Bump AdvancedPS test requirement to 0.6.1

Author: penelopeysm

test/Project.toml

@@ -42,7 +42,7 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 AbstractMCMC = "5"
 AbstractPPL = "0.9, 0.10"
 AdvancedMH = "0.6, 0.7, 0.8"
-AdvancedPS = "0.6.0"
+AdvancedPS = "0.6.1"
 AdvancedVI = "0.2"
 Aqua = "0.8"
 BangBang = "0.4"

test/mcmc/ess.jl

@@ -71,11 +71,7 @@ using Turing
                 @varname(mu2) => ESS(),
             )
             chain = sample(StableRNG(seed), MoGtest_default, alg, 2000)
-            # (penelopeysm) Note that the tolerance for x86 needs to be larger
-            # because CSMC (i.e. PG) is not reproducible across architectures.
-            # See https://github.com/TuringLang/Turing.jl/issues/2446.
-            atol = Sys.ARCH == :i686 ? 0.12 : 0.1
-            check_MoGtest_default(chain; atol=atol)
+            check_MoGtest_default(chain; atol=0.1)
         end
 
         @testset "TestModels" begin

test/mcmc/gibbs.jl

@@ -476,13 +476,7 @@ end
         # the posterior is analytically known? Doing 10_000 samples to run the test suite
         # is not ideal
         # Issue ref: https://github.com/TuringLang/Turing.jl/issues/2402
-
-        # (penelopeysm) Note also the larger atol on x86 runners. This is
-        # needed because PG is not fully reproducible across architectures,
-        # even when seeded as above. See
-        # https://github.com/TuringLang/Turing.jl/issues/2446
-        mean_atol = Sys.ARCH == :i686 ? 1.3 : 0.8
-        @test isapprox(mean(num_ms), 8.6087; atol=mean_atol)
+        @test isapprox(mean(num_ms), 8.6087; atol=0.8)
         @test isapprox(std(num_ms), 1.8865; atol=0.02)
     end