Start using Moshi compatible syntax for singleton ADT variants

Project.toml

@@ -132,7 +132,7 @@ RecursiveArrayTools = "3.26"
 Reexport = "0.2, 1"
 RuntimeGeneratedFunctions = "0.5.9"
 SCCNonlinearSolve = "1.0.0"
-SciMLBase = "2.71.1"
+SciMLBase = "2.72.1"
 SciMLStructures = "1.0"
 Serialization = "1"
 Setfield = "0.7, 0.8, 1"

src/clock.jl

@@ -29,7 +29,7 @@ true if `x` contains only continuous-domain signals.
 See also [`has_continuous_domain`](@ref)
 """
 function is_continuous_domain(x)
-    issym(x) && return getmetadata(x, VariableTimeDomain, false) == Continuous
+    issym(x) && return getmetadata(x, VariableTimeDomain, false) == Continuous()
     !has_discrete_domain(x) && has_continuous_domain(x)
 end
 
@@ -58,8 +58,8 @@ has_time_domain(x::Num) = has_time_domain(value(x))
 has_time_domain(x) = false
 
 for op in [Differential]
-    @eval input_timedomain(::$op, arg = nothing) = Continuous
-    @eval output_timedomain(::$op, arg = nothing) = Continuous
+    @eval input_timedomain(::$op, arg = nothing) = Continuous()
+    @eval output_timedomain(::$op, arg = nothing) = Continuous()
 end
 
 """

src/discretedomain.jl

@@ -247,7 +247,7 @@ function output_timedomain(s::Shift, arg = nothing)
     InferredDiscrete
 end
 
-input_timedomain(::Sample, _ = nothing) = Continuous
+input_timedomain(::Sample, _ = nothing) = Continuous()
 output_timedomain(s::Sample, _ = nothing) = s.clock
 
 function input_timedomain(h::Hold, arg = nothing)
@@ -256,7 +256,7 @@ function input_timedomain(h::Hold, arg = nothing)
     end
     InferredDiscrete # the Hold accepts any discrete
 end
-output_timedomain(::Hold, _ = nothing) = Continuous
+output_timedomain(::Hold, _ = nothing) = Continuous()
 
 sampletime(op::Sample, _ = nothing) = sampletime(op.clock)
 sampletime(op::ShiftIndex, _ = nothing) = sampletime(op.clock)

src/systems/clock_inference.jl

@@ -8,8 +8,8 @@ end
 function ClockInference(ts::TransformationState)
     @unpack structure = ts
     @unpack graph = structure
-    eq_domain = TimeDomain[Continuous for _ in 1:nsrcs(graph)]
-    var_domain = TimeDomain[Continuous for _ in 1:ndsts(graph)]
+    eq_domain = TimeDomain[Continuous() for _ in 1:nsrcs(graph)]
+    var_domain = TimeDomain[Continuous() for _ in 1:ndsts(graph)]
     inferred = BitSet()
     for (i, v) in enumerate(get_fullvars(ts))
         d = get_time_domain(ts, v)
@@ -151,7 +151,7 @@ function split_system(ci::ClockInference{S}) where {S}
             get!(clock_to_id, d) do
                 cid = (cid_counter[] += 1)
                 push!(id_to_clock, d)
-                if d == Continuous
+                if d == Continuous()
                     continuous_id[] = cid
                 end
                 cid

src/systems/systemstructure.jl

@@ -662,7 +662,7 @@ function structural_simplify!(state::TearingState, io = nothing; simplify = fals
                 Dict(v => 0.0 for v in Iterators.flatten(inputs)))
         end
         ps = [sym isa CallWithMetadata ? sym :
-              setmetadata(sym, VariableTimeDomain, get(time_domains, sym, Continuous))
+              setmetadata(sym, VariableTimeDomain, get(time_domains, sym, Continuous()))
               for sym in get_ps(sys)]
         @set! sys.ps = ps
     else

test/clock.jl

@@ -77,19 +77,19 @@ k = ShiftIndex(d)
 
 d = Clock(dt)
 # Note that TearingState reorders the equations
-@test eqmap[1] == Continuous
+@test eqmap[1] == Continuous()
 @test eqmap[2] == d
 @test eqmap[3] == d
 @test eqmap[4] == d
-@test eqmap[5] == Continuous
-@test eqmap[6] == Continuous
+@test eqmap[5] == Continuous()
+@test eqmap[6] == Continuous()
 
 @test varmap[yd] == d
 @test varmap[ud] == d
 @test varmap[r] == d
-@test varmap[x] == Continuous
-@test varmap[y] == Continuous
-@test varmap[u] == Continuous
+@test varmap[x] == Continuous()
+@test varmap[y] == Continuous()
+@test varmap[u] == Continuous()
 
 @info "Testing shift normalization"
 dt = 0.1
@@ -192,10 +192,10 @@ eqs = [yd ~ Sample(dt)(y)
     @test varmap[ud1] == d
     @test varmap[yd2] == d2
     @test varmap[ud2] == d2
-    @test varmap[r] == Continuous
-    @test varmap[x] == Continuous
-    @test varmap[y] == Continuous
-    @test varmap[u] == Continuous
+    @test varmap[r] == Continuous()
+    @test varmap[x] == Continuous()
+    @test varmap[y] == Continuous()
+    @test varmap[u] == Continuous()
 
     @info "test composed systems"
 
@@ -241,14 +241,14 @@ eqs = [yd ~ Sample(dt)(y)
     ci, varmap = infer_clocks(cl)
 
     @test varmap[f.x] == Clock(0.5)
-    @test varmap[p.x] == Continuous
-    @test varmap[p.y] == Continuous
+    @test varmap[p.x] == Continuous()
+    @test varmap[p.y] == Continuous()
     @test varmap[c.ud] == Clock(0.5)
     @test varmap[c.yd] == Clock(0.5)
-    @test varmap[c.y] == Continuous
+    @test varmap[c.y] == Continuous()
     @test varmap[f.y] == Clock(0.5)
     @test varmap[f.u] == Clock(0.5)
-    @test varmap[p.u] == Continuous
+    @test varmap[p.u] == Continuous()
     @test varmap[c.r] == Clock(0.5)
 
     ## Multiple clock rates
@@ -474,7 +474,7 @@ eqs = [yd ~ Sample(dt)(y)
 
     ## Test continuous clock
 
-    c = ModelingToolkit.SolverStepClock
+    c = ModelingToolkit.SolverStepClock()
     k = ShiftIndex(c)
 
     @mtkmodel CounterSys begin