facebookresearch / aepsych
AEPsych is a tool for adaptive experimentation in psychophysics and perception research, built on top of gpytorch and botorch.
Summary
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| Main Code: 36,603 LOC (111 files) = XML (65%) + PY (12%) + ASSET (7%) + SHADER (4%) + CS (3%) + UNITY (2%) + PREFAB (2%) + CGINC (<1%) + MAT (<1%) + M (<1%) + PYI (<1%) | |||
| Duplication: 72% | |||
| File Size: 68% long (>1000 LOC), 17% short (<= 200 LOC) | |||
| Unit Size: 6% long (>100 LOC), 65% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 78% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (13 components) | ||
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9 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
13 files |
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Latest commit date: 2022-01-21
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10
commits
(30 days)
3
contributors
(30 days) |
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