Add formatter

examples/import_bench.jl

@@ -16,7 +16,10 @@ function bench_txt(filepath::String, bench::Bool = true)
     println(name, ":")
     g = parse_abc(filepath)
     print(g)
-    println("  Graph size in memory: ", bytes_to_human_readable(MetagraphOptimization.mem(g)))
+    println(
+        "  Graph size in memory: ",
+        bytes_to_human_readable(MetagraphOptimization.mem(g)),
+    )
 
     if (bench)
         @btime parse_abc($filepath)
@@ -24,7 +27,7 @@ function bench_txt(filepath::String, bench::Bool = true)
 
     println("  Get Operations: ")
     @time get_operations(g)
-    println()
+    return println()
 end
 
 function import_bench()
@@ -34,7 +37,7 @@ function import_bench()
     bench_txt("AB->ABBBBBBB.txt")
     #bench_txt("AB->ABBBBBBBBB.txt")
     bench_txt("ABAB->ABAB.txt")
-    bench_txt("ABAB->ABC.txt")
+    return bench_txt("ABAB->ABC.txt")
 end
 
 import_bench()

examples/plot_chain.jl

@@ -21,7 +21,7 @@ function gen_plot(filepath)
     x = Vector{Float64}()
     y = Vector{Float64}()
 
-    for i = 1:30
+    for i in 1:30
         print("\r", i)
         # push
         opt = get_operations(g)
@@ -38,7 +38,7 @@ function gen_plot(filepath)
             push_operation!(g, rand(collect(opt.nodeSplits)))
             println("NS")
         else
-            i = i-1
+            i = i - 1
         end
 
         props = graph_properties(g)
@@ -48,13 +48,26 @@ function gen_plot(filepath)
 
     println("\rDone.")
 
-    plot([x[1], x[2]], [y[1], y[2]], linestyle = :solid, linewidth = 1, color = :red, legend=false)
+    plot(
+        [x[1], x[2]],
+        [y[1], y[2]],
+        linestyle = :solid,
+        linewidth = 1,
+        color = :red,
+        legend = false,
+    )
     # Create lines connecting the reference point to each data point
     for i in 3:length(x)
-        plot!([x[i-1], x[i]], [y[i-1], y[i]], linestyle = :solid, linewidth = 1, color = :red)
+        plot!(
+            [x[i - 1], x[i]],
+            [y[i - 1], y[i]],
+            linestyle = :solid,
+            linewidth = 1,
+            color = :red,
+        )
     end
 
-    gui()
+    return gui()
 end
 
 gen_plot("AB->ABBB.txt")

examples/plot_star.jl

@@ -18,7 +18,7 @@ function gen_plot(filepath)
 
     println("Random Walking... ")
 
-    for i = 1:30
+    for i in 1:30
         print("\r", i)
         # push
         opt = get_operations(g)
@@ -35,7 +35,7 @@ function gen_plot(filepath)
             push_operation!(g, rand(collect(opt.nodeSplits)))
             println("NS")
         else
-            i = i-1
+            i = i - 1
         end
     end
 
@@ -60,7 +60,14 @@ function gen_plot(filepath)
         push!(y, props.compute_effort)
         pop_operation!(g)
 
-        push!(names, "NF: (" * string(props.data) * ", " * string(props.compute_effort) * ")")
+        push!(
+            names,
+            "NF: (" *
+            string(props.data) *
+            ", " *
+            string(props.compute_effort) *
+            ")",
+        )
     end
     for op in opt.nodeReductions
         push_operation!(g, op)
@@ -69,7 +76,14 @@ function gen_plot(filepath)
         push!(y, props.compute_effort)
         pop_operation!(g)
 
-        push!(names, "NR: (" * string(props.data) * ", " * string(props.compute_effort) * ")")
+        push!(
+            names,
+            "NR: (" *
+            string(props.data) *
+            ", " *
+            string(props.compute_effort) *
+            ")",
+        )
     end
     for op in opt.nodeSplits
         push_operation!(g, op)
@@ -78,19 +92,39 @@ function gen_plot(filepath)
         push!(y, props.compute_effort)
         pop_operation!(g)
 
-        push!(names, "NS: (" * string(props.data) * ", " * string(props.compute_effort) * ")")
+        push!(
+            names,
+            "NS: (" *
+            string(props.data) *
+            ", " *
+            string(props.compute_effort) *
+            ")",
+        )
     end
-    
-    plot([x0, x[1]], [y0, y[1]], linestyle = :solid, linewidth = 1, color = :red, legend=false)
+
+    plot(
+        [x0, x[1]],
+        [y0, y[1]],
+        linestyle = :solid,
+        linewidth = 1,
+        color = :red,
+        legend = false,
+    )
     # Create lines connecting the reference point to each data point
     for i in 2:length(x)
-        plot!([x0, x[i]], [y0, y[i]], linestyle = :solid, linewidth = 1, color = :red)
+        plot!(
+            [x0, x[i]],
+            [y0, y[i]],
+            linestyle = :solid,
+            linewidth = 1,
+            color = :red,
+        )
     end
     #scatter!(x, y, label=names)
 
     print(names)
 
-    gui()
+    return gui()
 end
 
 gen_plot("AB->ABBB.txt")

examples/profiling_utilities.jl

@@ -5,7 +5,7 @@ function test_random_walk(g::DAG, n::Int64)
 
     properties = graph_properties(g)
 
-    for i = 1:n
+    for i in 1:n
         # choose push or pop
         if rand(Bool)
             # push
@@ -32,5 +32,5 @@ function test_random_walk(g::DAG, n::Int64)
         end
     end
 
-    reset_graph!(g)
-end
+    return reset_graph!(g)
+end