facebookresearch / fastMRI
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 80 files with 7,343 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 8 medium size files (1,957 lines of codeclsfd_ftr_w_mp_ins)
    • 25 small files (3,683 lines of code)
    • 47 very small files (1,703 lines of code)
0% | 0% | 26% | 50% | 23%
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% | 26% | 50% | 22%
yaml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
banding_removal/fastmri0% | 0% | 28% | 41% | 30%
fastmri/data0% | 0% | 90% | 0% | 9%
fastmri/pl_modules0% | 0% | 36% | 63% | <1%
fastmri_examples/unet0% | 0% | 0% | 99% | <1%
fastmri_examples/varnet0% | 0% | 0% | 99% | <1%
fastmri/models0% | 0% | 0% | 67% | 32%
fastmri_examples/cs0% | 0% | 0% | 84% | 15%
fastmri0% | 0% | 0% | 43% | 56%
banding_removal/scripts0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
fastmri_examples/zero_filled0% | 0% | 0% | 0% | 100%
fastmri_examples0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
args.py
in banding_removal/fastmri
 323 2
var_net.py
in banding_removal/fastmri/model
 294 49
data_module.py
in fastmri/pl_modules
 250 8
training_loop_mixin.py
in banding_removal/fastmri
 231 14
transforms.py
in fastmri/data
 219 14
base_trainer.py
in banding_removal/fastmri
 218 21
mri_data.py
in fastmri/data
 213 9
subsample.py
in fastmri/data
 209 14
varnet.py
in fastmri/models
 191 20
subsample.py
in banding_removal/fastmri/common
 189 17
adversary_mixin.py
in banding_removal/fastmri/orientation_adversary
 186 14
mri_module.py
in fastmri/pl_modules
 182 9
distributed_mixin.py
in banding_removal/fastmri
 179 13
mri_data.py
in banding_removal/fastmri/data
 174 4
transforms.py
in banding_removal/fastmri/data
 173 32
run_bart.py
in fastmri_examples/cs
 166 7
torchvision_resnet.py
in banding_removal/fastmri/model/classifiers
 153 10
unpooled_resnet.py
in banding_removal/fastmri/model/classifiers
 151 10
varnet_module.py
in fastmri/pl_modules
 141 7
train_varnet_demo.py
in fastmri_examples/varnet
 136 3
unet_knee_mc_leaderboard.py
in fastmri_examples/unet/unet_reproduce_20201111.py
 135 3
unet_knee_sc_leaderboard.py
in fastmri_examples/unet/unet_reproduce_20201111.py
 135 3
varnet_brain_leaderboard.py
in fastmri_examples/varnet/varnet_reproduce_20201111
 135 3
varnet_knee_leaderboard.py
in fastmri_examples/varnet/varnet_reproduce_20201111
 135 3
visualization_mixin.py
in banding_removal/fastmri
 134 7
unet_brain_leaderboard.py
in fastmri_examples/unet/unet_reproduce_20201111.py
 133 3
checkpointing_mixin.py
in banding_removal/fastmri
 131 13
train_unet_demo.py
in fastmri_examples/unet
 130 3
run_pretrained_unet_inference.py
in fastmri_examples/unet
 125 3
public_unet.py
in banding_removal/fastmri/model
 123 9
evaluate.py
in fastmri
 119 10
unet_module.py
in fastmri/pl_modules
 117 7
run_pretrained_varnet_inference.py
in fastmri_examples/varnet
 110 3
logging_mixin.py
in banding_removal/fastmri
 93 13
kspace.py
in banding_removal/fastmri/transforms
 92 3
unet.py
in fastmri/models
 90 6
spawn_dist.py
in banding_removal/fastmri
 90 2
image_grid.py
in banding_removal/fastmri/common
 87 1
resnet_r1.py
in banding_removal/fastmri/model/classifiers
 84 6
resnet_r1_prev.py
in banding_removal/fastmri/model/classifiers
 82 6
evaluate.py
in banding_removal/fastmri/common
 79 10
resnet_r1_simple.py
in banding_removal/fastmri/model/classifiers
 72 6
volume_sampler.py
in fastmri/data
 68 4
utils.py
in banding_removal/fastmri/common
 66 7
fftc.py
in fastmri
 60 6
setup.py
in root
 58 -
resnet_r1_wide.py
in banding_removal/fastmri/model/classifiers
 56 3
run_zero_filled.py
in fastmri_examples/zero_filled
 52 2
ssim_loss_mixin.py
in banding_removal/fastmri
 48 4
pretrain.py
in banding_removal/scripts
 47 -
Files With Most Units (Top 20)
File# lines# units
var_net.py
in banding_removal/fastmri/model
 294 49
transforms.py
in banding_removal/fastmri/data
 173 32
base_trainer.py
in banding_removal/fastmri
 218 21
varnet.py
in fastmri/models
 191 20
subsample.py
in banding_removal/fastmri/common
 189 17
transforms.py
in fastmri/data
 219 14
subsample.py
in fastmri/data
 209 14
adversary_mixin.py
in banding_removal/fastmri/orientation_adversary
 186 14
training_loop_mixin.py
in banding_removal/fastmri
 231 14
distributed_mixin.py
in banding_removal/fastmri
 179 13
logging_mixin.py
in banding_removal/fastmri
 93 13
checkpointing_mixin.py
in banding_removal/fastmri
 131 13
evaluate.py
in fastmri
 119 10
evaluate.py
in banding_removal/fastmri/common
 79 10
torchvision_resnet.py
in banding_removal/fastmri/model/classifiers
 153 10
unpooled_resnet.py
in banding_removal/fastmri/model/classifiers
 151 10
mri_module.py
in fastmri/pl_modules
 182 9
mri_data.py
in fastmri/data
 213 9
public_unet.py
in banding_removal/fastmri/model
 123 9
data_module.py
in fastmri/pl_modules
 250 8
Files With Long Lines (Top 6)

There are 6 files with lines longer than 120 characters. In total, there are 20 long lines.

File# lines# units# long lines
args.py
in banding_removal/fastmri
 323 2 9
public_unet.py
in banding_removal/fastmri/model
 123 9 6
data_module.py
in fastmri/pl_modules
 250 8 2
var_net.py
in banding_removal/fastmri/model
 294 49 1
training_loop_mixin.py
in banding_removal/fastmri
 231 14 1
transforms.py
in banding_removal/fastmri/data
 173 32 1