:126 (4%)	view
9	x 2	cm cm	karras_diffusion.py karras_diffusion.py	821:830 (1%) 941:950 (1%)	view
9	x 2	cm cm	random_util.py random_util.py	52:60 (6%) 120:128 (6%)	view
9	x 2	evaluations evaluations	evaluator.py th_evaluator.py	193:202 (1%) 188:197 (4%)	view
8	x 2	cm cm	unet.py unet.py	640:647 (1%) 717:724 (1%)	view
8	x 2	cm cm	unet.py unet.py	662:669 (1%) 677:684 (1%)	view
8	x 2	cm cm	script_util.py script_util.py	176:183 (3%) 187:194 (3%)	view
8	x 2	cm cm	karras_diffusion.py karras_diffusion.py	230:239 (1%) 323:332 (1%)	view
7	x 2	cm cm	karras_diffusion.py karras_diffusion.py	144:151 (<1%) 164:170 (<1%)	view
7	x 2	scripts scripts	image_sample.py ternary_search.py	135:143 (6%) 232:240 (3%)	view
7	x 2	cm cm	karras_diffusion.py karras_diffusion.py	645:652 (<1%) 687:693 (<1%)	view
7	x 2	cm cm	karras_diffusion.py karras_diffusion.py	580:588 (<1%) 712:721 (<1%)	view
7	x 2	scripts scripts	edm_train.py ternary_search.py	88:96 (9%) 232:240 (3%)	view
7	x 2	scripts scripts	edm_train.py image_sample.py	88:96 (9%) 135:143 (6%)	view
7	x 2	evaluations evaluations	inception_v3.py inception_v3.py	96:103 (2%) 212:219 (2%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	529:534 (<1%) 574:579 (<1%)	view
6	x 2	evaluations evaluations	inception_v3.py inception_v3.py	120:125 (1%) 137:142 (1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	555:560 (<1%) 590:595 (<1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	459:464 (<1%) 529:534 (<1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	508:517 (<1%) 561:570 (<1%)	view
6	x 2	evaluations evaluations	inception_v3.py inception_v3.py	45:50 (1%) 202:207 (1%)	view
6	x 2	cm cm	train_util.py train_util.py	478:483 (1%) 489:494 (1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	737:743 (<1%) 851:857 (<1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	459:464 (<1%) 574:579 (<1%)	view
6	x 2	cm cm	unet.py unet.py	625:630 (1%) 670:675 (1%)	view
6	x 2	cm cm	unet.py unet.py	91:96 (1%) 123:128 (1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	561:570 (<1%) 600:609 (<1%)	view
6	x 2	cm cm	karras_diffusion.py karras_diffusion.py	459:464 (<1%) 621:626 (<1%)	view