🤖 Format .jl files

Author: tmigot

.breakage/get_jso_users.jl

@@ -1,18 +1,18 @@
-import GitHub, PkgDeps  # both export users()
-
-length(ARGS) >= 1 || error("specify at least one JSO package as argument")
-
-jso_repos, _ = GitHub.repos("JuliaSmoothOptimizers")
-jso_names = [splitext(x.name)[1] for x ∈ jso_repos]
-
-name = splitext(ARGS[1])[1]
-name ∈ jso_names || error("argument should be one of ", jso_names)
-
-dependents = String[]
-try
-  global dependents = filter(x -> x ∈ jso_names, PkgDeps.users(name))
-catch e
-  # package not registered; don't insert into dependents
-end
-
-println(dependents)
+import GitHub, PkgDeps  # both export users()
+
+length(ARGS) >= 1 || error("specify at least one JSO package as argument")
+
+jso_repos, _ = GitHub.repos("JuliaSmoothOptimizers")
+jso_names = [splitext(x.name)[1] for x ∈ jso_repos]
+
+name = splitext(ARGS[1])[1]
+name ∈ jso_names || error("argument should be one of ", jso_names)
+
+dependents = String[]
+try
+  global dependents = filter(x -> x ∈ jso_names, PkgDeps.users(name))
+catch e
+  # package not registered; don't insert into dependents
+end
+
+println(dependents)

src/P_mat/elemental_em.jl

@@ -67,7 +67,7 @@ function create_id_eem(elt_var::Vector{Int}; T = Float64, convex = false, linear
   nie = length(elt_var)
   _nie = (!linear) * nie
   Bie = zeros(T, _nie, _nie)
-  [Bie[i, i] = 1 for i = 1:_nie]
+  [Bie[i, i] in 1 for i = 1:_nie]
   counter = Counter_elt_mat()
   _Bsr = Vector{T}(undef, _nie)
   eem = Elemental_em{T}(nie, elt_var, Symmetric(Bie), counter, convex, linear, _Bsr)
@@ -83,7 +83,7 @@ function identity_eem(nie::Int; T = Float64, n = nie^2, convex = false, linear =
   indices = rand(1:n, nie)
   _nie = (!linear) * nie
   Bie = zeros(T, _nie, _nie)
-  [Bie[i, i] = 1 for i = 1:_nie]
+  [Bie[i, i] in 1 for i = 1:_nie]
   counter = Counter_elt_mat()
   _Bsr = Vector{T}(undef, _nie)
   eem = Elemental_em{T}(nie, indices, Symmetric(Bie), counter, convex, linear, _Bsr)
@@ -116,7 +116,7 @@ function fixed_ones_eem(i::Int, nie::Int; T = Float64, mul = 5.0, convex = false
   indices = [i:(i + nie - 1);]
   _nie = (!linear) * nie
   Bie = ones(T, _nie, _nie)
-  [Bie[i, i] = mul for i = 1:_nie]
+  [Bie[i, i] in mul for i = 1:_nie]
   counter = Counter_elt_mat()
   _Bsr = Vector{T}(undef, _nie)
   eem = Elemental_em{T}(nie, indices, Symmetric(Bie), counter, convex, linear, _Bsr)

test/P_vec/ev.jl

@@ -10,7 +10,7 @@ using PartitionedStructures.M_abstract_element_struct
   # elemental
   ev1 = new_eev(nᵢᴱ)
   v1 = rand(nᵢᴱ)
-  i1 = [1:nᵢᴱ:(nᵢᴱ^2);]
+  i1 = [1:nᵢᴱ:(nᵢᴱ ^ 2);]
   set_vec!(ev1, v1)
   set_indices!(ev1, i1)
 
@@ -37,7 +37,7 @@ end
 @testset "interface SparseVector" begin
   n = 20
   sx = spzeros(Float64, n)
-  [sx[i] = i for i = 1:2:7]
+  [sx[i] in i for i = 1:2:7]
 
   ex = eev_from_sparse_vec(sx)
   _sx = sparse_vec_from_eev(ex; n = n)
@@ -61,7 +61,7 @@ end
   v1 = get_vec(eev1)
   i1 = get_indices(eev1)
   lin_com = spzeros(eltype(v1), nᵢᴱ, nᵢᴱ) # identity matrix Matrix(I,n,n) didn't work
-  [lin_com[i, i] = 1 for i = 1:nᵢᴱ]
+  [lin_com[i, i] in 1 for i = 1:nᵢᴱ]
   sv = sparsevec(i1, v1)
   _tmp = rand(Int, nᵢᴱ)
 end