| openai / Video-Pre-Training Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos |
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| Standard analyses: | Main Code: 2,820 LOC (22 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 395 LOC (2); |
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| Duplication: 1% | |||
| File Size: 0% long (>1000 LOC), 68% short (<= 200 LOC) | |||
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Logical Component Decomposition: primary (2 components) | ||
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4 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) | |||
| Experimental analyses (less reliable heuristic analyses): | |||
| Unit Size: 0% long (>100 LOC), 75% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 74% simple (McCabe index <= 5) | |||
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Static Component Dependencies: primary (2 components) | ||
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Features of interest:
TODOs
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Overall Activity Per Year
Latest commit date: 2025-09-03
Reference analysis date: 2026-06-24
activity per month, week and day...Per MonthLatest commit date: 2025-09-03
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Per DayLatest commit date: 2025-09-03
activity per month, week and day...Per MonthLatest commit date: 2025-09-03
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Per DayLatest commit date: 2025-09-03
activity per month, week and day...Per MonthLatest commit date: 2025-09-03
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activity per month, week and day...Per MonthLatest commit date: 2025-09-03
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Per DayLatest commit date: 2025-09-03
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