???TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Main Code: 10,540 LOC (85 files) = PY (95%) + CSS (2%) + C (1%) + EBNF (<1%) + HANDLEBARS (<1%) + IN (<1%) Secondary code: Test: 4,297 LOC (39); Generated: 0 LOC (0); Build & Deploy: 107 LOC (7); Other: 3,152 LOC (16); |
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Duplication: 5% | |||
File Size: 9% long (>1000 LOC), 38% short (<= 200 LOC) | |||
Unit Size: 10% long (>100 LOC), 64% short (<= 10 LOC) | |||
Conditional Complexity: 8% complex (McCabe index > 50), 59% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (13 components) | ||
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3 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) |
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Features of interest:
TODOs
10 files |
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Latest commit date: 2022-01-09
3
commits
(30 days)
2
contributors
(30 days) |
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generated by sokrates.dev (configuration) on 2022-01-30