facebookresearch / synsin
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 38 files with 5,086 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 10 medium size files (2,955 lines of codeclsfd_ftr_w_mp_ins)
    • 8 small files (1,084 lines of code)
    • 20 very small files (1,047 lines of code)
0% | 0% | 58% | 21% | 20%
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% | 58% | 21% | 20%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
models/networks0% | 0% | 64% | 22% | 12%
data0% | 0% | 77% | 12% | 9%
options0% | 0% | 82% | 0% | 17%
ROOT0% | 0% | 100% | 0% | 0%
evaluation0% | 0% | 37% | 43% | 19%
models0% | 0% | 43% | 44% | 12%
models/losses0% | 0% | 56% | 0% | 43%
models/layers0% | 0% | 0% | 49% | 50%
models/projection0% | 0% | 0% | 0% | 100%
geometry0% | 0% | 0% | 0% | 100%
utils0% | 0% | 0% | 0% | 100%
Longest Files (Top 38)
File# lines# units
architectures.py
in models/networks
 496 22
train_options.py
in options
 359 8
create_rgb_dataset.py
in data
 352 6
train.py
in root
 280 7
configs.py
in models/networks
 276 1
realestate10k.py
in data
 275 9
pretrained_networks.py
in models/networks
 245 12
encoderdecoder.py
in models
 229 8
eval.py
in evaluation
 229 5
gan_loss.py
in models/losses
 214 19
batchnorm.py
in models/networks/sync_batchnorm
 188 12
discriminators.py
in models/networks
 168 13
eval_realestate.py
in evaluation
 150 3
normalization.py
in models/layers
 125 11
z_buffermodel.py
in models
 124 3
base_model.py
in models
 113 3
eval_kitti.py
in evaluation
 111 4
habitat_data.py
in data
 105 7
evaluate_perceptualsim.py
in evaluation
 97 2
ssim.py
in models/losses
 94 6
z_buffer_manipulator.py
in models/projection
 87 5
kitti.py
in data
 78 7
z_buffer_layers.py
in models/layers
 76 2
options.py
in options
 74 2
synthesis.py
in models/losses
 70 8
comm.py
in models/networks/sync_batchnorm
 70 10
depth_model.py
in models
 66 3
depth_manipulator.py
in models/projection
 66 3
blocks.py
in models/layers
 51 6
camera_transformations.py
in geometry
 48 3
batchnorm_reimpl.py
in models/networks/sync_batchnorm
 47 4
replicate.py
in models/networks/sync_batchnorm
 34 3
utilities.py
in models/networks
 24 2
metrics.py
in evaluation
 18 3
jitter.py
in utils
 13 1
geometry.py
in utils
 13 1
unittest.py
in models/networks/sync_batchnorm
 13 1
__init__.py
in models/networks/sync_batchnorm
 8 -
Files With Most Units (Top 20)
File# lines# units
architectures.py
in models/networks
 496 22
gan_loss.py
in models/losses
 214 19
discriminators.py
in models/networks
 168 13
batchnorm.py
in models/networks/sync_batchnorm
 188 12
pretrained_networks.py
in models/networks
 245 12
normalization.py
in models/layers
 125 11
comm.py
in models/networks/sync_batchnorm
 70 10
realestate10k.py
in data
 275 9
train_options.py
in options
 359 8
synthesis.py
in models/losses
 70 8
encoderdecoder.py
in models
 229 8
train.py
in root
 280 7
habitat_data.py
in data
 105 7
kitti.py
in data
 78 7
ssim.py
in models/losses
 94 6
blocks.py
in models/layers
 51 6
create_rgb_dataset.py
in data
 352 6
z_buffer_manipulator.py
in models/projection
 87 5
eval.py
in evaluation
 229 5
batchnorm_reimpl.py
in models/networks/sync_batchnorm
 47 4
Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there are 3 long lines.

File# lines# units# long lines
train_options.py
in options
 359 8 3