facebookresearch / neuromorph
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 22 files with 2,185 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 3 medium size files (1,203 lines of codeclsfd_ftr_w_mp_ins)
    • 2 small files (377 lines of code)
    • 17 very small files (605 lines of code)
0% | 0% | 55% | 17% | 27%
Legend:
1001+
501-1000
201-500
101-200
1-100


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File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 52% | 25% | 22%
m0% | 0% | 59% | 0% | 40%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
utils0% | 0% | 57% | 24% | 17%
data_preprocessing/utils0% | 0% | 61% | 0% | 38%
model0% | 0% | 81% | 0% | 18%
data0% | 0% | 0% | 100% | 0%
ROOT0% | 0% | 0% | 0% | 100%
data_preprocessing0% | 0% | 0% | 0% | 100%
Longest Files (Top 22)
File# lines# units
interpolation_base.py
in utils
 429 51
read_ply.m
in data_preprocessing/utils
 409 11
interpolation_net.py
in model
 365 34
data.py
in data
 192 34
shape_utils.py
in utils
 185 29
main_train.py
in root
 93 7
base_tools.py
in utils
 90 12
layers.py
in model
 45 4
read_obj.m
in data_preprocessing/utils
 45 -
layers_onet.py
in model
 36 2
read_off.m
in data_preprocessing/utils
 36 -
reduce_folder_individual.m
in data_preprocessing/utils
 35 -
convert_dataset.m
in data_preprocessing/utils
 34 -
compute_dist_matrix.m
in data_preprocessing/utils
 33 -
arap_potential.py
in utils
 31 2
create_remeshed_collection.m
in data_preprocessing/utils
 25 -
param.py
in root
 24 2
preprocess_dataset.m
in data_preprocessing
 21 -
create_remeshed_dataset.m
in data_preprocessing/utils
 17 -
compute_dist_matrices.m
in data_preprocessing/utils
 17 -
arap_interpolation.py
in utils
 12 3
compute_triangle_areas.m
in data_preprocessing/utils
 11 -
Files With Most Units (Top 12)
File# lines# units
interpolation_base.py
in utils
 429 51
interpolation_net.py
in model
 365 34
data.py
in data
 192 34
shape_utils.py
in utils
 185 29
base_tools.py
in utils
 90 12
read_ply.m
in data_preprocessing/utils
 409 11
main_train.py
in root
 93 7
layers.py
in model
 45 4
arap_interpolation.py
in utils
 12 3
param.py
in root
 24 2
arap_potential.py
in utils
 31 2
layers_onet.py
in model
 36 2
Files With Long Lines (Top 2)

There are 2 files with lines longer than 120 characters. In total, there are 5 long lines.

File# lines# units# long lines
data.py
in data
 192 34 3
read_ply.m
in data_preprocessing/utils
 409 11 2