Remove test dependency on Plots

Project.toml

@@ -48,7 +48,7 @@ Setfield = "0.7, 0.8, 1"
 Statistics = "1.6"
 StatsBase = "0.31, 0.32, 0.33, 0.34"
 StatsFuns = "0.8, 0.9, 1"
-julia = "1.10.2"
+julia = "1.10"
 
 [extras]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"

test/Project.toml

@@ -14,13 +14,11 @@ LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
 MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
-Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 ReTest = "e0db7c4e-2690-44b9-bad6-7687da720f89"
 Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]

test/common.jl

@@ -109,10 +109,5 @@ function LogDensityProblems.capabilities(::Type{typeof(ℓπ_gdemo)})
     return LogDensityProblems.LogDensityOrder{0}()
 end
 
-test_show(x) = test_show(s -> length(s) > 0, x)
-function test_show(pred, x)
-    io = IOBuffer(; append=true)
-    show(io, x)
-    s = read(io, String)
-    @test pred(s)
-end
+test_show(x) = test_show(!isempty, x)
+test_show(pred, x) = @test pred(repr(x))

test/sampler-vec.jl

@@ -1,4 +1,4 @@
-using ReTest, AdvancedHMC, LinearAlgebra, UnicodePlots, Random
+using ReTest, AdvancedHMC, LinearAlgebra, Random
 using Statistics: mean, var, cov
 
 @testset "sample (vectorized)" begin
@@ -95,7 +95,7 @@ using Statistics: mean, var, cov
         end
 
         # Time for multiple runs of single chain
-        time_seperate = Vector{Float64}(undef, n_chains_max)
+        time_separate = Vector{Float64}(undef, n_chains_max)
 
         for (i, n_chains) in enumerate(n_chains_list)
             t = @elapsed for j in 1:n_chains
@@ -104,22 +104,16 @@ using Statistics: mean, var, cov
                     h, κ, θ_init_list[i][:, j], n_samples; verbose=false
                 )
             end
-            time_seperate[i] = t
+            time_separate[i] = t
         end
 
-        # Make plot
-        fig = lineplot(
-            collect(1:n_chains_max),
-            time_mat;
-            title="Scalabiliry of multiple chains",
-            name="vectorization",
-            xlabel="Num of chains",
-            ylabel="Time (s)",
+        println("\nVectorized vs separate sampling")
+        println("  number of chains:              ", n_chains_list)
+        println("  elapsed time [s] (vectorized): ", round.(time_mat; sigdigits=2))
+        println("  elapsed time [s] (separate):   ", round.(time_separate; sigdigits=2))
+        println(
+            "  ratio of elapsed time:         ",
+            round.(time_separate ./ time_mat; sigdigits=2),
         )
-        lineplot!(fig, collect(n_chains_list), time_seperate; color=:blue, name="seperate")
-        println()
-        show(fig)
-        println()
-        println()
     end
 end

test/sampler.jl

@@ -1,11 +1,10 @@
 # Allow pass --progress when running this script individually to turn on progress meter
 const PROGRESS = length(ARGS) > 0 && ARGS[1] == "--progress" ? true : false
 
-using ReTest, AdvancedHMC, LinearAlgebra, Random, Plots
+using ReTest, AdvancedHMC, LinearAlgebra, Random
 using AdvancedHMC: StaticTerminationCriterion, DynamicTerminationCriterion
 using Setfield
 using Statistics: mean, var, cov
-unicodeplots()
 
 function test_stats(
     ::Trajectory{TS,I,TC}, stats, n_adapts