facebookresearch / neural_stpp
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 34 files with 3,518 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,302 lines of codeclsfd_ftr_w_mp_ins)
    • 9 small files (1,345 lines of code)
    • 21 very small files (871 lines of code)
0% | 0% | 37% | 38% | 24%
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% | 38% | 39% | 22%
pyx0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
ROOT0% | 0% | 49% | 37% | 13%
models/temporal0% | 0% | 81% | 0% | 18%
diffeq_layers0% | 0% | 80% | 0% | 19%
models/spatial0% | 0% | 0% | 77% | 22%
flow_layers0% | 0% | 0% | 83% | 16%
data0% | 0% | 0% | 0% | 100%
models0% | 0% | 0% | 0% | 100%
Longest Files (Top 34)
File# lines# units
train_stpp.py
in root
 431 13
iterators.py
in root
 328 44
neural.py
in models/temporal
 297 37
basic.py
in diffeq_layers
 246 39
MHP.py
in root
 191 7
attncnf.py
in models/spatial
 183 18
attention.py
in models/spatial
 174 12
cnf.py
in models/spatial
 169 12
viz_dataset.py
in root
 147 5
jumpcnf.py
in models/spatial
 140 11
datasets.py
in root
 118 16
utils.py
in root
 115 17
planar.py
in flow_layers
 108 12
toy_datasets.py
in root
 98 6
pyx
data_utils_fast.pyx
in root
 96 -
cond_gmm.py
in models/spatial
 92 10
download_and_preprocess_covid19.py
in data
 81 3
spatiotemporal.py
in models
 75 17
basic.py
in models/temporal
 66 9
download_and_preprocess_citibike.py
in data
 62 3
download_and_preprocess_earthquakes.py
in data
 51 2
gmm.py
in models/spatial
 48 6
indepcnf.py
in models/spatial
 47 5
preprocess_bold5000.py
in data
 35 -
wrappers.py
in diffeq_layers
 32 8
container.py
in diffeq_layers
 26 4
download_utils.py
in data
 23 2
container.py
in flow_layers
 19 2
setup.py
in root
 7 -
__init__.py
in models/spatial
 5 -
__init__.py
in diffeq_layers
 3 -
__init__.py
in flow_layers
 2 -
__init__.py
in models/temporal
 2 -
__init__.py
in models
 1 -
Files With Most Units (Top 20)
File# lines# units
iterators.py
in root
 328 44
basic.py
in diffeq_layers
 246 39
neural.py
in models/temporal
 297 37
attncnf.py
in models/spatial
 183 18
spatiotemporal.py
in models
 75 17
utils.py
in root
 115 17
datasets.py
in root
 118 16
train_stpp.py
in root
 431 13
planar.py
in flow_layers
 108 12
attention.py
in models/spatial
 174 12
cnf.py
in models/spatial
 169 12
jumpcnf.py
in models/spatial
 140 11
cond_gmm.py
in models/spatial
 92 10
basic.py
in models/temporal
 66 9
wrappers.py
in diffeq_layers
 32 8
MHP.py
in root
 191 7
gmm.py
in models/spatial
 48 6
toy_datasets.py
in root
 98 6
viz_dataset.py
in root
 147 5
indepcnf.py
in models/spatial
 47 5
Files With Long Lines (Top 14)

There are 14 files with lines longer than 120 characters. In total, there are 65 long lines.

File# lines# units# long lines
spatiotemporal.py
in models
 75 17 12
neural.py
in models/temporal
 297 37 8
attncnf.py
in models/spatial
 183 18 8
train_stpp.py
in root
 431 13 7
jumpcnf.py
in models/spatial
 140 11 6
cnf.py
in models/spatial
 169 12 5
datasets.py
in root
 118 16 4
attention.py
in models/spatial
 174 12 4
viz_dataset.py
in root
 147 5 3
indepcnf.py
in models/spatial
 47 5 2
toy_datasets.py
in root
 98 6 2
download_and_preprocess_covid19.py
in data
 81 3 2
preprocess_bold5000.py
in data
 35 - 1
download_and_preprocess_citibike.py
in data
 62 3 1