facebookresearch / torcharrow
A torch.Tensor-like DataFrame library supporting multiple execution runtimes and Arrow as a common memory format
Summary
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| Main Code: 10,777 LOC (44 files) = PY (61%) + PYI (17%) + CPP (11%) + H (9%) Secondary code: Test: 3,743 LOC (26); Generated: 0 LOC (0); Build & Deploy: 189 LOC (4); Other: 2,698 LOC (5); |
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| Duplication: 27% | |||
| File Size: 33% long (>1000 LOC), 17% short (<= 200 LOC) | |||
| Unit Size: 0% long (>100 LOC), 70% short (<= 10 LOC) | |||
| Conditional Complexity: <1% complex (McCabe index > 50), 79% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (8 components) | ||
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3 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
23 files |
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Latest commit date: 2022-01-24
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24
commits
(30 days)
10
contributors
(30 days) |
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