facebookresearch / UNLU
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 54 files with 9,713 lines of code.
    • 1 very long files (1,016 lines of code)
    • 4 long files (2,997 lines of code)
    • 13 medium size files (3,964 lines of codeclsfd_ftr_w_mp_ins)
    • 4 small files (477 lines of code)
    • 32 very small files (1,259 lines of code)
10% | 30% | 40% | 4% | 12%
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
py10% | 31% | 39% | 5% | 12%
yaml0% | 0% | 100% | 0% | 0%
sed0% | 0% | 0% | 0% | 100%
bash0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
anli/src26% | 49% | 6% | 6% | 10%
infersent_comp0% | 60% | 25% | 0% | 14%
infersent_comp/encoder0% | 91% | 0% | 0% | 8%
codes0% | 0% | 75% | 12% | 11%
codes/rnn_training0% | 0% | 100% | 0% | 0%
anli0% | 0% | 99% | 0% | <1%
dataset_utils0% | 0% | 100% | 0% | 0%
ROOT0% | 0% | 78% | 0% | 21%
utils0% | 0% | 0% | 0% | 100%
infersent_comp/dataset0% | 0% | 0% | 0% | 100%
dataset_utils/mnli0% | 0% | 0% | 0% | 100%
dataset_utils/snli0% | 0% | 0% | 0% | 100%
dataset_utils/ocnli0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
train_with_scramble.py
in anli/src/nli
 1016 17
training.py
in anli/src/nli
 940 17
train_with_confidence.py
in anli/src/nli
 933 18
models.py
in infersent_comp
 562 39
models.py
in infersent_comp/encoder
 562 39
word_randomization.py
in codes
 475 23
train_nli_ray.py
in codes/rnn_training
 462 4
train_nli_w2v.py
in codes/rnn_training
 427 4
run_causal_lm.py
in anli
 332 3
rnn_models.py
in codes
 331 11
data_iterator.py
in dataset_utils
 315 5
min_tree.py
in codes
 282 14
plot.py
in codes
 243 7
train_nli.py
in infersent_comp
 238 2
evaluation.py
in anli/src/nli
 237 2
config.yaml
in root
 210 -
random_eval.py
in codes
 207 4
Non_transformers_probe.py
in codes/rnn_training
 205 6
models.py
in codes
 133 16
build_data.py
in anli/src/dataset_tools
 119 6
rnn.py
in codes
 113 8
inference_debug.py
in anli/src/nli
 112 3
mnli_preprocess.py
in dataset_utils/mnli
 84 6
table.py
in codes
 79 -
data.py
in infersent_comp
 78 6
format_convert.py
in anli/src/dataset_tools
 74 4
list_dict_data_tool.py
in anli/src/utils
 71 5
common.py
in codes
 57 9
common.py
in anli/src/utils
 56 9
main.py
in root
 56 2
bleu_extract.py
in codes
 55 1
mutils.py
in infersent_comp
 53 3
snli_preprocess.py
in dataset_utils/snli
 53 6
sed
tokenizer.sed
in infersent_comp/dataset
 52 -
extract_features.py
in infersent_comp/encoder
 51 -
prepare_nli_lm_data.py
in anli/src
 50 -
reformat.py
in codes
 50 -
save_tool.py
in anli/src/utils
 49 5
optim.py
in utils
 45 4
batchbuilder.py
in anli/src/flint/data_utils
 42 4
fields.py
in anli/src/flint/data_utils
 41 6
ocnli_preprocess.py
in dataset_utils/ocnli
 41 2
get_data.bash
in infersent_comp/dataset
 37 -
eval_metric.py
in utils
 29 2
transformer_utils.py
in utils
 26 2
prepare_lm_data.py
in anli/src
 17 -
config.py
in anli/src
 6 -
__init__.py
in anli
 1 -
__init__.py
in anli/src/nli
 1 -
__init__.py
in anli/src/utils
 1 -
Files With Most Units (Top 20)
File# lines# units
models.py
in infersent_comp
 562 39
models.py
in infersent_comp/encoder
 562 39
word_randomization.py
in codes
 475 23
train_with_confidence.py
in anli/src/nli
 933 18
train_with_scramble.py
in anli/src/nli
 1016 17
training.py
in anli/src/nli
 940 17
models.py
in codes
 133 16
min_tree.py
in codes
 282 14
rnn_models.py
in codes
 331 11
common.py
in anli/src/utils
 56 9
common.py
in codes
 57 9
rnn.py
in codes
 113 8
plot.py
in codes
 243 7
build_data.py
in anli/src/dataset_tools
 119 6
fields.py
in anli/src/flint/data_utils
 41 6
data.py
in infersent_comp
 78 6
Non_transformers_probe.py
in codes/rnn_training
 205 6
snli_preprocess.py
in dataset_utils/snli
 53 6
mnli_preprocess.py
in dataset_utils/mnli
 84 6
save_tool.py
in anli/src/utils
 49 5
Files With Long Lines (Top 9)

There are 9 files with lines longer than 120 characters. In total, there are 20 long lines.

File# lines# units# long lines
Non_transformers_probe.py
in codes/rnn_training
 205 6 8
run_causal_lm.py
in anli
 332 3 4
train_with_scramble.py
in anli/src/nli
 1016 17 2
inference_debug.py
in anli/src/nli
 112 3 1
training.py
in anli/src/nli
 940 17 1
batchbuilder.py
in anli/src/flint/data_utils
 42 4 1
optim.py
in utils
 45 4 1
train_nli.py
in infersent_comp
 238 2 1
rnn.py
in codes
 113 8 1