🤖 Format .jl files (#26)

Co-authored-by: tmigot <[email protected]>
JuliaSmoothOptimizers · May 7, 2024 · 41acaca · 41acaca
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Showing 2 changed files with 9 additions and 7 deletions.
diff --git a/test/problems/hs5.jl b/test/problems/hs5.jl
@@ -19,18 +19,16 @@ hs5() = hs5(Float64)
 hs5(::Type{T}) where {T <: Number} = hs5(Vector{T})
 function hs5(::Type{V}) where {V}
   T = eltype(V)
-  hprod(hv, x, v; obj_weight = one(T)) = (
-    hv .=
-      (-sin(x[1] + x[2]) * (v[1] + v[2]) .+ 2 * V([v[1] - v[2]; v[2] - v[1]])) *
-      obj_weight
-  )
+  hprod(hv, x, v; obj_weight = one(T)) =
+    (hv .= (-sin(x[1] + x[2]) * (v[1] + v[2]) .+ 2 * V([v[1] - v[2]; v[2] - v[1]])) * obj_weight)
   hess_coord(vals, x; obj_weight = one(T)) = begin
     vals[1] = vals[3] = -sin(x[1] + x[2]) + 2
     vals[2] = -sin(x[1] + x[2]) - 2
     vals .*= obj_weight
   end
   f(x) = sin(x[1] + x[2]) + (x[1] - x[2])^2 - 3x[1] / 2 + 5x[2] / 2 + 1
-  grad(gx, x) = (gx .= cos(x[1] + x[2]) .+ 2 * (x[1] - x[2]) * V([1; -1]) + V([-15 // 10; 25 // 10]))
+  grad(gx, x) =
+    (gx .= cos(x[1] + x[2]) .+ 2 * (x[1] - x[2]) * V([1; -1]) + V([-15 // 10; 25 // 10]))
   objgrad(gx, x) = f(x), grad(gx, x)
   return NLPModel(
     fill!(V(undef, 2), 0),

diff --git a/test/problems/hs6.jl b/test/problems/hs6.jl
@@ -29,7 +29,11 @@ function hs6(::Type{V}) where {V}
     # objgrad explicitly not implemented
     hprod = hprod,
     hess_coord = ([1], [1], hess_coord),
-    cons = ((cx, x) -> (cx[1] = 10 * (x[2] - x[1]^2); cx), fill!(V(undef, 1), 0), fill!(V(undef, 1), 0)),
+    cons = (
+      (cx, x) -> (cx[1] = 10 * (x[2] - x[1]^2); cx),
+      fill!(V(undef, 1), 0),
+      fill!(V(undef, 1), 0),
+    ),
     jac_coord = ([1, 1], [1, 2], (vals, x) -> (vals[1] = -20x[1]; vals[2] = 10; vals)),
     jprod = (jv, x, v) -> (jv[1] = -20x[1] * v[1] + 10v[2]; jv),
     jtprod = (jtv, x, v) -> (jtv[1] = -20x[1] * v[1]; jtv[2] = 10 * v[1]; jtv),