facebookresearch / FixRes
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 37 files with 3,576 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,289 lines of codeclsfd_ftr_w_mp_ins)
    • 8 small files (1,280 lines of code)
    • 25 very small files (1,007 lines of code)
0% | 0% | 36% | 35% | 28%
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% | 36% | 35% | 28%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
imnet_finetune0% | 0% | 61% | 19% | 19%
imnet_evaluate0% | 0% | 38% | 40% | 21%
imnet_extract0% | 0% | 39% | 38% | 22%
ROOT0% | 0% | 0% | 45% | 54%
imnet_resnet50_scratch0% | 0% | 0% | 52% | 47%
Longest Files (Top 37)
File# lines# units
pnasnet.py
in imnet_evaluate
 339 20
pnasnet.py
in imnet_extract
 339 20
pnasnet.py
in imnet_finetune
 339 20
train.py
in imnet_finetune
 272 8
Res.py
in imnet_evaluate
 195 17
Res.py
in imnet_extract
 195 17
Res.py
in imnet_finetune
 192 17
train.py
in imnet_resnet50_scratch
 170 8
train.py
in imnet_evaluate
 160 13
transforms_v2.py
in root
 136 15
train.py
in imnet_extract
 131 9
hubconf.py
in root
 101 6
samplers.py
in imnet_resnet50_scratch
 73 6
samplers.py
in imnet_evaluate
 73 6
samplers.py
in imnet_extract
 73 6
samplers.py
in imnet_finetune
 73 6
main_finetune.py
in root
 66 1
main_extract.py
in root
 62 1
transforms.py
in imnet_resnet50_scratch
 61 5
main_resnet50_scratch.py
in root
 61 1
transforms.py
in imnet_finetune
 61 5
transforms.py
in imnet_evaluate
 60 5
main_evaluate_imnet.py
in root
 60 1
transforms.py
in imnet_extract
 60 5
resnext_wsl.py
in imnet_evaluate
 36 5
resnext_wsl.py
in imnet_extract
 36 5
resnext_wsl.py
in imnet_finetune
 36 5
main_evaluate_softmax.py
in root
 24 1
config.py
in imnet_finetune
 20 -
config.py
in imnet_extract
 18 -
config.py
in imnet_resnet50_scratch
 17 -
config.py
in imnet_evaluate
 17 -
setup.py
in root
 12 -
__init__.py
in imnet_resnet50_scratch
 2 -
__init__.py
in imnet_evaluate
 2 -
__init__.py
in imnet_extract
 2 -
__init__.py
in imnet_finetune
 2 -
Files With Most Units (Top 20)
File# lines# units
pnasnet.py
in imnet_evaluate
 339 20
pnasnet.py
in imnet_extract
 339 20
pnasnet.py
in imnet_finetune
 339 20
Res.py
in imnet_evaluate
 195 17
Res.py
in imnet_extract
 195 17
Res.py
in imnet_finetune
 192 17
transforms_v2.py
in root
 136 15
train.py
in imnet_evaluate
 160 13
train.py
in imnet_extract
 131 9
train.py
in imnet_resnet50_scratch
 170 8
train.py
in imnet_finetune
 272 8
samplers.py
in imnet_resnet50_scratch
 73 6
samplers.py
in imnet_evaluate
 73 6
samplers.py
in imnet_extract
 73 6
hubconf.py
in root
 101 6
samplers.py
in imnet_finetune
 73 6
transforms.py
in imnet_resnet50_scratch
 61 5
transforms.py
in imnet_evaluate
 60 5
resnext_wsl.py
in imnet_evaluate
 36 5
transforms.py
in imnet_extract
 60 5
Files With Long Lines (Top 14)

There are 14 files with lines longer than 120 characters. In total, there are 35 long lines.

File# lines# units# long lines
main_extract.py
in root
 62 1 7
main_finetune.py
in root
 66 1 5
main_evaluate_imnet.py
in root
 60 1 4
main_resnet50_scratch.py
in root
 61 1 3
train.py
in imnet_finetune
 272 8 3
main_evaluate_softmax.py
in root
 24 1 3
train.py
in imnet_resnet50_scratch
 170 8 2
train.py
in imnet_extract
 131 9 2
samplers.py
in imnet_resnet50_scratch
 73 6 1
train.py
in imnet_evaluate
 160 13 1
samplers.py
in imnet_evaluate
 73 6 1
samplers.py
in imnet_extract
 73 6 1
hubconf.py
in root
 101 6 1
samplers.py
in imnet_finetune
 73 6 1