tensorflow / fold
Deep learning with dynamic computation graphs in TensorFlow
Summary
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| Main Code: 11,194 LOC (69 files) = PY (38%) + CC (28%) + H (28%) + PROTO (1%) + BZL (1%) + INC (<1%) Secondary code: Test: 4,984 LOC (26); Generated: 0 LOC (0); Build & Deploy: 185 LOC (3); Other: 6,508 LOC (31); |
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| Duplication: 2% | |||
| File Size: 20% long (>1000 LOC), 29% short (<= 200 LOC) | |||
| Unit Size: 1% long (>100 LOC), 68% short (<= 10 LOC) | |||
| Conditional Complexity: <1% complex (McCabe index > 50), 72% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (10 components) | ||
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5 years 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: 2017-10-31
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(30 days)
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