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.
File Size Overall
- There are 9 files with 1,761 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 5 medium size files (1,588 lines of codeclsfd_ftr_w_mp_ins)
- 0 small files (0 lines of code)
- 4 very small files (173 lines of code)
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
File Size per Logical Decomposition
primary
Longest Files (Top 9)
| File | # lines | # units |
|---|---|---|
 a2d2_dataset.py in a2d2 |
479 | 14 |
 cloudformation.yaml in cloudformation |
343 | - |
a2d2_database.py in a2d2 |
292 | 5 |
train.py in container_training |
237 | 2 |
train.py in docker |
237 | 2 |
a2d2_helpers.py in root |
82 | 8 |
predictor.py in container_inference/mm3d |
47 | 4 |
a2d2_converter.py in a2d2 |
42 | 1 |
wsgi.py in container_inference/mm3d |
2 | - |
Files With Most Units (Top 7)
| File | # lines | # units |
|---|---|---|
a2d2_dataset.py in a2d2 |
479 | 14 |
a2d2_helpers.py in root |
82 | 8 |
a2d2_database.py in a2d2 |
292 | 5 |
predictor.py in container_inference/mm3d |
47 | 4 |
train.py in container_training |
237 | 2 |
train.py in docker |
237 | 2 |
a2d2_converter.py in a2d2 |
42 | 1 |
Files With Long Lines (Top 2)
There are 2 files with lines longer than 120 characters. In total, there are 2 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
train.py in container_training |
237 | 2 | 1 |
train.py in docker |
237 | 2 | 1 |