Format .jl files (#121)

Author: github-actions[bot]

ext/ExaModelsKernelAbstractions.jl

@@ -340,7 +340,7 @@ function ExaModels.jprod_nln!(
     x::AbstractVector,
     v::AbstractVector,
     Jv::AbstractVector,
-) where {T,VT,N <: NamedTuple, E<:KAExtension{T,VT,N}}
+) where {T,VT,N<:NamedTuple,E<:KAExtension{T,VT,N}}
 
     fill!(Jv, zero(eltype(Jv)))
     fill!(m.ext.prodhelper.jacbuffer, zero(eltype(Jv)))
@@ -362,7 +362,7 @@ function ExaModels.jtprod_nln!(
     x::AbstractVector,
     v::AbstractVector,
     Jtv::AbstractVector,
-) where {T,VT,N <: NamedTuple, E<:KAExtension{T,VT,N}}
+) where {T,VT,N<:NamedTuple,E<:KAExtension{T,VT,N}}
 
     fill!(Jtv, zero(eltype(Jtv)))
     fill!(m.ext.prodhelper.jacbuffer, zero(eltype(Jtv)))
@@ -386,13 +386,13 @@ function ExaModels.hprod!(
     v::AbstractVector,
     Hv::AbstractVector;
     obj_weight = one(eltype(x)),
-) where {T,VT,N <: NamedTuple, E<:KAExtension{T,VT,N}}
+) where {T,VT,N<:NamedTuple,E<:KAExtension{T,VT,N}}
 
     if isnothing(m.ext.prodhelper)
         error("Prodhelper is not defined. Use ExaModels(c; prod=true) to use hprod!")
     end
 
-  fill!(Hv, zero(eltype(Hv)))
+    fill!(Hv, zero(eltype(Hv)))
     fill!(m.ext.prodhelper.hessbuffer, zero(eltype(Hv)))
 
     _obj_hess_coord!(m.ext.backend, m.ext.prodhelper.hessbuffer, m.objs, x, obj_weight)
@@ -459,7 +459,7 @@ function ExaModels.hess_coord!(
     y::V,
     hess::V;
     obj_weight = one(eltype(y)),
-) where {T,VT,E<:KAExtension, V<:AbstractVector}
+) where {T,VT,E<:KAExtension,V<:AbstractVector}
     fill!(hess, zero(eltype(hess)))
     _obj_hess_coord!(m.ext.backend, hess, m.objs, x, obj_weight)
     _con_hess_coord!(m.ext.backend, hess, m.cons, x, y)

ext/ExaModelsMOI.jl

@@ -55,7 +55,7 @@ end
 
 float_type(::MOIU.Model{T}) where {T} = T
 
-function ExaModels.ExaModel(jm_cache::MOI.ModelLike; backend = nothing, prod=false)
+function ExaModels.ExaModel(jm_cache::MOI.ModelLike; backend = nothing, prod = false)
 
     T = float_type(jm_cache.model)
     minimize = jm_cache.model.objective.sense == MOI.MIN_SENSE
@@ -116,7 +116,7 @@ function ExaModels.ExaModel(jm_cache::MOI.ModelLike; backend = nothing, prod=fal
     cons = ExaModels.constraint(c, offset; start = y0, lcon = lcon, ucon = ucon)
     build_constraint!(c, cons, bin)
 
-    return ExaModels.ExaModel(c; prod=prod)
+    return ExaModels.ExaModel(c; prod = prod)
 end
 
 function exafy_con(cons::Nothing, bin, offset, lcon, ucon)

src/nlp.jl

@@ -733,7 +733,7 @@ end
 @inbounds @inline offset0(a::C, i) where {C<:ConstraintAug} = offset0(a.f, a.itr, i)
 @inbounds @inline offset0(f::F, itr, i) where {P<:Pair,F<:SIMDFunction{P}} =
     f.o0 + f.f.first(itr[i], nothing)
-@inbounds @inline offset0(f::F, itr, i) where {I <: Integer, P<:Pair{I},F<:SIMDFunction{P}} =
+@inbounds @inline offset0(f::F, itr, i) where {I<:Integer,P<:Pair{I},F<:SIMDFunction{P}} =
     f.o0 + f.f.first
 @inbounds @inline offset0(f::F, itr, i) where {T<:Tuple,P<:Pair{T},F<:SIMDFunction{P}} =
     f.o0 + idxx(coord(itr, i, f.f.first), Base.size(itr))