openai / consistency_models_cifar10

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 32)

File	# lines	# units
losses.py in jcm	864	17
sampling.py in jcm	547	38
layers.py in jcm/models	499	26
sde_lib.py in jcm	362	45
evaluate.py in jcm	316	1
ncsnv2.py in jcm/models	279	5
utils.py in jcm/models	268	18
train.py in jcm	256	1
up_or_down_sampling.py in jcm/models	210	12
ncsnpp.py in jcm/models	206	2
metrics.py in jcm	198	13
layerspp.py in jcm/models	180	7
wideresnet_noise_conditional.py in jcm/models	160	11
normalization.py in jcm/models	117	7
datasets.py in jcm	107	4
checkpoints.py in jcm	96	6
likelihood.py in jcm	86	5
ddpm.py in jcm/models	70	1
cifar10_ve_ct_adaptive.py in configs	70	1
cifar10_ve_ct_ema.py in configs	68	1
cifar10_ve_progressive_distillation.py in configs	68	1
cifar10_ve_cd.py in configs	66	1
cifar10_ve_continuous.py in configs	63	1
utils.py in jcm	62	5
lpips.py in jcm/models	61	8
main.py in jcm	59	1
cifar10_k_ve.py in configs	58	1
cifar10_k_vp.py in configs	58	1
default_cifar10_configs.py in configs	56	1
setup.py in root	36	-
__init__.py in jcm	1	-
__init__.py in jcm/models	1	-

Files With Most Units (Top 29)

File	# lines	# units
sde_lib.py in jcm	362	45
sampling.py in jcm	547	38
layers.py in jcm/models	499	26
utils.py in jcm/models	268	18
losses.py in jcm	864	17
metrics.py in jcm	198	13
up_or_down_sampling.py in jcm/models	210	12
wideresnet_noise_conditional.py in jcm/models	160	11
lpips.py in jcm/models	61	8
layerspp.py in jcm/models	180	7
normalization.py in jcm/models	117	7
checkpoints.py in jcm	96	6
ncsnv2.py in jcm/models	279	5
utils.py in jcm	62	5
likelihood.py in jcm	86	5
datasets.py in jcm	107	4
ncsnpp.py in jcm/models	206	2
ddpm.py in jcm/models	70	1
train.py in jcm	256	1
evaluate.py in jcm	316	1
main.py in jcm	59	1
cifar10_ve_ct_adaptive.py in configs	70	1
cifar10_k_ve.py in configs	58	1
cifar10_ve_ct_ema.py in configs	68	1
cifar10_ve_continuous.py in configs	63	1
cifar10_ve_progressive_distillation.py in configs	68	1
cifar10_k_vp.py in configs	58	1
cifar10_ve_cd.py in configs	66	1
default_cifar10_configs.py in configs	56	1

Files With Long Lines (Top 0)

There are 0 files with lines longer than 120 characters. In total, there are 0 long lines.

File	# lines	# units	# long lines

Correlations

File Size vs. Commits (all time): 1 points

		36.0	lines of code min: 36.0 average: 36.0 25th percentile: 36.0 median: 36.0 75th percentile: 36.0 max: 36.0
0	1.0
commits (all time) min: 1.0 \| average: 1.0 \| 25th percentile: 1.0 \| median: 1.0 \| 75th percentile: 1.0 \| max: 1.0

		36.0	lines of code min: 36.0 average: 36.0 25th percentile: 36.0 median: 36.0 75th percentile: 36.0 max: 36.0
0	1.0
contributors (all time) min: 1.0 \| average: 1.0 \| 25th percentile: 1.0 \| median: 1.0 \| 75th percentile: 1.0 \| max: 1.0

No data for "commits (30d)" vs. "lines of code".

No data for "contributors (30d)" vs. "lines of code".

No data for "commits (90d)" vs. "lines of code".

No data for "contributors (90d)" vs. "lines of code".