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Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

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If the sparse matrix actually has structure, it would be nice to have a way to detect that and return the structured matrix type.

Running the tests on Julia master fails with ``` Basics: Test Failed at /Users/kristoffer/JuliaPkgEval/SparsityDetection.jl/test/basics.jl:19 Expression: sparse((testmeta(g, [1], [2]))[1]) == sparse([1], [1], true) Evaluated: 1×1 SparseMatrixCSC{Bool,Int64} with 0 stored entries ==...