| openai / gym3 Vectorized interface for reinforcement learning environments |
 1.7K py  0.1K c 0.09K h
0.7K py
 0.09K gitignore 0.03K py  0.03K yaml
 0.2K md
- md - yaml BIN - bin
2.4K py 0.2K md 0.1K c 0.09K h 0.09K gitignore 0.03K yaml
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| Standard analyses: | Main Code: 1,921 LOC (25 files) = PY (88%) + C (6%) + H (4%) Secondary code: Test: 685 LOC (10); Generated: 0 LOC (0); Build & Deploy: 146 LOC (3); Other: 157 LOC (4); |
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| Duplication: <1% | |||
| File Size: 0% long (>1000 LOC), 71% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (1 component) | ||
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6 years 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) | |||
| Experimental analyses (less reliable heuristic analyses): | |||
| Unit Size: 0% long (>100 LOC), 59% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 60% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (1 component) | ||
Overall Activity Per Year
Latest commit date: 2026-03-26
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2026-03-26
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activity per month, week and day...Per MonthLatest commit date: 2026-03-26
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activity per month, week and day...Per MonthLatest commit date: 2026-03-26
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activity per month, week and day...Per MonthLatest commit date: 2026-03-26
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activity per month, week and day...Per MonthLatest commit date: 2026-03-26
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