more WIP

SciML · Nov 7, 2023 · a303634 · a303634
1 parent 3809ea4
commit a303634
Showing 1 changed file with 16 additions and 9 deletions.
diff --git a/src/dense/generic_dense.jl b/src/dense/generic_dense.jl
@@ -451,7 +451,9 @@ function ode_interpolation(tval::Number, id::I, idxs, deriv::D, p,
     differential_vars = trues(length(timeseries[begin]))
     if hasproperty(f, :mass_matrix)
         mm = f.mass_matrix
-        if isdiag(mm)
+        if mm isa UniformScaling
+            # already correct
+        elseif isdiag(mm)
             differential_vars = Diagonal(mm).diag .!= 0
         else
             @show typeof(mm)
@@ -512,7 +514,9 @@ function ode_interpolation!(out, tval::Number, id::I, idxs, deriv::D, p,
     diferential_vars = trues(length(timeseries[begin]))
     if hasproperty(f, :mass_matrix)
         mm = f.mass_matrix
-        if isdiag(mm)
+        if mm isa UniformScaling
+            # already correct
+        elseif isdiag(mm)
             diferential_vars = Diagonal(mm).diag .!= 0
         else
             # @show typeof(mm)
@@ -552,7 +556,7 @@ function ode_interpolation!(out, tval::Number, id::I, idxs, deriv::D, p,
             _ode_addsteps!(ks[i₊], ts[i₋], timeseries[i₋], timeseries[i₊], dt, f, p,
                 cache) # update the kcurrent
             ode_interpolant!(out, Θ, dt, timeseries[i₋], timeseries[i₊], ks[i₊], cache,
-                idxs, deriv)
+                idxs, deriv, differential_vars)
         end
     end
 
@@ -586,20 +590,23 @@ function ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T::Type{Val{TI}}) w
     _ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T)
 end
 
+struct AllDifferential end
+Base.getindex(::AllDifferential, ::Any) = true
+
 function ode_interpolant(Θ, dt, y₀, y₁, k, cache::OrdinaryDiffEqMutableCache, idxs,
-    T::Type{Val{TI}}, differential_vars=[]) where {TI}
+    T::Type{Val{TI}}, differential_vars=AllDifferential()) where {TI}
     @show differential_vars
     if typeof(idxs) <: Number || typeof(y₀) <: Union{Number, SArray}
         # typeof(y₀) can be these if saveidxs gives a single value
-        _ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T)
+        _ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T, differential_vars)
     elseif typeof(idxs) <: Nothing
         if y₁ isa Array{<:Number}
             out = similar(y₁, eltype(first(y₁) * oneunit(Θ)))
             copyto!(out, y₁)
         else
             out = oneunit(Θ) .* y₁
         end
-        _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T)
+        _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T, differential_vars)
     else
         if y₁ isa Array{<:Number}
             out = similar(y₁, eltype(first(y₁) * oneunit(Θ)), axes(idxs))
@@ -609,7 +616,7 @@ function ode_interpolant(Θ, dt, y₀, y₁, k, cache::OrdinaryDiffEqMutableCach
         else
             out = oneunit(Θ) .* y₁[idxs]
         end
-        _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T)
+        _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T, differential_vars)
     end
 end
 
@@ -620,12 +627,12 @@ end
 ##################### Hermite Interpolants
 
 # If no dispatch found, assume Hermite
-function _ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T::Type{Val{TI}}) where {TI}
+function _ode_interpolant(Θ, dt, y₀, y₁, k, cache, idxs, T::Type{Val{TI}}, differential_vars=AllDifferential()) where {TI}
     hermite_interpolant(Θ, dt, y₀, y₁, k, Val{typeof(cache) <: OrdinaryDiffEqMutableCache},
         idxs, T)
 end
 
-function _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T::Type{Val{TI}}) where {TI}
+function _ode_interpolant!(out, Θ, dt, y₀, y₁, k, cache, idxs, T::Type{Val{TI}}, differential_vars=AllDifferential()) where {TI}
     hermite_interpolant!(out, Θ, dt, y₀, y₁, k, idxs, T)
 end