amazon-research / BartGraphSumm
Implementation of the paper "Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters (NAACL 2021)"
Summary
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| Main Code: 33,649 LOC (317 files) = PY (94%) + CU (2%) + CPP (1%) + PYX (<1%) + CUH (<1%) + LUA (<1%) + H (<1%) + TOML (<1%) Secondary code: Test: 4,381 LOC (37); Generated: 0 LOC (0); Build & Deploy: 318 LOC (5); Other: 12,581 LOC (133); |
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| Duplication: 16% | |||
| File Size: 0% long (>1000 LOC), 49% short (<= 200 LOC) | |||
| Unit Size: 6% long (>100 LOC), 48% short (<= 10 LOC) | |||
| Conditional Complexity: 4% complex (McCabe index > 50), 59% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (15 components) | ||
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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) | |||
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Features of interest:
TODOs
20 files |
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Latest commit date: 2021-09-14
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