amazon-research / transformer-gan
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 36 files with 5,167 lines of code.
    • 0 very long files (0 lines of code)
    • 2 long files (1,590 lines of code)
    • 4 medium size files (1,550 lines of codeclsfd_ftr_w_mp_ins)
    • 9 small files (1,241 lines of code)
    • 21 very small files (786 lines of code)
0% | 30% | 29% | 24% | 15%
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% | 32% | 31% | 25% | 10%
yml0% | 0% | 0% | 0% | 100%
cfg0% | 0% | 0% | 0% | 100%
in0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
model0% | 34% | 55% | 8% | 2%
BERT0% | 89% | 0% | 0% | 10%
model/utils0% | 0% | 0% | 59% | 40%
data0% | 0% | 0% | 99% | <1%
metrics0% | 0% | 0% | 100% | 0%
model/training_config0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
model/inference_config0% | 0% | 0% | 0% | 100%
Longest Files (Top 36)
File# lines# units
train.py
in model
 969 16
main.py
in BERT
 621 11
mem_transformer.py
in model
 452 24
transformer_gan.py
in model
 420 8
data_utils.py
in model
 411 27
generate.py
in model
 267 4
performance_event_repo.py
in data
 183 18
bert_score.py
in metrics
 160 5
classifier.py
in model/utils
 159 11
music_encoder.py
in data
 146 8
config_helper.py
in model/utils
 135 6
discriminator.py
in model
 121 11
lamb.py
in model
 117 5
helpers.py
in model/utils
 115 8
proj_adaptive_softmax.py
in model/utils
 105 3
bleu.py
in model/utils
 95 13
experiment_spanbert.yml
in model/training_config
 75 -
tokenization_midi.py
in BERT
 74 4
data_parallel.py
in model/utils
 73 6
adaptive_softmax.py
in model/utils
 62 2
batch_generate.py
in model
 59 1
log_uniform_sampler.py
in model/utils
 54 3
cfg
setup.cfg
in root
 49 -
experiment_baseline.yml
in model/training_config
 45 -
experiment_cnn.yml
in model/training_config
 44 -
exp_utils.py
in model/utils
 36 2
config_inference.py
in model/utils
 35 1
inference_conditional.yml
in model/inference_config
 23 -
inference_unconditional.yml
in model/inference_config
 23 -
setup.py
in root
 20 -
utils.py
in root
 14 1
__init__.py
in root
 1 -
__init__.py
in BERT
 1 -
__init__.py
in model
 1 -
__init__.py
in data
 1 -
in
MANIFEST.in
in root
 1 -
Files With Most Units (Top 20)
File# lines# units
data_utils.py
in model
 411 27
mem_transformer.py
in model
 452 24
performance_event_repo.py
in data
 183 18
train.py
in model
 969 16
bleu.py
in model/utils
 95 13
main.py
in BERT
 621 11
classifier.py
in model/utils
 159 11
discriminator.py
in model
 121 11
helpers.py
in model/utils
 115 8
transformer_gan.py
in model
 420 8
music_encoder.py
in data
 146 8
data_parallel.py
in model/utils
 73 6
config_helper.py
in model/utils
 135 6
lamb.py
in model
 117 5
bert_score.py
in metrics
 160 5
tokenization_midi.py
in BERT
 74 4
generate.py
in model
 267 4
log_uniform_sampler.py
in model/utils
 54 3
proj_adaptive_softmax.py
in model/utils
 105 3
exp_utils.py
in model/utils
 36 2
Files With Long Lines (Top 4)

There are 4 files with lines longer than 120 characters. In total, there are 15 long lines.

File# lines# units# long lines
transformer_gan.py
in model
 420 8 9
bert_score.py
in metrics
 160 5 3
batch_generate.py
in model
 59 1 2
generate.py
in model
 267 4 1