Apply @mofeing suggestions from code review

Co-authored-by: Sergio Sánchez Ramírez <[email protected]>

src/Optimizers/KaHyPar.jl

@@ -7,8 +7,8 @@ using KaHyPar
     imbalance::Float32 = 0.03
     stop::Function = <=(2) ∘ length ∘ Base.Fix1(getfield, :args)
     configuration::Union{Nothing,Symbol,String} = nothing
-    edge_scaler::Function = (ind_size) -> 1000 * (Int ∘ round ∘ log2)(ind_size)
-    vertex_scaler::Function = (prod_size) -> 1000 * (Int ∘ round ∘ log2)(prod_size)
+    edge_scaler::Function = *(1000) ∘ Int ∘ round ∘ log2
+    vertex_scaler::Function = *(1000) ∘ Int ∘ round ∘ log2
 end
 
 function EinExprs.einexpr(config::HyPar, path)
@@ -23,7 +23,7 @@ function EinExprs.einexpr(config::HyPar, path)
     incidence_matrix = sparse(I, J, V)
 
     # NOTE indices in `inds` should be in the same order as unique indices appear by iterating on `path.args` because `∪` retains order
-        edge_weights = map(ind -> (config.edge_scaler ∘ Base.Fix1(size, path))(ind), inds)
+        edge_weights = map(config.edge_scaler ∘ Base.Fix1(size, path), inds)
         vertex_weights = map(config.vertex_scaler ∘ length, path.args)
 
     hypergraph = KaHyPar.HyperGraph(incidence_matrix, vertex_weights, edge_weights)