facebookresearch / libri-light
File Size

The distribution of size of files (measured in lines of code).

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.
Learn more...
File Size Overall
  • There are 66 files with 4,779 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 6 medium size files (1,445 lines of codeclsfd_ftr_w_mp_ins)
    • 9 small files (1,242 lines of code)
    • 51 very small files (2,092 lines of code)
0% | 0% | 30% | 25% | 43%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 33% | 29% | 37%
cfg0% | 0% | 0% | 0% | 100%
pyx0% | 0% | 0% | 0% | 100%
yml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
eval0% | 0% | 56% | 43% | 0%
eval/ABX_src0% | 0% | 62% | 23% | 14%
data_preparation/metadata_completion0% | 0% | 37% | 21% | 40%
data_preparation0% | 0% | 31% | 14% | 54%
data_preparation/split_librilight0% | 0% | 42% | 27% | 30%
eval/PER_src0% | 0% | 0% | 88% | 11%
data_preparation/text_retrieval0% | 0% | 0% | 32% | 67%
baselines/TDS0% | 0% | 0% | 0% | 100%
data_preparation/rebuild_limited_train0% | 0% | 0% | 0% | 100%
eval/WER_src0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
abx_iterators.py
in eval/ABX_src
 299 30
utilities.py
in data_preparation/metadata_completion
 246 24
download_librivox.py
in data_preparation
 241 11
eval_WER.py
in eval
 236 11
puts_json.py
in data_preparation/split_librilight
 213 9
eval_PER.py
in eval
 210 7
CPC_loader.py
in eval
 180 20
simplePhonemLearner.py
in eval/PER_src
 171 12
eval_ABX.py
in eval
 160 7
DuplicateSearch.py
in data_preparation/metadata_completion
 140 7
split.py
in data_preparation/split_librilight
 137 7
bartleby.py
in data_preparation/text_retrieval
 116 12
seq_alignment.py
in eval/PER_src
 116 6
calculate_snr.py
in data_preparation
 111 6
abx_group_computation.py
in eval/ABX_src
 111 10
text_cleaner.py
in data_preparation/metadata_completion
 99 3
utils.py
in data_preparation/rebuild_limited_train
 97 8
hathitrust.py
in data_preparation/text_retrieval
 96 9
simple_dataset.py
in eval/WER_src
 90 6
make_vad_inputs.py
in data_preparation
 88 5
ReaderScapper.py
in data_preparation/metadata_completion
 82 7
complete_metadata.py
in data_preparation
 81 2
main_lesson.py
in data_preparation/text_retrieval
 78 12
cut_by_vad.py
in data_preparation
 77 5
unzip_and_convert.py
in data_preparation
 70 3
prepare_vads.py
in data_preparation/split_librilight
 67 4
GenreScrapper.py
in data_preparation/metadata_completion
 66 7
wl_decoder.py
in eval/WER_src
 62 3
pyx
dtw.pyx
in eval/ABX_src
 59 1
plot.py
in data_preparation
 57 4
materialize_split.py
in data_preparation/split_librilight
 53 3
sample_10h.py
in data_preparation/rebuild_limited_train
 53 2
build_all_stats.py
in data_preparation
 48 -
select_1h.py
in data_preparation/rebuild_limited_train
 46 2
archive_org.py
in data_preparation/text_retrieval
 45 4
letter_ctc.py
in eval/WER_src
 41 5
split_1h_in10min.py
in data_preparation/rebuild_limited_train
 36 2
cfg
1h+pseudo-label_letter_37M_TDS.cfg
in baselines/TDS/experiments/config/training
 35 -
cfg
10h+pseudo-label_letter_37M_TDS.cfg
in baselines/TDS/experiments/config/training
 35 -
cfg
10h+pseudo-label_phone_37M_TDS.cfg
in baselines/TDS/experiments/config/training
 34 -
cfg
1h+pseudo-label_phone_37M_TDS.cfg
in baselines/TDS/experiments/config/training
 34 -
get_stats.py
in data_preparation/rebuild_limited_train
 33 1
extract_test_speakers.py
in data_preparation/split_librilight
 32 2
pyx
per_operator.pyx
in eval/PER_src
 31 1
cfg
10h_phone_20M_TDS.cfg
in baselines/TDS/experiments/config/training
 31 -
cfg
1h_phone_20M_TDS.cfg
in baselines/TDS/experiments/config/training
 31 -
cfg
10h_letter_20M_TDS.cfg
in baselines/TDS/experiments/config/training
 31 -
cfg
1h_letter_20M_TDS.cfg
in baselines/TDS/experiments/config/training
 31 -
clean_texts.py
in data_preparation/rebuild_limited_train
 23 1
environment.yml
in root
 22 -
Files With Most Units (Top 20)
File# lines# units
abx_iterators.py
in eval/ABX_src
 299 30
utilities.py
in data_preparation/metadata_completion
 246 24
CPC_loader.py
in eval
 180 20
bartleby.py
in data_preparation/text_retrieval
 116 12
main_lesson.py
in data_preparation/text_retrieval
 78 12
simplePhonemLearner.py
in eval/PER_src
 171 12
download_librivox.py
in data_preparation
 241 11
eval_WER.py
in eval
 236 11
abx_group_computation.py
in eval/ABX_src
 111 10
puts_json.py
in data_preparation/split_librilight
 213 9
hathitrust.py
in data_preparation/text_retrieval
 96 9
utils.py
in data_preparation/rebuild_limited_train
 97 8
split.py
in data_preparation/split_librilight
 137 7
ReaderScapper.py
in data_preparation/metadata_completion
 82 7
GenreScrapper.py
in data_preparation/metadata_completion
 66 7
DuplicateSearch.py
in data_preparation/metadata_completion
 140 7
eval_ABX.py
in eval
 160 7
eval_PER.py
in eval
 210 7
calculate_snr.py
in data_preparation
 111 6
seq_alignment.py
in eval/PER_src
 116 6
Files With Long Lines (Top 8)

There are 8 files with lines longer than 120 characters. In total, there are 17 long lines.

File# lines# units# long lines
genre_folding.py
in data_preparation/metadata_completion
 18 - 8
split.py
in data_preparation/split_librilight
 137 7 2
sample_10h.py
in data_preparation/rebuild_limited_train
 53 2 2
puts_json.py
in data_preparation/split_librilight
 213 9 1
get_stats.py
in data_preparation/rebuild_limited_train
 33 1 1
simplePhonemLearner.py
in eval/PER_src
 171 12 1
seq_alignment.py
in eval/PER_src
 116 6 1
eval_WER.py
in eval
 236 11 1