facebookresearch / salina
a Lightweight library for sequential learning agents, including reinforcement learning
Summary
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| Main Code: 12,084 LOC (140 files) = PY (82%) + YAML (17%) + YML (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 478 LOC (38); |
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| Duplication: 51% | |||
| File Size: 0% long (>1000 LOC), 64% short (<= 200 LOC) | |||
| Unit Size: 27% long (>100 LOC), 46% short (<= 10 LOC) | |||
| Conditional Complexity: 1% complex (McCabe index > 50), 58% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (13 components) | ||
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3 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
2 files |
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Latest commit date: 2022-01-21
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37
commits
(30 days)
3
contributors
(30 days) |
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