awslabs / ml-io
A high performance data access library for machine learning tasks
Summary
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| Main Code: 16,244 LOC (243 files) = CC (51%) + H (38%) + C (5%) + PY (1%) + YAML (<1%) + CMAKE (<1%) + PROTO (<1%) + IN (<1%) + YML (<1%) + CFG (<1%) Secondary code: Test: 720 LOC (6); Generated: 0 LOC (0); Build & Deploy: 53 LOC (4); Other: 1,244 LOC (17); |
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| Duplication: 4% | |||
| File Size: 8% long (>1000 LOC), 67% short (<= 200 LOC) | |||
| Unit Size: 13% long (>100 LOC), 47% short (<= 10 LOC) | |||
| Conditional Complexity: 4% complex (McCabe index > 50), 62% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (24 components) | ||
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2 years, 4 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) | |||
Latest commit date: 2020-09-30
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