deepseek-ai/DeepSeek-V3.2-Exp
File Size
The distribution of size of files (measured in lines of code).
File Size Overall
  • There are 4 files with 839 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 1 medium size files (448 lines of code)
    • 2 small files (314 lines of code)
    • 1 very small files (77 lines of code)
0% | 0% | 53% | 37% | 9%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 53% | 37% | 9%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
inference0% | 0% | 53% | 37% | 9%
Longest Files (Top 4)
File# lines# units
model.py
in inference
 448 33
kernel.py
in inference
 188 10
generate.py
in inference
 126 3
convert.py
in inference
 77 1
Large Files That Change Often (Top 1)
To change a file, an AI coding agent (or a person) has to read it: these files are read the most for the changes in the past year (lines × changes).
File# lines≈ tokens
to read		# changes
(1y)		≈ lines edited
per change		lines read per
line changed
model.py
in inference
 448 ~3k–7k 2 ~300 ~2

Tokens are lines × 7 to 14 (analysis.fileReadsForChanges). Lines edited per change are the file's lines added and deleted divided by its commits over the whole history. Agents read about 2,000 lines at a time: when a 17,000-line file was split into modules, the tokens an agent read for the same change fell by 83% (The Economic Benefit of Refactoring, 2026).

Files With Most Units (Top 4)
File# lines# units
model.py
in inference
 448 33
kernel.py
in inference
 188 10
generate.py
in inference
 126 3
convert.py
in inference
 77 1
Files With Long Lines (Top 2)

There are 2 files with lines longer than 120 characters. In total, there are 18 long lines.

File# lines# units# long lines
model.py
in inference
 448 33 15
generate.py
in inference
 126 3 3
Correlations

File Size vs. Commits (all time): 4 points

inference/model.py x: 3 commits (all time) y: 448 lines of code inference/convert.py x: 1 commits (all time) y: 77 lines of code inference/generate.py x: 1 commits (all time) y: 126 lines of code inference/kernel.py x: 1 commits (all time) y: 188 lines of code
448.0
lines of code
  min: 77.0
  average: 209.75
  25th percentile: 89.25
  median: 157.0
  75th percentile: 383.0
  max: 448.0
0 3.0
commits (all time)
min: 1.0 | average: 1.5 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.5 | max: 3.0

File Size vs. Contributors (all time): 4 points

inference/model.py x: 2 contributors (all time) y: 448 lines of code inference/convert.py x: 1 contributors (all time) y: 77 lines of code inference/generate.py x: 1 contributors (all time) y: 126 lines of code inference/kernel.py x: 1 contributors (all time) y: 188 lines of code
448.0
lines of code
  min: 77.0
  average: 209.75
  25th percentile: 89.25
  median: 157.0
  75th percentile: 383.0
  max: 448.0
0 2.0
contributors (all time)
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

File Size vs. Commits (30 days): 0 points

No data for "commits (30d)" vs. "lines of code".

File Size vs. Contributors (30 days): 0 points

No data for "contributors (30d)" vs. "lines of code".

File Size vs. Commits (90 days): 0 points

No data for "commits (90d)" vs. "lines of code".

File Size vs. Contributors (90 days): 0 points

No data for "contributors (90d)" vs. "lines of code".

About This Analysis
  • 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...