huggingface / feel File Size

Intro

File size measurements show the distribution of size of files.
Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

File Size Overall

Legend:

1001+

501-1000

201-500

101-200

1-100

File Size per Extension

1001+

501-1000

201-500

101-200

1-100

File Size per Logical Decomposition

primary

1001+

501-1000

201-500

101-200

1-100

Longest Files (Top 21)

File	# lines	# units
app.py in app	579	26
feel.yaml in ml	176	-
trainer.py in ml	166	5
kto_dataset_processor.py in ml	134	2
generate_dpo.py in data	120	5
generate.py in ml/eval	84	7
reward_eval.py in ml/eval	71	6
bt.py in ml/eval	68	5
generate_sanity_check.py in ml/eval	56	-
dataset_transformer.py in ml	50	2
evaluate_arguments.py in ml/eval	42	1
trl_rlhf_data.py in ml	42	3
adapter_metadata.py in ml	31	4
evaluation_pipeline.py in ml/eval	29	1
dpo_pipeline.py in ml	28	1
utils.py in ml/eval	27	4
alpaca.py in ml/eval	25	2
pyproject.toml in root	22	-
feedback.py in app	20	1
tempCodeRunnerFile.py in app	1	-
__init__.py in ml/eval	1	-

Files With Most Units (Top 16)

File	# lines	# units
app.py in app	579	26
generate.py in ml/eval	84	7
reward_eval.py in ml/eval	71	6
generate_dpo.py in data	120	5
bt.py in ml/eval	68	5
trainer.py in ml	166	5
utils.py in ml/eval	27	4
adapter_metadata.py in ml	31	4
trl_rlhf_data.py in ml	42	3
alpaca.py in ml/eval	25	2
dataset_transformer.py in ml	50	2
kto_dataset_processor.py in ml	134	2
feedback.py in app	20	1
evaluation_pipeline.py in ml/eval	29	1
evaluate_arguments.py in ml/eval	42	1
dpo_pipeline.py in ml	28	1

Files With Long Lines (Top 6)

There are 6 files with lines longer than 120 characters. In total, there are 18 long lines.

File	# lines	# units	# long lines
evaluate_arguments.py in ml/eval	42	1	6
reward_eval.py in ml/eval	71	6	5
evaluation_pipeline.py in ml/eval	29	1	3
generate_dpo.py in data	120	5	2
app.py in app	579	26	1
kto_dataset_processor.py in ml	134	2	1