deepseek-ai/DeepSeek-V3.2-Exp
File Churn
File change frequency (churn) shows the distribution of file updates (days with at least one commit).
Overview
File Change Frequency Overall
  • There are 4 files with 839 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 4 files changed 1-5 times (839 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 4 files with 839 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 1 file changed by 2-5 contributors (448 lines of code)
    • 3 files changed by 1 contributor (391 lines of code)
0% | 0% | 0% | 53% | 46%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
txt, py, md, json
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 100%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
inference0% | 0% | 0% | 0% | 100%
Most Frequently Changed Files (Top 4)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
model.py
in inference
 448 33 2025-09-30 2025-11-18 3 2 +941 / -18 2651904866@qq.com creativex@qq.com
convert.py
in inference
 77 1 2025-09-30 2025-09-30 1 1 +100 / -0 2651904866@qq.com 2651904866@qq.com
generate.py
in inference
 126 3 2025-09-30 2025-09-30 1 1 +186 / -0 2651904866@qq.com 2651904866@qq.com
kernel.py
in inference
 188 10 2025-09-30 2025-09-30 1 1 +274 / -0 2651904866@qq.com 2651904866@qq.com
Files With Most Churn (Top 4)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
model.py
in inference
 448 33 2025-09-30 2025-11-18 3 2 +941 / -18 2651904866@qq.com creativex@qq.com
kernel.py
in inference
 188 10 2025-09-30 2025-09-30 1 1 +274 / -0 2651904866@qq.com 2651904866@qq.com
generate.py
in inference
 126 3 2025-09-30 2025-09-30 1 1 +186 / -0 2651904866@qq.com 2651904866@qq.com
convert.py
in inference
 77 1 2025-09-30 2025-09-30 1 1 +100 / -0 2651904866@qq.com 2651904866@qq.com
Files With Most Contributors (Top 4)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
model.py
in inference
 448 33 2025-09-30 2025-11-18 3 2 +941 / -18 2651904866@qq.com creativex@qq.com
kernel.py
in inference
 188 10 2025-09-30 2025-09-30 1 1 +274 / -0 2651904866@qq.com 2651904866@qq.com
generate.py
in inference
 126 3 2025-09-30 2025-09-30 1 1 +186 / -0 2651904866@qq.com 2651904866@qq.com
convert.py
in inference
 77 1 2025-09-30 2025-09-30 1 1 +100 / -0 2651904866@qq.com 2651904866@qq.com
Files With Least Contributors (Top 4)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
kernel.py
in inference
 188 10 2025-09-30 2025-09-30 1 1 +274 / -0 2651904866@qq.com 2651904866@qq.com
generate.py
in inference
 126 3 2025-09-30 2025-09-30 1 1 +186 / -0 2651904866@qq.com 2651904866@qq.com
convert.py
in inference
 77 1 2025-09-30 2025-09-30 1 1 +100 / -0 2651904866@qq.com 2651904866@qq.com
model.py
in inference
 448 33 2025-09-30 2025-11-18 3 2 +941 / -18 2651904866@qq.com creativex@qq.com
Correlations

File Size vs. Number of Changes: 4 points

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

Number of Contributors vs. Number of Changes: 4 points

inference/model.py x: 2 # contributors y: 3 # changes inference/convert.py x: 1 # contributors y: 1 # changes
3.0
# changes
  min: 1.0
  average: 1.5
  25th percentile: 1.0
  median: 1.0
  75th percentile: 2.5
  max: 3.0
0 2.0
# contributors
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

Number of Contributors vs. File Size: 4 points

inference/model.py x: 2 # contributors y: 448 lines of code inference/convert.py x: 1 # contributors y: 77 lines of code inference/generate.py x: 1 # contributors y: 126 lines of code inference/kernel.py x: 1 # contributors 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
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

Number of Changes vs. Line Churn: 8 points

README.md x: 3 # changes y: 230 line churn inference/model.py x: 3 # changes y: 959 line churn inference/README.md x: 1 # changes y: 14 line churn inference/config_671B_v3.2.json x: 1 # changes y: 26 line churn inference/convert.py x: 1 # changes y: 100 line churn inference/generate.py x: 1 # changes y: 186 line churn inference/kernel.py x: 1 # changes y: 274 line churn inference/requirements.txt x: 1 # changes y: 5 line churn
959.0
line churn
  min: 5.0
  average: 224.25
  25th percentile: 17.0
  median: 143.0
  75th percentile: 263.0
  max: 959.0
0 3.0
# changes
min: 1.0 | average: 1.5 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.5 | max: 3.0

Number of Contributors vs. Line Churn: 4 points

inference/model.py x: 2 # contributors y: 959 line churn inference/convert.py x: 1 # contributors y: 100 line churn inference/generate.py x: 1 # contributors y: 186 line churn inference/kernel.py x: 1 # contributors y: 274 line churn
959.0
line churn
  min: 100.0
  average: 379.75
  25th percentile: 121.5
  median: 230.0
  75th percentile: 787.75
  max: 959.0
0 2.0
# contributors
min: 1.0 | average: 1.25 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.75 | max: 2.0

File Size vs. Line Churn: 4 points

inference/model.py x: 448 lines of code y: 959 line churn inference/convert.py x: 77 lines of code y: 100 line churn inference/generate.py x: 126 lines of code y: 186 line churn inference/kernel.py x: 188 lines of code y: 274 line churn
959.0
line churn
  min: 100.0
  average: 379.75
  25th percentile: 121.5
  median: 230.0
  75th percentile: 787.75
  max: 959.0
0 448.0
lines of code
min: 77.0 | average: 209.75 | 25th percentile: 89.25 | median: 157.0 | 75th percentile: 383.0 | max: 448.0