Duplication · deepseek-ai/DeepSeek-VL2

Duplication Overall

9% duplication:

4,706 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
427 duplicated lines

32 duplicates

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

Duplication per Extension

Duplication per Component (primary)

Duplication Between Components (50+ lines)

flowchart TB
    n0["deepseek_vl2"]
    n1["ROOT"]
    n0 ---|"52"| n1
    classDef default fill:#00b2ee,stroke:#ffffff,color:#000000;
    classDef highlighted fill:#00b2ee,stroke:#ffffff,color:#000000;
    linkStyle 0 stroke:#DC143CFF,stroke-width:10px

Download: Mermaid (.mmd) (open online Mermaid editor)

2D force graph | 3D force graph

Show more details on duplication between components...

From Component --> To Component	Duplicated Lines	File Pairs	Details
deepseek_vl2 (<1%) --> ROOT (4%)	52	2 file pairs	details...

Longest Duplicates

The list of 32 longest duplicates.

See data for all 32 duplicates...

Size	#	Folders	Files	Lines	Code
15	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	448:462 (1%) 472:486 (1%)	view
14	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py	1485:1499 (<1%) 580:594 (2%)	view
13	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	851:865 (<1%) 974:991 (<1%)	view
12	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	161:173 (<1%) 190:202 (<1%)	view
12	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	1657:1668 (<1%) 1878:1889 (<1%)	view
12	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py	1831:1843 (<1%) 679:691 (2%)	view
11	x 2	ROOT ROOT	web_demo.py web_demo.py	303:313 (2%) 420:430 (2%)	view
10	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	841:850 (<1%) 957:967 (<1%)	view
10	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	1485:1494 (<1%) 1696:1705 (<1%)	view
10	x 2	ROOT ROOT	web_demo.py web_demo.py	303:312 (2%) 442:451 (2%)	view
10	x 2	ROOT ROOT	web_demo.py web_demo.py	420:429 (2%) 442:451 (2%)	view
10	x 2	deepseek_vl2/serve ROOT	inference.py inference.py	165:174 (7%) 125:135 (11%)	view
10	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py	1696:1705 (<1%) 580:589 (2%)	view
10	x 2	deepseek_vl2/utils ROOT	io.py inference.py	44:74 (45%) 30:60 (11%)	view
8	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	1471:1478 (<1%) 1877:1884 (<1%)	view
8	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	1713:1720 (<1%) 1903:1910 (<1%)	view
8	x 2	ROOT ROOT	web_demo.py web_demo.py	305:312 (1%) 591:598 (1%)	view
8	x 2	ROOT ROOT	web_demo.py web_demo.py	422:429 (1%) 591:598 (1%)	view
8	x 2	ROOT ROOT	web_demo.py web_demo.py	444:451 (1%) 591:598 (1%)	view
8	x 2	deepseek_vl2/models deepseek_vl2/models	siglip_vit.py siglip_vit.py	589:596 (1%) 600:607 (1%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	conversation.py conversation.py	48:54 (3%) 60:66 (3%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	conversation.py conversation.py	76:82 (3%) 90:96 (3%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	conversation.py conversation.py	220:241 (3%) 250:258 (3%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	conversation.py conversation.py	294:300 (3%) 304:310 (3%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	161:167 (<1%) 264:270 (<1%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	190:196 (<1%) 264:270 (<1%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	1472:1478 (<1%) 1657:1663 (<1%)	view
7	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek_vl_v2.py modeling_deepseek_vl_v2.py	491:497 (1%) 595:601 (1%)	view
6	x 2	deepseek_vl2/models deepseek_vl2/models	conversation.py conversation.py	266:271 (2%) 283:288 (2%)	view
6	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py	835:841 (<1%) 1255:1261 (<1%)	view
6	x 2	deepseek_vl2/serve ROOT	inference.py inference.py	152:157 (4%) 112:117 (6%)	view
6	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py	1717:1722 (<1%) 614:619 (1%)	view

Most Frequent Duplicates

The list of 14 most frequently found duplicates.

Size	#	Folders	Files	Lines	Code
6	x 4	ROOT ROOT ROOT ROOT	web_demo.py web_demo.py web_demo.py web_demo.py	305:310 (1%) 422:427 (1%) 444:449 (1%) 591:596 (1%)	view
6	x 4	ROOT ROOT ROOT ROOT	web_demo.py web_demo.py web_demo.py web_demo.py	307:312 (1%) 424:429 (1%) 446:451 (1%) 593:598 (1%)	view
6	x 4	ROOT ROOT ROOT ROOT	web_demo.py web_demo.py web_demo.py web_demo.py	306:311 (1%) 423:428 (1%) 445:450 (1%) 592:597 (1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py modeling_deepseek.py	162:167 (<1%) 191:196 (<1%) 265:270 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py modeling_deepseek.py	1488:1493 (<1%) 583:588 (1%) 1699:1704 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py modeling_deepseek.py	1472:1477 (<1%) 1657:1662 (<1%) 1878:1883 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py modeling_deepseek.py	161:166 (<1%) 190:195 (<1%) 264:269 (<1%)	view
6	x 3	ROOT ROOT ROOT	web_demo.py web_demo.py web_demo.py	303:308 (1%) 420:425 (1%) 442:447 (1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py modeling_deepseek.py	1487:1492 (<1%) 582:587 (1%) 1698:1703 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek.py modeling_deepseek.py	1473:1478 (<1%) 1658:1663 (<1%) 1879:1884 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py modeling_deepseek.py	1489:1494 (<1%) 584:589 (1%) 1700:1705 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py modeling_deepseek.py	1485:1490 (<1%) 580:585 (1%) 1696:1701 (<1%)	view
6	x 3	deepseek_vl2/models deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py modeling_deepseek.py	1486:1491 (<1%) 581:586 (1%) 1697:1702 (<1%)	view
6	x 3	ROOT ROOT ROOT	web_demo.py web_demo.py web_demo.py	304:309 (1%) 421:426 (1%) 443:448 (1%)	view

Duplicated Units

The list of top 2 duplicated units.

See data for all 2 unit duplicates...

Size	#	Folders	Files	Lines	Code
22	x 2	deepseek_vl2/utils ROOT	io.py inference.py	44:74 30:60	view
8	x 2	deepseek_vl2/models deepseek_vl2/models	modeling_deepseek.py modeling_deepseek_vl_v2.py	1834:1843 682:691	view

About This Analysis

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."