openai / glide-text2im

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

40% duplication:

3,218 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,290 duplicated lines

417 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 417 duplicates...

Size	#	Folders	Files	Lines	Code
83	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	164:246 (33%) 169:251 (33%)	view
60	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	33:92 (24%) 30:89 (23%)	view
47	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	97:143 (19%) 82:128 (18%)	view
36	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	206:241 (11%) 168:203 (14%)	view
35	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	164:198 (14%) 207:241 (11%)	view
34	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	269:302 (11%) 218:251 (13%)	view
34	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	136:169 (11%) 111:144 (13%)	view
34	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	213:246 (13%) 269:302 (11%)	view
31	x 2	glide_text2im/tokenizer glide_text2im/tokenizer	bpe.py simple_tokenizer.py	95:127 (28%) 116:148 (26%)	view
31	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	27:57 (10%) 23:53 (12%)	view
24	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	33:56 (9%) 34:57 (7%)	view
23	x 2	glide_text2im/tokenizer glide_text2im/tokenizer	bpe.py simple_tokenizer.py	15:51 (21%) 20:56 (19%)	view
22	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	1:22 (8%) 1:22 (8%)	view
22	x 2	glide_text2im glide_text2im	text2im_model.py unet.py	202:225 (12%) 606:629 (4%)	view
19	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	1:19 (7%) 1:19 (6%)	view
19	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	1:19 (6%) 1:19 (7%)	view
18	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	126:143 (7%) 136:153 (5%)	view
18	x 2	glide_text2im glide_text2im	text2im_model.py unet.py	175:194 (10%) 579:598 (4%)	view
14	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	414:440 (3%) 587:611 (3%)	view
13	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	87:99 (4%) 81:93 (5%)	view
12	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	97:108 (4%) 88:99 (3%)	view
12	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	542:553 (3%) 576:587 (3%)	view
11	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	65:75 (4%) 67:77 (3%)	view
11	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	194:204 (3%) 157:167 (4%)	view
11	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	358:368 (2%) 404:414 (2%)	view
11	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	67:77 (3%) 62:72 (4%)	view
10	x 2	glide_text2im glide_text2im	text2im_model.py unet.py	151:162 (5%) 557:568 (2%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	454:463 (2%) 504:513 (2%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	404:413 (2%) 542:551 (2%)	view
10	x 2	notebooks notebooks	inpaint.ipynb inpaint.ipynb	186:195 (3%) 247:256 (3%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	469:478 (2%) 518:527 (2%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	404:413 (2%) 576:585 (2%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	358:367 (2%) 576:585 (2%)	view
10	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	358:367 (2%) 542:551 (2%)	view
10	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	177:186 (3%) 148:157 (3%)	view
10	x 2	glide_text2im/clip glide_text2im/clip	encoders.py encoders.py	377:387 (2%) 462:472 (2%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	168:176 (3%) 111:119 (3%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	84:92 (3%) 87:95 (2%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb text2im.ipynb	126:134 (3%) 173:181 (3%)	view
9	x 2	notebooks notebooks	text2im.ipynb text2im.ipynb	111:119 (3%) 173:181 (3%)	view
9	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	136:144 (2%) 173:181 (3%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb clip_guided.ipynb	126:134 (3%) 168:176 (3%)	view
9	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	107:115 (2%) 95:103 (3%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	168:176 (3%) 136:144 (2%)	view
9	x 2	notebooks notebooks	inpaint.ipynb inpaint.ipynb	136:144 (2%) 211:219 (2%)	view
9	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	390:398 (2%) 561:569 (2%)	view
9	x 2	notebooks notebooks	inpaint.ipynb text2im.ipynb	211:219 (2%) 111:119 (3%)	view
9	x 2	notebooks notebooks	clip_guided.ipynb inpaint.ipynb	110:118 (3%) 107:115 (2%)	view
9	x 2	glide_text2im/clip glide_text2im/clip	encoders.py encoders.py	356:364 (2%) 437:445 (2%)	view
9	x 2	glide_text2im glide_text2im	gaussian_diffusion.py gaussian_diffusion.py	322:347 (2%) 463:476 (2%)	view