File Size Overall
  • There are 13 files with 1,877 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 6 medium size files (1,568 lines of code)
    • 2 small files (250 lines of code)
    • 5 very small files (59 lines of code)
0% | 0% | 83% | 13% | 3%
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% | 83% | 13% | 3%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
DeepSeek-OCR2-master0% | 0% | 83% | 13% | 3%
Longest Files (Top 13)
File# lines# units
deepseek_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
353 22
sam_vary_sdpa.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
320 19
image_process.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
260 14
run_dpsk_ocr2_pdf.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
215 7
run_dpsk_ocr2_image.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
210 5
qwen2_d2e.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
210 6
build_linear.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
135 3
run_dpsk_ocr2_eval_batch.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
115 4
ngram_norepeat.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
30 2
config.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
15 -
run_dpsk_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-hf
12 -
__init__.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
1 -
__init__.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
1 -
Large Files That Change Often (Top 2)
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
config.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
15 under 1k 1 ~7 ~2
run_dpsk_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-hf
12 under 1k 1 ~3 ~3

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 9)
File# lines# units
deepseek_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
353 22
sam_vary_sdpa.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
320 19
image_process.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
260 14
run_dpsk_ocr2_pdf.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
215 7
qwen2_d2e.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
210 6
run_dpsk_ocr2_image.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
210 5
run_dpsk_ocr2_eval_batch.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
115 4
build_linear.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
135 3
ngram_norepeat.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
30 2
Files With Long Lines (Top 8)

There are 8 files with lines longer than 120 characters. In total, there are 14 long lines.

File# lines# units# long lines
run_dpsk_ocr2_pdf.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
215 7 3
run_dpsk_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-hf
12 - 2
run_dpsk_ocr2_image.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
210 5 2
run_dpsk_ocr2_eval_batch.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
115 4 2
image_process.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/process
260 14 2
sam_vary_sdpa.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
320 19 1
build_linear.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/deepencoderv2
135 3 1
deepseek_ocr2.py
in DeepSeek-OCR2-master/DeepSeek-OCR2-vllm
353 22 1
Correlations

File Size vs. Commits (all time): 2 points

DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/config.py x: 1 commits (all time) y: 15 lines of code DeepSeek-OCR2-master/DeepSeek-OCR2-hf/run_dpsk_ocr2.py x: 1 commits (all time) y: 12 lines of code
15.0
lines of code
  min: 12.0
  average: 13.5
  25th percentile: 12.0
  median: 13.5
  75th percentile: 15.0
  max: 15.0
0 1.0
commits (all time)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Contributors (all time): 2 points

DeepSeek-OCR2-master/DeepSeek-OCR2-vllm/config.py x: 1 contributors (all time) y: 15 lines of code DeepSeek-OCR2-master/DeepSeek-OCR2-hf/run_dpsk_ocr2.py x: 1 contributors (all time) y: 12 lines of code
15.0
lines of code
  min: 12.0
  average: 13.5
  25th percentile: 12.0
  median: 13.5
  75th percentile: 15.0
  max: 15.0
0 1.0
contributors (all time)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

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...