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Co-authored-by: Carlo Lucibello <[email protected]>

Add spaces

Co-authored-by: Carlo Lucibello <[email protected]>

Add spaces

Co-authored-by: Carlo Lucibello <[email protected]>

Add spaces

Co-authored-by: Carlo Lucibello <[email protected]>

Add spaces

Co-authored-by: Carlo Lucibello <[email protected]>

Author: aurorarossi

src/GNNGraphs/query.jl

@@ -424,11 +424,11 @@ If the graph is batched from multiple graphs, return the list of the largest eig
 function laplacian_lambda_max(g::GNNGraph,T::DataType=Float32; 
                              add_self_loops::Bool=false, dir::Symbol=:out)
     if g.num_graphs==1
-        return _eigmax(normalized_laplacian(g,T;add_self_loops,dir))
+        return _eigmax(normalized_laplacian(g, T; add_self_loops, dir))
     else
         eigenvalues=zeros(g.num_graphs)
         for i in 1:g.num_graphs
-            eigenvalues[i]=_eigmax(normalized_laplacian(getgraph(g,i),T;add_self_loops,dir))
+            eigenvalues[i] = _eigmax(normalized_laplacian(getgraph(g, i), T; add_self_loops, dir))
         end
         return eigenvalues
     end

test/GNNGraphs/query.jl

@@ -137,12 +137,12 @@
         t = [2, 3, 4, 5, 1, 5, 1, 2, 3, 4]
         g = GNNGraph(s,t)
         @test laplacian_lambda_max(g) ≈ Float32(1.809017)
-        data1=[g for i in 1:5]
+        data1 = [g for i in 1:5]
         gall1 = Flux.batch(data1)
         @test laplacian_lambda_max(gall1) ≈ [Float32(1.809017) for i in 1:5]
-        data2=[rand_graph(10,20) for i in 1:3]
+        data2 = [rand_graph(10,20) for i in 1:3]
         gall2 = Flux.batch(data2)
-        @test length(laplacian_lambda_max(gall2))==3
+        @test length(laplacian_lambda_max(gall2)) == 3
     end
 
     @testset "adjacency_matrix" begin