fix expression bool

Author: ChrisRackauckas

src/systems/diffeqs/abstractodesystem.jl

@@ -327,7 +327,7 @@ function DiffEqBase.ODEFunction{iip, specialize}(sys::AbstractODESystem,
     if !iscomplete(sys)
         error("A completed system is required. Call `complete` or `structural_simplify` on the system before creating an `ODEFunction`")
     end
-    f_gen = generate_function(sys, dvs, ps; expression = Val{!eval_expression},
+    f_gen = generate_function(sys, dvs, ps; expression = Val{true},
         expression_module = eval_module, checkbounds = checkbounds,
         kwargs...)
     f_oop, f_iip = eval_expression ? eval_module.eval.(f_gen) :
@@ -352,7 +352,7 @@ function DiffEqBase.ODEFunction{iip, specialize}(sys::AbstractODESystem,
     if tgrad
         tgrad_gen = generate_tgrad(sys, dvs, ps;
             simplify = simplify,
-            expression = Val{!eval_expression},
+            expression = Val{true},
             expression_module = eval_module,
             checkbounds = checkbounds, kwargs...)
         tgrad_oop, tgrad_iip = eval_expression ? eval_module.eval.(tgrad_gen) :
@@ -373,7 +373,7 @@ function DiffEqBase.ODEFunction{iip, specialize}(sys::AbstractODESystem,
     if jac
         jac_gen = generate_jacobian(sys, dvs, ps;
             simplify = simplify, sparse = sparse,
-            expression = Val{!eval_expression},
+            expression = Val{true},
             expression_module = eval_module,
             checkbounds = checkbounds, kwargs...)
         jac_oop, jac_iip = eval_expression ? eval_module.eval.(jac_gen) :
@@ -484,7 +484,7 @@ function DiffEqBase.DAEFunction{iip}(sys::AbstractODESystem, dvs = unknowns(sys)
         error("A completed system is required. Call `complete` or `structural_simplify` on the system before creating a `DAEFunction`")
     end
     f_gen = generate_function(sys, dvs, ps; implicit_dae = true,
-        expression = Val{!eval_expression},
+        expression = Val{true},
         expression_module = eval_module, checkbounds = checkbounds,
         kwargs...)
     f_oop, f_iip = eval_expression ? eval_module.eval.(f_gen) :
@@ -497,7 +497,7 @@ function DiffEqBase.DAEFunction{iip}(sys::AbstractODESystem, dvs = unknowns(sys)
     if jac
         jac_gen = generate_dae_jacobian(sys, dvs, ps;
             simplify = simplify, sparse = sparse,
-            expression = Val{!eval_expression},
+            expression = Val{true},
             expression_module = eval_module,
             checkbounds = checkbounds, kwargs...)
         jac_oop, jac_iip = eval_expression ? eval_module.eval.(jac_gen) :

src/systems/diffeqs/sdesystem.jl

@@ -415,10 +415,10 @@ function DiffEqBase.SDEFunction{iip}(sys::SDESystem, dvs = unknowns(sys),
     end
     dvs = scalarize.(dvs)
 
-    f_gen = generate_function(sys, dvs, ps; expression = Val{!eval_expression}, kwargs...)
+    f_gen = generate_function(sys, dvs, ps; expression = Val{true}, kwargs...)
     f_oop, f_iip = eval_expression ? eval_module.eval.(f_gen) :
                    (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in f_gen)
-    g_gen = generate_diffusion_function(sys, dvs, ps; expression = Val{!eval_expression},
+    g_gen = generate_diffusion_function(sys, dvs, ps; expression = Val{true},
         kwargs...)
     g_oop, g_iip = eval_expression ? eval_module.eval.(g_gen) :
                    (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in g_gen)
@@ -433,7 +433,7 @@ function DiffEqBase.SDEFunction{iip}(sys::SDESystem, dvs = unknowns(sys),
     g(du, u, p::MTKParameters, t) = g_iip(du, u, p..., t)
 
     if tgrad
-        tgrad_gen = generate_tgrad(sys, dvs, ps; expression = Val{!eval_expression},
+        tgrad_gen = generate_tgrad(sys, dvs, ps; expression = Val{true},
             kwargs...)
         tgrad_oop, tgrad_iip = eval_expression ? eval_module.eval.(tgrad_gen) :
                                (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in tgrad_gen)
@@ -447,7 +447,7 @@ function DiffEqBase.SDEFunction{iip}(sys::SDESystem, dvs = unknowns(sys),
     end
 
     if jac
-        jac_gen = generate_jacobian(sys, dvs, ps; expression = Val{!eval_expression},
+        jac_gen = generate_jacobian(sys, dvs, ps; expression = Val{true},
             sparse = sparse, kwargs...)
         jac_oop, jac_iip = eval_expression ? eval_module.eval.(jac_gen) :
                            (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in jac_gen)

src/systems/discrete_system/discrete_system.jl

@@ -315,7 +315,7 @@ function SciMLBase.DiscreteFunction{iip, specialize}(
     if !iscomplete(sys)
         error("A completed `DiscreteSystem` is required. Call `complete` or `structural_simplify` on the system before creating a `DiscreteProblem`")
     end
-    f_gen = generate_function(sys, dvs, ps; expression = Val{!eval_expression},
+    f_gen = generate_function(sys, dvs, ps; expression = Val{true},
         expression_module = eval_module, kwargs...)
     f_oop, f_iip = eval_expression ? eval_module.eval.(f_gen) :
                    (drop_expr(@RuntimeGeneratedFunction(eval_module, ex)) for ex in f_gen)

src/systems/nonlinear/nonlinearsystem.jl

@@ -283,7 +283,7 @@ function SciMLBase.NonlinearFunction{iip}(sys::NonlinearSystem, dvs = unknowns(s
     if !iscomplete(sys)
         error("A completed `NonlinearSystem` is required. Call `complete` or `structural_simplify` on the system before creating a `NonlinearFunction`")
     end
-    f_gen = generate_function(sys, dvs, ps; expression = Val{!eval_expression}, kwargs...)
+    f_gen = generate_function(sys, dvs, ps; expression = Val{true}, kwargs...)
     f_oop, f_iip = eval_expression ? eval_module.eval.(f_gen) :
                    (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in f_gen)
     f(u, p) = f_oop(u, p)
@@ -294,7 +294,7 @@ function SciMLBase.NonlinearFunction{iip}(sys::NonlinearSystem, dvs = unknowns(s
     if jac
         jac_gen = generate_jacobian(sys, dvs, ps;
             simplify = simplify, sparse = sparse,
-            expression = Val{!eval_expression}, kwargs...)
+            expression = Val{true}, kwargs...)
         jac_oop, jac_iip = eval_expression ? eval_module.eval.(jac_gen) :
                            (drop_expr(@RuntimeGeneratedFunction(ex)) for ex in jac_gen)
         _jac(u, p) = jac_oop(u, p)