tensorflow / quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
Summary
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| Main Code: 11,315 LOC (103 files) = CC (51%) + PY (42%) + H (4%) + PROTO (1%) + IN (<1%) Secondary code: Test: 13,883 LOC (55); Generated: 0 LOC (0); Build & Deploy: 256 LOC (9); Other: 135 LOC (4); |
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| Duplication: 34% | |||
| File Size: 0% long (>1000 LOC), 38% short (<= 200 LOC) | |||
| Unit Size: 10% long (>100 LOC), 21% short (<= 10 LOC) | |||
| Conditional Complexity: 2% complex (McCabe index > 50), 38% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (16 components) | ||
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1 year, 12 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
22 files |
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Latest commit date: 2022-01-29
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10
commits
(30 days)
4
contributors
(30 days) |
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