Looking at the data above and earlier findings (that running for text with both 600+ chars takes 1500ms+) I would go with threshold (switching tofastDiff()) when shorter string/array has above 400 elements and
"name": "skatejs-dom-diff", "requires": true, "lockfileVersion": 1, "dependencies": { "@semantic-release/commit-analyzer": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/@semantic-release/commit-analyzer/-/commit-analyzer-2.0.0.tgz", "integrity": "sha1-kk0eLDAWf...
So I did the closest thing; I found the CUDA.jl file in ~/.julia/packages/CUDA/M4jkK/src/, cd'd to it, and ran the commands that you specified: julia> using Artifacts julia> platform = Base.BinaryPlatforms.HostPlatform() Linux x86_64 {cxxstring_abi=cxx11, julia_version=1.7.0, li...
[base64 mime encoded serialized .NET Framework object]</value> </data> <data name="Icon1" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64"> <value>[base64 mime encoded string representing a byte array form of the .NET Framework ...