Automatic JuliaFormatter.jl run

docs/src/guide.jl

@@ -60,15 +60,17 @@ constraint(
     c,
     3x[i+1]^3 + 2 * x[i+2] - 5 + sin(x[i+1] - x[i+2])sin(x[i+1] + x[i+2]) + 4x[i+1] -
     x[i]exp(x[i] - x[i+1]) - 3 for i = 1:(N-2);
-    lcon = -1.0, ucon = 1.0
+    lcon = -1.0,
+    ucon = 1.0,
 )
 
 # If you want to create a single-bounded constraint, you can set `lcon` to `-Inf` or `ucon` to `Inf`. For example, if we wanted to set the lower bound of the constraint to -1 and the upper bound to infinity, we could do it as follows:
 constraint(
     c,
     3x[i+1]^3 + 2 * x[i+2] - 5 + sin(x[i+1] - x[i+2])sin(x[i+1] + x[i+2]) + 4x[i+1] -
     x[i]exp(x[i] - x[i+1]) - 3 for i = 1:(N-2);
-    lcon = -1.0, ucon = Inf
+    lcon = -1.0,
+    ucon = Inf,
 )
 
 # ## ExaModel

ext/ExaModelsMOI.jl

@@ -445,10 +445,12 @@ function _exafy(i::R, var_to_idx, p) where {R<:Real}
 end
 
 function _exafy(e::MOI.ScalarNonlinearFunction, var_to_idx, p = ())
-    return op(e.head)((begin
-        c, p = _exafy(e, var_to_idx, p)
-        c
-    end for e in e.args)...), p
+    return op(e.head)((
+        begin
+            c, p = _exafy(e, var_to_idx, p)
+            c
+        end for e in e.args
+    )...), p
 end
 
 function _exafy(e::MOI.ScalarAffineFunction{T}, var_to_idx, p = ()) where {T}

src/graph.jl

@@ -115,11 +115,13 @@ end
 
 @inline Base.getproperty(n::ParSource, s::Symbol) = ParIndexed(n, s)
 @inline Base.getindex(n::ParSource, i) = ParIndexed(n, i)
-@inline Base.indexed_iterate(n::P, idx, start = 1) where P <: Union{ParSource, ParIndexed} = (ParIndexed(n, idx), idx + 1)
+@inline Base.indexed_iterate(n::P, idx, start = 1) where {P<:Union{ParSource,ParIndexed}} =
+    (ParIndexed(n, idx), idx + 1)
 
-@inline Base.getproperty(v::ParIndexed{I, n}, s::Symbol) where {I, n} = ParIndexed(v, s)
-@inline Base.getindex(v::ParIndexed{I, n}, i) where {I, n} = ParIndexed(v, i)
-@inline Base.indexed_iterate(v::ParIndexed{I, n}, idx, start = 1) where {I, n} = (ParIndexed(v, idx), idx + 1)
+@inline Base.getproperty(v::ParIndexed{I,n}, s::Symbol) where {I,n} = ParIndexed(v, s)
+@inline Base.getindex(v::ParIndexed{I,n}, i) where {I,n} = ParIndexed(v, i)
+@inline Base.indexed_iterate(v::ParIndexed{I,n}, idx, start = 1) where {I,n} =
+    (ParIndexed(v, idx), idx + 1)
 
 
 @inline Base.getindex(n::VarSource, i) = Var(i)
@@ -144,7 +146,8 @@ struct Identity end
 @inline (v::ParameterNode{I})(::Identity, x, ::Nothing) where {I<:AbstractNode} = NaN
 
 @inline (v::ParSource)(i, x, θ) = i
-@inline (v::ParIndexed{I,n})(i, x, θ) where {I,n} = @inbounds getfield(getfield(v, :inner)(i, x, θ), n)
+@inline (v::ParIndexed{I,n})(i, x, θ) where {I,n} =
+    @inbounds getfield(getfield(v, :inner)(i, x, θ), n)
 
 (v::ParIndexed)(i::Identity, x, θ) = NaN # despecialized
 (v::ParSource)(i::Identity, x, θ) = NaN # despecialized

src/simdfunction.jl

@@ -25,7 +25,7 @@ struct SIMDFunction{F,C1,C2}
 end
 
 @inline (sf::SIMDFunction{F,C1,C2})(i, x, θ) where {F,C1,C2} = sf.f(i, x, θ)
-@inline (sf::SIMDFunction{F,C1,C2})(i, x, θ) where {F <: Real,C1,C2} = sf.f
+@inline (sf::SIMDFunction{F,C1,C2})(i, x, θ) where {F<:Real,C1,C2} = sf.f
 
 """
     SIMDFunction(gen::Base.Generator, o0 = 0, o1 = 0, o2 = 0)

test/NLPTest/luksan_struct.jl

@@ -1,5 +1,5 @@
 struct I2
-    i::Tuple{Int, Int}
+    i::Tuple{Int,Int}
 end
 
 struct I1
@@ -9,10 +9,15 @@ end
 function _exa_luksan_struct_model(backend, N; M = 1)
 
     c = ExaCore(backend = backend)
-    data = [I1(I2((i,j))) for i = 1:N, j = 1:M]
+    data = [I1(I2((i, j))) for i = 1:N, j = 1:M]
     x = variable(c, N, M; start = [luksan_vlcek_x0(i.i.i[1]) for i in data])
-    s = constraint(c, luksan_vlcek_con1(x, i.i.i[1], i.i.i[2]) for i in data[1:end-2,:])
-    constraint!(c, s, (i.i.i[1], i.i.i[2]) => luksan_vlcek_con2(x, i.i.i[1], i.i.i[2]) for i in data[1:end-2,:])
+    s = constraint(c, luksan_vlcek_con1(x, i.i.i[1], i.i.i[2]) for i in data[1:(end-2), :])
+    constraint!(
+        c,
+        s,
+        (i.i.i[1], i.i.i[2]) => luksan_vlcek_con2(x, i.i.i[1], i.i.i[2]) for
+        i in data[1:(end-2), :]
+    )
     objective(c, luksan_vlcek_obj(x, i, j) for i = 2:N, j = 1:M)
 
     return ExaModel(c; prod = true), (x,), (s,)