🤖 Format .jl files (#113)

Co-authored-by: tmigot <[email protected]>

Author: github-actions[bot]

src/qpmodel.jl

@@ -149,7 +149,8 @@ function QuadraticModel(
 end
 
 similar_empty_matrix(H::AbstractMatrix{T}, n::Integer) where {T} = similar(H, 0, n)
-similar_empty_matrix(::SparseMatrixCOO{T, I}, n::Integer) where {T, I} = SparseMatrixCOO(0, n, I[], I[], T[])
+similar_empty_matrix(::SparseMatrixCOO{T, I}, n::Integer) where {T, I} =
+  SparseMatrixCOO(0, n, I[], I[], T[])
 similar_empty_matrix(::AbstractLinearOperator{T}, n::Integer) where {T} = opZeros(T, 0, n)
 
 function QuadraticModel(

test/runtests.jl

@@ -209,22 +209,8 @@ end
   @test objgrad(SMLO, x)[2] ≈ objgrad(SM, x)[2]
 
   # tests default A value
-  qp = QuadraticModel(
-    c,
-    SparseMatrixCOO(H.data),
-    lvar = lvar,
-    uvar = uvar,
-    c0 = 0.0,
-    name = "QM",
-  )
-  qpLO = QuadraticModel(
-    c,
-    LinearOperator(H),
-    lvar = lvar,
-    uvar = uvar,
-    c0 = 0.0,
-    name = "QMLO",
-  )
+  qp = QuadraticModel(c, SparseMatrixCOO(H.data), lvar = lvar, uvar = uvar, c0 = 0.0, name = "QM")
+  qpLO = QuadraticModel(c, LinearOperator(H), lvar = lvar, uvar = uvar, c0 = 0.0, name = "QMLO")
   @test qp.data.A isa SparseMatrixCOO
   @test qpLO.data.A isa AbstractLinearOperator
 end