Add Enzyme rules for factorizations

[kshyatt]

For some reason svd_compact and svd_trunc_no_error don't play nicely with Enzyme here using the MAK rules, I think because of the DiagonalTensorMap output. I can try to investigate further if preferred. I also added some additional logic in pullbacks to match what the MAK pullbacks actually kick back.

[kshyatt]

Oh crap lol I was working on top of a dev-ed MAK

[codecov]

Codecov Report

❌ Patch coverage is 82.00000% with 9 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/factorizations/pullbacks.jl	71.42%	6 Missing ⚠️
ext/TensorKitEnzymeExt/factorizations.jl	96.29%	1 Missing ⚠️
ext/TensorKitEnzymeExt/utility.jl	0.00%	1 Missing ⚠️
src/factorizations/diagonal.jl	0.00%	1 Missing ⚠️

Files with missing lines	Coverage Δ
ext/TensorKitEnzymeExt/TensorKitEnzymeExt.jl	100.00% <ø> (ø)
ext/TensorKitEnzymeExt/factorizations.jl	96.29% <96.29%> (ø)
ext/TensorKitEnzymeExt/utility.jl	20.68% <0.00%> (-0.25%)	⬇️
src/factorizations/diagonal.jl	67.64% <0.00%> (-2.05%)	⬇️
src/factorizations/pullbacks.jl	70.76% <71.42%> (+0.31%)	⬆️

... and 3 files with indirect coverage changes

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[kshyatt]

Weirdly the eig failures seem to go away on MatrixAlgebraKit master, let me try with some [sources] and see if it's reproducible outside of my laptop

[github-actions]

Your PR no longer requires formatting changes. Thank you for your contribution!

[kshyatt]

This map business with block is not the nicest but I thought it was better than letting block(nothing, c) go through silently in other cases