An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
This PR migrates ModelingToolkit.jl from the deprecated
unsorted_arguments
toarguments
, following the changes introduced in PR https://github.com/JuliaSymbolics/SymbolicUtils.jl/pull/615 and https://github.com/JuliaSymbolics/Symbolics.jl/pull/1179.Specifically, this PR replaces all instances of
unsorted_arguments
witharguments
to align with the updated SymbolicUtils API.This change ensures compatibility with the latest version of SymbolicUtils.jl and eliminates deprecation warnings.
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