| openai / spinningup An educational resource to help anyone learn deep reinforcement learning. |
 3.9K py
0.1K py
0.03K py  0.03K sh  0.01K gitignore
0.4K py  0.02K md
 - svg  - html  - rst  - txt  - png DOCTREE - doctree - py  - js EOT - eot TTF - ttf WOFF - woff WOFF2 - woff2  - css ICO - ico  - yaml  - xml
4.4K py 0.03K sh 0.02K md 0.01K gitignore
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travis
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| Standard analyses: | Main Code: 3,879 LOC (57 files) = PY (100%) Secondary code: Test: 108 LOC (2); Generated: 0 LOC (0); Build & Deploy: 73 LOC (3); Other: 423 LOC (8); |
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| Duplication: 58% | |||
| File Size: 0% long (>1000 LOC), 93% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (1 component) | ||
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7 years, 7 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) | |||
| Experimental analyses (less reliable heuristic analyses): | |||
| Unit Size: 28% long (>100 LOC), 48% short (<= 10 LOC) | |||
| Conditional Complexity: 17% complex (McCabe index > 50), 45% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (1 component) | ||
Overall Activity Per Year
Latest commit date: 2020-02-07
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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activity per month, week and day...Per MonthLatest commit date: 2020-02-07
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