facebookresearch / minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Summary
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| Main Code: 8,320 LOC (71 files) = PY (96%) + YAML (3%) + TOML (<1%) + IN (<1%) Secondary code: Test: 485 LOC (4); Generated: 0 LOC (0); Build & Deploy: 21 LOC (2); Other: 415 LOC (7); |
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| Duplication: 19% | |||
| File Size: 0% long (>1000 LOC), 40% short (<= 200 LOC) | |||
| Unit Size: 18% long (>100 LOC), 51% short (<= 10 LOC) | |||
| Conditional Complexity: 6% complex (McCabe index > 50), 59% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (14 components) | ||
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4 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: 2022-01-22
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3
commits
(30 days)
1
contributors
(30 days) |
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