refactor: format

Author: AayushSabharwal

docs/src/interfaces/Problems.md

@@ -130,8 +130,8 @@ defaults `Dict(:a => :(2b), :c => 0.1)`. Then:
     `3.0` for `:a`, `:b` and `:c` respectively. Note how the explicitly specified value for
     `:a` overrides the dependent default.
 
-
 ### Aliasing Specification
+
 An `AbstractAliasSpecifier` is associated with each SciMLProblem type. Each holds fields specifying which variables to alias
 when solving. For example, to tell an ODE solver to alias the `u0` array, you can use an `ODEAliases` object,
 and the `alias_u0` keyword argument, e.g. `solve(prob,alias = ODEAliases(alias_u0 = true))`.

src/problems/problem_utils.jl

@@ -29,14 +29,16 @@ function Base.summary(io::IO, prob::AbstractDEProblem)
         no_color,
         ". In-place: ", type_color, isinplace(prob), no_color)
     init = initialization_status(prob)
-    !isnothing(init) && begin 
+    !isnothing(init) && begin
         println(io)
-        print(io, "Initialization status: ", type_color, initialization_status(prob), no_color)
+        print(io, "Initialization status: ", type_color,
+            initialization_status(prob), no_color)
     end
 
     hasproperty(prob.f, :mass_matrix) && begin
         println(io)
-        print(io, "Non-trivial mass matrix: ", type_color, !(prob.f.mass_matrix isa LinearAlgebra.UniformScaling{Bool}), no_color)
+        print(io, "Non-trivial mass matrix: ", type_color,
+            !(prob.f.mass_matrix isa LinearAlgebra.UniformScaling{Bool}), no_color)
     end
 end
 

src/problems/sde_problems.jl

@@ -132,10 +132,12 @@ function ConstructionBase.constructorof(::Type{P}) where {P <: SDEProblem}
             if g !== f.g
                 f = remake(f; g)
             end
-            return SDEProblem{iip}(f, u0, tspan, p; kw..., noise, noise_rate_prototype, seed)
+            return SDEProblem{iip}(
+                f, u0, tspan, p; kw..., noise, noise_rate_prototype, seed)
         else
             iip = isinplace(f, 4)
-            return SDEProblem{iip}(f, g, u0, tspan, p; kw..., noise, noise_rate_prototype, seed)
+            return SDEProblem{iip}(
+                f, g, u0, tspan, p; kw..., noise, noise_rate_prototype, seed)
         end
     end
 end

src/solutions/save_idxs.jl

@@ -45,7 +45,8 @@ function as_diffeq_array(vt::Vector{VectorTemplate}, t)
 end
 
 function get_root_indp(indp)
-    if hasmethod(symbolic_container, Tuple{typeof(indp)}) && (sc = symbolic_container(indp)) !== indp
+    if hasmethod(symbolic_container, Tuple{typeof(indp)}) &&
+       (sc = symbolic_container(indp)) !== indp
         return get_root_indp(sc)
     end
     return indp
@@ -125,7 +126,8 @@ function SavedSubsystem(indp, pobj, saved_idxs::Union{AbstractArray, Tuple})
     end
     if eltype(saved_idxs) == Int
         state_map = Dict{Int, Int}(v => k for (k, v) in enumerate(saved_idxs))
-        return SavedSubsystem(state_map, nothing, nothing, nothing, nothing, nothing, nothing)
+        return SavedSubsystem(
+            state_map, nothing, nothing, nothing, nothing, nothing, nothing)
     end
 
     # array state symbolics must be scalarized

test/downstream/modelingtoolkit_remake.jl

@@ -73,7 +73,7 @@ k = ShiftIndex(t)
 discprob = DiscreteProblem(discsys, [], (0, 10), p)
 for (var, v) in u0
     discprob[var] = v
-    discprob[var(k-1)] = 0.0
+    discprob[var(k - 1)] = 0.0
 end
 push!(syss, discsys)
 push!(probs, discprob)
@@ -268,7 +268,7 @@ end
             newval = ModelingToolkit.fixpoint_sub(sym, varmap; maxiters = 10)
             vs = ModelingToolkit.vars(newval)
             if !isempty(vars) && any(in(Set(vars)), vs)
-               NotSymbolic()
+                NotSymbolic()
                 return true
             end
         end