tensorflow / datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Summary
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| Main Code: 52,582 LOC (680 files) = PY (98%) + PROTO (1%) + JSONL (<1%) + CS (<1%) + RU (<1%) + PT (<1%) + ES (<1%) + NL (<1%) + TOML (<1%) Secondary code: Test: 19,504 LOC (538); Generated: 0 LOC (0); Build & Deploy: 71 LOC (3); Other: 351,705 LOC (2497); |
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| Duplication: 9% | |||
| File Size: 7% long (>1000 LOC), 65% short (<= 200 LOC) | |||
| Unit Size: 8% long (>100 LOC), 53% short (<= 10 LOC) | |||
| Conditional Complexity: 3% complex (McCabe index > 50), 77% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (25 components) | ||
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3 years, 4 months old
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21% 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: 2022-02-02
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88
commits
(30 days)
10
contributors
(30 days) |
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