aws-samples / aws-robomaker-sample-application-meirorunner
This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics
Summary
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| Main Code: 12,014 LOC (38 files) = DAE (74%) + XACRO (14%) + PY (10%) + LAUNCH (<1%) + YML (<1%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 37 LOC (5); Other: 266 LOC (7); |
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| Duplication: 65% | |||
| File Size: 74% long (>1000 LOC), 17% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 50% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 63% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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2 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) | |||
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Features of interest:
TODOs
2 files |
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Latest commit date: 2021-08-25
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(30 days)
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