Add "using GLMakie" to all examples

Author: yijiangh

README.md

@@ -18,7 +18,7 @@ pkg"add TopOpt"
 To additionally load the visualization submodule of `TopOpt`, you will need to install `GLMakie.jl` using:
 
 ```julia
-pkg"add GLMakie"
+pkg"add Makie, GLMakie"
 ```
 
 To load the package, use:
@@ -30,7 +30,7 @@ using TopOpt
 and to optionally load the visualization sub-module as part of `TopOpt`, use:
 
 ```julia
-using TopOpt, GLMakie
+using TopOpt, Makie, GLMakie
 ```
 
 ![gif1](https://user-images.githubusercontent.com/19524993/138464511-2685f3fe-e7c5-482e-8b06-43ab0fb82990.gif)

docs/src/index.md

@@ -22,7 +22,7 @@ pkg"add TopOpt"
 To additionally load the visualization submodule of `TopOpt`, you will need to install `Makie.jl` using:
 
 ```julia
-pkg"add Makie"
+pkg"add Makie, GLMakie"
 ```
 
 To load the package, use:
@@ -34,5 +34,5 @@ using TopOpt
 and to optionally load the visualization sub-module as part of `TopOpt`, use:
 
 ```julia
-using TopOpt, Makie
+using TopOpt, Makie, GLMakie
 ```

docs/src/literate/beso.jl

@@ -33,8 +33,9 @@ x0 = ones(length(solver.vars))
 result = beso(x0)
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(problem; topology = result.topology)
 # Makie.display(fig)

docs/src/literate/csimp.jl

@@ -74,8 +74,9 @@ end
 @show constr(x)
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(problem; topology = x, default_exagg_scale = 0.07,
 #     scale_range = 10.0, vector_linewidth = 3, vector_arrowsize = 0.5,

docs/src/literate/geso.jl

@@ -33,8 +33,9 @@ x0 = ones(length(solver.vars))
 result = geso(x0)
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(problem; topology = result.topology)
 # Makie.display(fig)

docs/src/literate/global_stress.jl

@@ -68,8 +68,9 @@ r = optimize(model, alg, x0; options)
 @show constr(r.minimizer)
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(problem; topology = r.minimizer)
 # Makie.display(fig)

docs/src/literate/local_stress.jl

@@ -47,9 +47,9 @@ maximum(stress(filter(PseudoDensities(x0))))
 maximum(stress(filter(PseudoDensities(x))))
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
-# using Makie
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(
 #    problem; topology = r.minimizer, default_exagg_scale = 0.07,

docs/src/literate/simp.jl

@@ -57,8 +57,9 @@ r = optimize(model, alg, x0; options)
 @show obj(r.minimizer)
 
 # ### (Optional) Visualize the result using Makie.jl
-# Need to run `using Pkg; Pkg.add(Makie)` first
+# Need to run `using Pkg; Pkg.add(["Makie", "GLMakie"])` first
 # ```julia
+# using Makie, GLMakie
 # using TopOpt.TopOptProblems.Visualization: visualize
 # fig = visualize(
 #     problem; topology = r.minimizer,

test/examples/mixed_integer_truss/truss_compliance_2d1.jl

@@ -1,5 +1,5 @@
 using TopOpt, LinearAlgebra, StatsFuns
-# using Makie
+# using Makie, GLMakie
 # using TopOpt.TrussTopOptProblems.TrussVisualization: visualize
 
 Nonconvex.@load Juniper

test/examples/neural.jl

@@ -1,5 +1,4 @@
 using TopOpt, Zygote, ChainRulesCore
-# using Makie
 Nonconvex.@load Ipopt
 
 E = 1.0 # Young’s modulus