cleaner dispatching onto StaticArrays for random gaussian objects

[Fe-r-oz]

Hi, @apkille, I hope you are doing well. Sorry for taking a long time getting back to this PR. I followed the letter and spirit your suggestion: #51 (comment) and implemented the fix and tried it for random Gaussian objects. With this, there is no inference issue that we saw earlier and it works for all the required cases:

julia> randunitary(SArray, QuadPairBasis(1))
GaussianUnitary for 1 mode.
  symplectic basis: QuadPairBasis
displacement: 2-element SVector{2, Float64} with indices SOneTo(2):
 0.876015162384601
 0.3329954658579315
symplectic: 2×2 SMatrix{2, 2, Float64, 4} with indices SOneTo(2)×SOneTo(2):
 -1.42179  0.923228
 -1.52919  0.289627

julia> randunitary(SVector, SMatrix, QuadPairBasis(1))
GaussianUnitary for 1 mode.
  symplectic basis: QuadPairBasis
displacement: 2-element SVector{2, Float64} with indices SOneTo(2):
 0.43337635674542996
 0.5964111844829015
symplectic: 2×2 SMatrix{2, 2, Float64, 4} with indices SOneTo(2)×SOneTo(2):
 -1.01888   1.43857
 -0.832577  0.194057

julia> randunitary(SVector{2}, SMatrix{2,2}, QuadPairBasis(1))
GaussianUnitary for 1 mode.
  symplectic basis: QuadPairBasis
displacement: 2-element SVector{2, Float64} with indices SOneTo(2):
 0.7525975698565875
 0.812388421950281
symplectic: 2×2 SMatrix{2, 2, Float64, 4} with indices SOneTo(2)×SOneTo(2):
 -1.17787   1.17953
 -0.6919   -0.156116

julia> randunitary(SVector{2,Float32}, SMatrix{2,2,Float32}, QuadPairBasis(1))
GaussianUnitary for 1 mode.
  symplectic basis: QuadPairBasis
displacement: 2-element SVector{2, Float32} with indices SOneTo(2):
 0.32348195
 0.9691118
symplectic: 2×2 SMatrix{2, 2, Float32, 4} with indices SOneTo(2)×SOneTo(2):
  0.180392  0.969012
 -0.872356  0.85745

I have tested it as well and tried this approach for random gaussian objects, so I can push it and get your thoughts and suggestions on this! Please help review this PR, Thank you!

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Files with missing lines	Coverage Δ
ext/StaticArraysExt/StaticArraysExt.jl	100.00% <ø> (ø)
ext/StaticArraysExt/utils.jl	96.15% <100.00%> (+12.82%)	⬆️

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[apkille]

Hi Feroz, this LGTM and is much cleaner. Can you fix the method definitions so that they are written more in the standard Julian way? Also can you increase the codecov?

[apkille]

Why the need for let blocks here? Can't you just define a multi-line function in the usual way?