Update stable_hash usage to 1.0

[haberdashPI]

Description

This upgrades StableHashTraits to 1.0 and revises its usage accordingly.

Type of change

Delete options that do not apply:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)

Checklist

• Added an entry in NEWS.md (for new features and breaking changes)
• Added or changed relevant sections in the documentation
• Added unit tests for new algorithms, conversion methods, etc.
• Added reference image tests for new plotting functions, recipes, visual options, etc.

[SimonDanisch]

Thank you!
Any idea how to fix the performance regression?
This PR:

path = Makie.bezier_star(8, 0.33, 0.6, pi/2
julia> @btime Makie.StableHashTraits.stable_hash(path; alg=Makie.crc)
  131.000 μs (4977 allocations: 254.51 KiB)
julia> @btime Makie.StableHashTraits.stable_hash(('c', Makie.FreeTypeAbstraction.fontname(Makie.defaultfont())); alg=Makie.crc)
  2.511 μs (100 allocations: 5.20 KiB)

Master:

julia> @btime Makie.StableHashTraits.stable_hash(path)
  5.733 μs (366 allocations: 16.54 KiB)
julia> @btime Makie.StableHashTraits.stable_hash(('c', Makie.FreeTypeAbstraction.fontname(Makie.defaultfont())))
  695.652 ns (28 allocations: 1.30 KiB)

[haberdashPI]

The new version is slower, so this may just be the timings you get with the updates.

I have some performance improvements in the works: (see beacon-biosignals/StableHashTraits.jl#29 and beacon-biosignals/StableHashTraits.jl#30), which should land as a part of v1.1.

[SimonDanisch]

Merged in #3216