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 3 files with 123 lines of code.
- 0 very long files (0 lines of code)
- 0 long files (0 lines of code)
- 0 medium size files (0 lines of codeclsfd_ftr_w_mp_ins)
- 1 small files (113 lines of code)
- 2 very small files (10 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 3)
| File | # lines | # units |
|---|---|---|
 tf2_inference.py in tftrt/blog_posts/Leveraging TensorFlow-TensorRT integration for Low latency Inference |
113 | 3 |
setup.py in root |
9 | - |
__init__.py in tftrt |
1 | - |
Files With Most Units (Top 1)
| File | # lines | # units |
|---|---|---|
tf2_inference.py in tftrt/blog_posts/Leveraging TensorFlow-TensorRT integration for Low latency Inference |
113 | 3 |
Files With Long Lines (Top 1)
There is only one file with lines longer than 120 characters. In total, there is only one long line.
| File | # lines | # units | # long lines |
|---|---|---|---|
tf2_inference.py in tftrt/blog_posts/Leveraging TensorFlow-TensorRT integration for Low latency Inference |
113 | 3 | 1 |