awslabs / sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Summary
   |
|||
| Main Code: 16,678 LOC (66 files) = PY (98%) + JS (<1%) + BIB (<1%) + IN (<1%) + CSS (<1%) + CFG (<1%) Secondary code: Test: 6,155 LOC (51); Generated: 0 LOC (0); Build & Deploy: 28 LOC (3); Other: 1,255 LOC (11); |
|||
| Duplication: 41% | |||
| File Size: 21% long (>1000 LOC), 25% short (<= 200 LOC) | |||
| Unit Size: 8% long (>100 LOC), 39% short (<= 10 LOC) | |||
| Conditional Complexity: 7% complex (McCabe index > 50), 49% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (6 components) | ||
|
|
4 years, 7 months old
|
||
|
|
39% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
|
Features of interest:
TODOs
14 files |
|||
Latest commit date: 2022-01-20
|
5
commits
(30 days)
2
contributors
(30 days) |
|