facebookresearch / Project_FARSI

We will be open sourcing a tool called FARSI (Facebook AR system investigator), a design space exploration framework. FARSI enables an agile and automated search of optimal hardware allocation and software-to-hardware mapping solutions.

Summary

	CFG
		Main Code: 16,736 LOC (55 files) = PY (99%) + CFG (<1%) Secondary code: Test: 1,610 LOC (8); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 142 LOC (12);
		Duplication: 28%
		File Size: 72% long (>1000 LOC), 11% short (<= 200 LOC)
		Unit Size: 17% long (>100 LOC), 35% short (<= 10 LOC)
		Conditional Complexity: 18% complex (McCabe index > 50), 27% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (10 components)
		7 months old 0% of code older than 365 days 0% of code not updated in the past 365 days
		0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits.
		Goals: Keep the system simple and easy to change (4)
	Features of interest: TODOs 12 files

Commits Trend

Latest commit date: 2022-01-19

5 commits (30 days) 2 contributors (30 days)

Commits 5 279 Contributors 2 6 2022 2021

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Commits	2022 2021 1 270 py cfg cfg
Contributors	2022 2021 1 6 py cfg cfg