apple / learning-subspaces
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 65 files with 5,703 lines of code.
    • 0 very long files (0 lines of code)
    • 1 long files (521 lines of code)
    • 2 medium size files (612 lines of codeclsfd_ftr_w_mp_ins)
    • 13 small files (1,941 lines of code)
    • 49 very small files (2,629 lines of code)
0% | 9% | 10% | 34% | 46%
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% | 9% | 10% | 34% | 46%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
models0% | 39% | 0% | 43% | 16%
viz0% | 0% | 89% | 0% | 10%
ROOT0% | 0% | 30% | 69% | 0%
trainers0% | 0% | 0% | 46% | 53%
analyze_results/tinyimagenet0% | 0% | 0% | 66% | 33%
analyze_results/cifar0% | 0% | 0% | 100% | 0%
experiment_configs/tinyimagenet0% | 0% | 0% | 0% | 100%
experiment_configs/cifar100% | 0% | 0% | 0% | 100%
experiment_configs/imagenet0% | 0% | 0% | 0% | 100%
data0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
modules_gen.py
in models
 521 40
utils.py
in viz
 381 19
args.py
in root
 231 2
main.py
in root
 194 3
schedulers.py
in root
 191 13
train_one_dim_subspaces.py
in trainers
 188 5
train_simplexes.py
in trainers
 165 5
eval_one_dim_subspaces_multigpu.py
in trainers
 164 3
resnet.py
in models
 163 12
builder.py
in models
 156 7
tinyimagenetresnet.py
in models
 143 10
utils.py
in root
 134 9
modules.py
in models
 117 12
one_dimensional_subspaces.py
in analyze_results/cifar
 109 1
one_dimensional_subspaces.py
in analyze_results/tinyimagenet
 109 1
linestats_swa.py
in trainers
 108 3
ensemble.py
in trainers
 98 3
simplex_ensembles.py
in trainers
 92 3
eval_lines.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 79 -
eval_lines.py
in experiment_configs/imagenet/one_dimensional_subspaces
 78 -
eval_lines_layerwise.py
in experiment_configs/imagenet/one_dimensional_subspaces
 78 -
eval_curves.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 78 -
eval_lines_layerwise.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 78 -
eval_curves.py
in experiment_configs/cifar10/one_dimensional_subspaces
 77 -
eval_lines.py
in experiment_configs/cifar10/one_dimensional_subspaces
 77 -
eval_lines_layerwise.py
in experiment_configs/cifar10/one_dimensional_subspaces
 77 -
cifar_resnet_dropout.py
in models
 77 4
cifar_resnet.py
in models
 75 4
eval_one_dim_subspaces.py
in trainers
 75 3
imagenet.py
in data
 73 1
default.py
in trainers
 73 3
random_average_weights_perweight.py
in trainers
 70 3
swa_endpoint_ensembles.py
in trainers
 68 3
average_weights.py
in trainers
 63 3
cifar.py
in data
 59 1
eval_ensembles.py
in experiment_configs/imagenet/ensembles
 59 2
eval_ensembles.py
in experiment_configs/tinyimagenet/ensembles
 56 2
swag.py
in trainers
 56 3
simplexes.py
in analyze_results/tinyimagenet
 55 1
eval_ensembles.py
in experiment_configs/cifar10/ensembles
 55 2
codegen.py
in models
 55 -
random_average_weights_global.py
in trainers
 50 3
random_average_weights_layerwise.py
in trainers
 50 3
tinyimagenet.py
in data
 45 1
config.py
in viz
 44 3
train_lines.py
in experiment_configs/imagenet/one_dimensional_subspaces
 43 -
train_lines_layerwise.py
in experiment_configs/imagenet/one_dimensional_subspaces
 43 -
train_curves.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 42 -
train_lines.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 42 -
train_lines_layerwise.py
in experiment_configs/tinyimagenet/one_dimensional_subspaces
 42 -
Files With Most Units (Top 20)
File# lines# units
modules_gen.py
in models
 521 40
utils.py
in viz
 381 19
schedulers.py
in root
 191 13
modules.py
in models
 117 12
resnet.py
in models
 163 12
tinyimagenetresnet.py
in models
 143 10
utils.py
in root
 134 9
builder.py
in models
 156 7
train_one_dim_subspaces.py
in trainers
 188 5
train_simplexes.py
in trainers
 165 5
cifar_resnet.py
in models
 75 4
cifar_resnet_dropout.py
in models
 77 4
main.py
in root
 194 3
average_weights.py
in trainers
 63 3
default.py
in trainers
 73 3
ensemble.py
in trainers
 98 3
eval_one_dim_subspaces.py
in trainers
 75 3
eval_one_dim_subspaces_multigpu.py
in trainers
 164 3
linestats_swa.py
in trainers
 108 3
random_average_weights_global.py
in trainers
 50 3
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