huggingface / ultravox 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

4% duplication:

6,196 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
295 duplicated lines

25 duplicates

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

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 25 longest duplicates.

See data for all 25 duplicates...

Size	#	Folders	Files	Lines	Code
18	x 2	ultravox/evaluation/configs ultravox/evaluation/configs	eval_config.yaml eval_config_2k.yaml	1:20 (94%) 1:20 (81%)	view
18	x 2	ultravox/tools ultravox/tools	gradio_demo.py gradio_voice.py	124:141 (16%) 79:96 (24%)	view
14	x 2	ROOT ROOT	mcloud_eval.yaml mcloud_oaieval.yaml	3:16 (66%) 3:16 (66%)	view
11	x 2	ultravox/tools/ds_tool ultravox/tools/ds_tool	ds_tool.py ds_tool.py	86:98 (2%) 146:157 (2%)	view
11	x 2	ultravox/tools/ds_tool ultravox/tools/ds_tool	ds_tool.py ds_tool.py	146:157 (2%) 236:248 (2%)	view
11	x 2	ultravox/tools/ds_tool ultravox/tools/ds_tool	ds_tool.py ds_tool.py	86:98 (2%) 236:248 (2%)	view
10	x 2	ROOT ROOT	mcloud_eval.yaml mcloud_train.yaml	3:12 (47%) 3:12 (41%)	view
10	x 2	ROOT ROOT	mcloud_oaieval.yaml mcloud_train.yaml	3:12 (47%) 3:12 (41%)	view
8	x 2	ultravox/tools/ds_tool ultravox/tools/ds_tool	chunked_dataset.py chunked_dataset.py	214:221 (2%) 320:327 (2%)	view
8	x 2	ultravox/model ultravox/model	ultravox_model.py ultravox_model.py	326:333 (1%) 340:347 (1%)	view
8	x 2	ultravox/evaluation ultravox/training	eval.py train.py	250:257 (3%) 325:332 (3%)	view
7	x 2	ultravox/evaluation ultravox/training	eval.py config_base.py	50:57 (3%) 173:180 (5%)	view
6	x 2	ultravox/data/configs ultravox/data/configs	audiobench.py audiobench.py	38:43 (11%) 50:55 (11%)	view
6	x 2	ultravox/inference ultravox/tools	infer.py infer_api.py	136:141 (2%) 39:44 (3%)	view
6	x 2	ultravox/evaluation/configs ultravox/training/configs	eval_config.yaml meta_config.yaml	14:19 (31%) 14:19 (18%)	view
6	x 2	ultravox/inference ultravox/inference	infer.py infer.py	95:100 (2%) 169:174 (2%)	view
6	x 2	ultravox/inference ultravox/tools	infer.py infer_api.py	80:85 (2%) 131:136 (3%)	view
6	x 2	ultravox/inference ultravox/tools	infer.py infer_api.py	80:85 (2%) 108:113 (3%)	view
6	x 2	ultravox/data/configs ultravox/data/configs	audiobench.py audiobench.py	14:19 (11%) 26:31 (11%)	view
6	x 2	ultravox/tools/ds_tool ultravox/tools/ds_tool	chunked_dataset.py chunked_dataset.py	364:369 (1%) 388:393 (1%)	view
6	x 2	ultravox/inference ultravox/tools	infer.py infer_api.py	80:85 (2%) 21:26 (3%)	view
6	x 2	ultravox/evaluation/configs ultravox/training/configs	eval_config_2k.yaml meta_config.yaml	14:19 (27%) 14:19 (18%)	view
6	x 2	ultravox/tools ultravox/tools	infer_api.py infer_api.py	108:113 (3%) 131:136 (3%)	view
6	x 2	ultravox/tools ultravox/tools	infer_api.py infer_api.py	21:26 (3%) 131:136 (3%)	view
6	x 2	ultravox/tools ultravox/tools	infer_api.py infer_api.py	21:26 (3%) 108:113 (3%)	view