Simplify tests as we no longer support Julia <1.8

Author: penelopeysm

Project.toml

@@ -56,7 +56,7 @@ AdvancedHMC = "0.3.0, 0.4.0, 0.5.2, 0.6"
 AdvancedMH = "0.8"
 AdvancedPS = "0.6.0"
 AdvancedVI = "0.2"
-BangBang = "0.4"
+BangBang = "0.4.2"
 Bijectors = "0.13.6"
 Compat = "4.15.0"
 DataStructures = "0.18"

test/mcmc/hmc.jl

@@ -269,19 +269,15 @@ ADUtils.install_tapir && import Tapir
         end
     end
 
-    # Disable on Julia <1.8 due to https://github.com/TuringLang/Turing.jl/pull/2197.
-    # TODO: Remove this block once https://github.com/JuliaFolds2/BangBang.jl/pull/22 has been released.
-    if VERSION ≥ v"1.8"
-        @testset "(partially) issue: #2095" begin
-            @model function vector_of_dirichlet(::Type{TV}=Vector{Float64}) where {TV}
-                xs = Vector{TV}(undef, 2)
-                xs[1] ~ Dirichlet(ones(5))
-                xs[2] ~ Dirichlet(ones(5))
-            end
-            model = vector_of_dirichlet()
-            chain = sample(model, NUTS(), 1000)
-            @test mean(Array(chain)) ≈ 0.2
+    @testset "(partially) issue: #2095" begin
+        @model function vector_of_dirichlet(::Type{TV}=Vector{Float64}) where {TV}
+            xs = Vector{TV}(undef, 2)
+            xs[1] ~ Dirichlet(ones(5))
+            xs[2] ~ Dirichlet(ones(5))
         end
+        model = vector_of_dirichlet()
+        chain = sample(model, NUTS(), 1000)
+        @test mean(Array(chain)) ≈ 0.2
     end
 
     @testset "issue: #2195" begin

test/mcmc/mh.jl

@@ -185,28 +185,24 @@ GKernel(var) = (x) -> Normal(x, sqrt.(var))
         # @test v1 < v2
     end
 
-    # Disable on Julia <1.8 due to https://github.com/TuringLang/Turing.jl/pull/2197.
-    # TODO: Remove this block once https://github.com/JuliaFolds2/BangBang.jl/pull/22 has been released.
-    if VERSION ≥ v"1.8"
-        @testset "vector of multivariate distributions" begin
-            @model function test(k)
-                T = Vector{Vector{Float64}}(undef, k)
-                for i in 1:k
-                    T[i] ~ Dirichlet(5, 1.0)
-                end
+    @testset "vector of multivariate distributions" begin
+        @model function test(k)
+            T = Vector{Vector{Float64}}(undef, k)
+            for i in 1:k
+                T[i] ~ Dirichlet(5, 1.0)
             end
+        end
 
-            Random.seed!(100)
-            chain = sample(test(1), MH(), 5_000)
-            for i in 1:5
-                @test mean(chain, "T[1][$i]") ≈ 0.2 atol = 0.01
-            end
+        Random.seed!(100)
+        chain = sample(test(1), MH(), 5_000)
+        for i in 1:5
+            @test mean(chain, "T[1][$i]") ≈ 0.2 atol = 0.01
+        end
 
-            Random.seed!(100)
-            chain = sample(test(10), MH(), 5_000)
-            for j in 1:10, i in 1:5
-                @test mean(chain, "T[$j][$i]") ≈ 0.2 atol = 0.01
-            end
+        Random.seed!(100)
+        chain = sample(test(10), MH(), 5_000)
+        for j in 1:10, i in 1:5
+            @test mean(chain, "T[$j][$i]") ≈ 0.2 atol = 0.01
         end
     end