uber / causalml 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

28% duplication:

15,420 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
4,365 duplicated lines

422 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 422 duplicates...

Size	#	Folders	Files	Lines	Code
124	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_tree.pyx _builder.pyx	425:591 (10%) 322:488 (30%)	view
70	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_tree.pyx _builder.pyx	284:383 (5%) 176:275 (17%)	view
68	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py base.py	625:753 (11%) 130:258 (35%)	view
37	x 2	causalml/inference/meta causalml/inference/meta	slearner.py tlearner.py	207:265 (16%) 211:267 (14%)	view
37	x 2	causalml/inference/meta causalml/inference/meta	rlearner.py rlearner.py	127:175 (8%) 470:518 (8%)	view
36	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_tree.pyx _builder.pyx	616:662 (3%) 528:572 (8%)	view
34	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_tree.pyx _builder.pyx	218:258 (2%) 112:152 (8%)	view
33	x 2	causalml/inference/meta causalml/inference/meta	xlearner.py xlearner.py	152:205 (8%) 574:628 (8%)	view
31	x 2	causalml/inference/meta causalml/inference/meta	xlearner.py xlearner.py	92:140 (7%) 506:554 (7%)	view
30	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py base.py	781:835 (5%) 286:340 (15%)	view
28	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	32:75 (4%) 30:72 (6%)	view
26	x 2	causalml/inference/tree causalml/inference/tree	utils.py utils.py	154:179 (12%) 208:233 (12%)	view
25	x 2	causalml/inference/tree causalml/inference/tree	uplift.pyx uplift.pyx	1208:1235 (1%) 1551:1578 (1%)	view
24	x 2	causalml/inference/meta causalml/inference/meta	slearner.py tlearner.py	127:154 (10%) 128:155 (9%)	view
22	x 2	causalml/inference/meta causalml/inference/meta	rlearner.py rlearner.py	86:124 (4%) 427:465 (4%)	view
22	x 2	causalml/inference/meta causalml/inference/meta	base.py base.py	131:177 (11%) 201:247 (11%)	view
22	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py base.py	696:742 (3%) 131:177 (11%)	view
22	x 2	causalml/inference/iv causalml/inference/iv	drivlearner.py drivlearner.py	626:672 (3%) 696:742 (3%)	view
22	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py base.py	626:672 (3%) 201:247 (11%)	view
22	x 2	causalml/inference/iv causalml/inference/iv	drivlearner.py drivlearner.py	367:389 (3%) 480:502 (3%)	view
21	x 2	causalml/metrics causalml/metrics	visualize.py visualize.py	349:388 (3%) 460:499 (3%)	view
21	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	297:322 (3%) 247:272 (5%)	view
20	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_criterion.pyx _criterion.pyx	869:895 (2%) 135:167 (4%)	view
19	x 2	causalml/metrics causalml/metrics	rate.py visualize.py	20:75 (12%) 247:291 (3%)	view
19	x 2	causalml/metrics causalml/metrics	visualize.py visualize.py	116:159 (3%) 247:291 (3%)	view
19	x 2	causalml/metrics causalml/metrics	rate.py visualize.py	20:75 (12%) 116:159 (3%)	view
18	x 2	causalml/inference/meta causalml/inference/meta	drlearner.py tlearner.py	437:457 (4%) 253:273 (7%)	view
18	x 2	causalml/inference/tree causalml/inference/tree	uplift.pyx uplift.pyx	1306:1324 (<1%) 1459:1477 (<1%)	view
17	x 2	causalml/inference/meta causalml/inference/meta	drlearner.py drlearner.py	505:532 (4%) 540:570 (4%)	view
17	x 2	causalml/inference/tree/_tree causalml/inference/tree/causal	_tree.pyx _builder.pyx	173:198 (1%) 58:83 (4%)	view
17	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	135:152 (2%) 117:133 (4%)	view
17	x 2	causalml/inference/tree/_tree causalml/inference/tree/_tree	_splitter.pyx _splitter.pyx	1537:1554 (1%) 1597:1613 (1%)	view
17	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	843:871 (2%) 505:532 (4%)	view
17	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	843:871 (2%) 540:570 (4%)	view
17	x 2	causalml/inference/tree causalml/inference/tree	uplift.pyx uplift.pyx	587:605 (<1%) 805:823 (<1%)	view
17	x 2	causalml/inference/tree/_tree causalml/inference/tree/_tree	_splitter.pyx _splitter.pyx	1507:1524 (1%) 1567:1584 (1%)	view
16	x 2	causalml/inference/tree causalml/inference/tree	uplift.pyx uplift.pyx	1816:1832 (<1%) 1895:1912 (<1%)	view
15	x 2	causalml/inference/tree/_tree causalml/inference/tree/_tree	_splitter.pyx _splitter.pyx	1518:1533 (1%) 1548:1563 (1%)	view
15	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	555:572 (2%) 446:463 (3%)	view
15	x 2	causalml/inference/meta causalml/inference/meta	drlearner.py slearner.py	265:280 (3%) 138:153 (6%)	view
15	x 2	causalml/inference/meta causalml/inference/meta	tlearner.py tlearner.py	305:328 (5%) 336:359 (5%)	view
15	x 2	causalml/inference/meta causalml/inference/meta	drlearner.py tlearner.py	265:280 (3%) 139:154 (5%)	view
15	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	414:433 (2%) 351:370 (3%)	view
15	x 2	causalml/inference/tree/_tree causalml/inference/tree/_tree	_splitter.pyx _splitter.pyx	1578:1593 (1%) 1608:1622 (1%)	view
14	x 2	causalml/inference/tree causalml/inference/tree	uplift.pyx uplift.pyx	917:931 (<1%) 961:975 (<1%)	view
14	x 2	causalml/inference/iv causalml/inference/meta	drivlearner.py drlearner.py	394:408 (2%) 318:332 (3%)	view
14	x 2	causalml/dataset causalml/dataset	semiSynthetic.py semiSynthetic.py	326:342 (2%) 637:653 (2%)	view
14	x 2	causalml/inference/tree/_tree causalml/inference/tree/_tree	_splitter.pyx _splitter.pyx	356:402 (1%) 728:773 (1%)	view
13	x 2	causalml/inference/meta causalml/inference/meta	rlearner.py rlearner.py	450:465 (2%) 605:620 (2%)	view
13	x 2	causalml/inference/meta causalml/inference/meta	slearner.py tlearner.py	179:195 (5%) 183:199 (5%)	view