deepseek-ai/DeepSeek-V3
File Size
The distribution of size of files (measured in lines of code).
File Size Overall
  • There are 5 files with 722 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 1 medium size files (363 lines of code)
    • 1 small files (125 lines of code)
    • 3 very small files (234 lines of code)
0% | 0% | 50% | 17% | 32%
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% | 50% | 17% | 32%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
inference0% | 0% | 50% | 17% | 32%
Longest Files (Top 5)
File# lines# units
model.py
in inference
 363 27
generate.py
in inference
 125 3
kernel.py
in inference
 98 6
convert.py
in inference
 73 1
fp8_cast_bf16.py
in inference
 63 1
Files With Most Units (Top 5)
File# lines# units
model.py
in inference
 363 27
kernel.py
in inference
 98 6
generate.py
in inference
 125 3
convert.py
in inference
 73 1
fp8_cast_bf16.py
in inference
 63 1
Files With Long Lines (Top 3)

There are 3 files with lines longer than 120 characters. In total, there are 18 long lines.

File# lines# units# long lines
model.py
in inference
 363 27 13
generate.py
in inference
 125 3 3
kernel.py
in inference
 98 6 2
Correlations

File Size vs. Commits (all time): 5 points

inference/kernel.py x: 11 commits (all time) y: 98 lines of code inference/model.py x: 15 commits (all time) y: 363 lines of code inference/convert.py x: 6 commits (all time) y: 73 lines of code inference/generate.py x: 5 commits (all time) y: 125 lines of code inference/fp8_cast_bf16.py x: 4 commits (all time) y: 63 lines of code
363.0
lines of code
  min: 63.0
  average: 144.4
  25th percentile: 68.0
  median: 98.0
  75th percentile: 244.0
  max: 363.0
0 15.0
commits (all time)
min: 4.0 | average: 8.2 | 25th percentile: 4.5 | median: 6.0 | 75th percentile: 13.0 | max: 15.0

File Size vs. Contributors (all time): 5 points

inference/kernel.py x: 8 contributors (all time) y: 98 lines of code inference/model.py x: 9 contributors (all time) y: 363 lines of code inference/convert.py x: 5 contributors (all time) y: 73 lines of code inference/generate.py x: 4 contributors (all time) y: 125 lines of code inference/fp8_cast_bf16.py x: 4 contributors (all time) y: 63 lines of code
363.0
lines of code
  min: 63.0
  average: 144.4
  25th percentile: 68.0
  median: 98.0
  75th percentile: 244.0
  max: 363.0
0 9.0
contributors (all time)
min: 4.0 | average: 6.0 | 25th percentile: 4.0 | median: 5.0 | 75th percentile: 8.5 | max: 9.0

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...