Use BaseCompiler.jl

Author: Keno

Manifest.toml

@@ -44,7 +44,10 @@ Tracy = "e689c965-62c8-4b79-b2c5-8359227902fd"
 ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
 
 [sources]
+Compiler = {rev = "master", url = "[email protected]:JuliaLang/BaseCompiler.jl.git"}
+Cthulhu = {rev = "master", url = "https://github.com/JuliaDebug/Cthulhu.jl.git"}
 DifferentiationInterface = {rev = "main", subdir = "DifferentiationInterface", url = "https://github.com/Keno/DifferentiationInterface.jl#main"}
+Diffractor = {rev = "main", url = "https://github.com/JuliaDiff/Diffractor.jl.git"}
 SimpleNonlinearSolve = {rev = "master", subdir = "lib/SimpleNonlinearSolve", url = "https://github.com/SciML/NonlinearSolve.jl.git"}
 StateSelection = {rev = "main", url = "https://github.com/JuliaComputing/StateSelection.jl.git"}
 
@@ -54,7 +57,7 @@ AutoHashEquals = "2.2.0"
 CentralizedCaches = "1.1.0"
 ChainRules = "1.50"
 ChainRulesCore = "1.20"
-Compiler = ">= 0.0.1"
+Compiler = "0"
 DiffEqBase = "6.149.2"
 DifferentiationInterface = "0.6.52"
 Diffractor = "0.2.7"

Project.toml

@@ -41,7 +41,7 @@ function make_daefunction(f)
 end
 
 function make_daefunction(f, initf)
-    DAEFunction(f; initialization_data = SciMLBase.OverrideInitData(NonlinearProblem((args...)->nothing, nothing, nothing), nothing, initf, nothing, nothing))
+    DAEFunction(f; initialization_data = SciMLBase.OverrideInitData(NonlinearProblem((args...)->nothing, nothing, nothing), nothing, initf, nothing, nothing, Val{false}()))
 end
 
 """

src/transform/codegen/dae_factory.jl

@@ -33,7 +33,7 @@ function make_odefunction(f, mass_matrix = LinearAlgebra.I, initf = nothing)
 end
 
 function initialization_data_ode(initf)
-    return SciMLBase.OverrideInitData(NonlinearProblem((args...)->nothing, nothing, nothing), nothing, initf, nothing, nothing)
+    return SciMLBase.OverrideInitData(NonlinearProblem((args...)->nothing, nothing, nothing), nothing, initf, nothing, nothing, Val{false}())
 end
 
 """