Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François Charton, Amaury Hayat (ENPC-Rutgers) and Guillaume Lample
Main Code: 3,620 LOC (13 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 15 LOC (2); |
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Duplication: 8% | |||
File Size: 39% long (>1000 LOC), 9% short (<= 200 LOC) | |||
Unit Size: 26% long (>100 LOC), 22% short (<= 10 LOC) | |||
Conditional Complexity: 21% complex (McCabe index > 50), 31% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (4 components) | ||
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10 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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Latest commit date: 2021-03-29
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generated by sokrates.dev (configuration) on 2022-01-25