| openai / baselines OpenAI Baselines: high-quality implementations of reinforcement learning algorithms |
16K
lines of main code
124 files
1K
lines of test code
26 files
0.4K
lines of other code
15 files
9y
age
3,319 days
0%
main code touched
1 year (34 LOC)
0%
new main code
1 year (34 LOC)
 11K py  5.6K htm
1K py
0.05K py  0.03K gitignore CFG 0.01K cfg
 0.3K md
- py  - png  - yaml - htm  - ipynb - md BENCHMARK_PATTERN - benchmark_pattern
12K py 5.6K htm 0.3K md 0.03K gitignore CFG 0.01K cfg
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travis
docker
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| Standard analyses: | Main Code: 16,381 LOC (124 files) = PY (66%) + HTM (33%) Secondary code: Test: 1,002 LOC (26); Generated: 0 LOC (0); Build & Deploy: 82 LOC (3); Other: 333 LOC (12); |
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| Duplication: 6% | |||
| File Size: 33% long (>1000 LOC), 39% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (2 components) | ||
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9 years, 1 month 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: 14% long (>100 LOC), 47% short (<= 10 LOC) | |||
| Conditional Complexity: 13% complex (McCabe index > 50), 57% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (2 components) | ||
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Features of interest:
TODOs
3 files |
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Overall Activity Per Year
Latest commit date: 2020-01-31
Reference analysis date: 2026-06-24
More details:
Commits Report
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Contributors Report
activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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activity per month, week and day...Per MonthLatest commit date: 2020-01-31
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