Remove more tests

Author: penelopeysm

test/dynamicppl/varinfo.jl

@@ -170,17 +170,10 @@ using Turing
         chain = sample(marr_name_test(), HMC(0.2, 4), 1000)
         check_numerical(chain, ["p[1][1]"], [0]; atol=0.25)
     end
+
     @testset "varinfo" begin
         dists = [Normal(0, 1), MvNormal(zeros(2), I), Wishart(7, [1 0.5; 0.5 1])]
         function test_varinfo!(vi)
-            @test DynamicPPL.getlogp(vi) === 0.0
-            vi = DynamicPPL.setlogp!!(vi, 1)
-            @test DynamicPPL.getlogp(vi) === 1.0
-            vi = DynamicPPL.acclogp!!(vi, 1)
-            @test DynamicPPL.getlogp(vi) === 2.0
-            vi = DynamicPPL.resetlogp!!(vi)
-            @test DynamicPPL.getlogp(vi) === 0.0
-
             spl2 = DynamicPPL.Sampler(PG(5, :w, :u), empty_model())
             vn_w = @varname w
             randr(vi, vn_w, dists[1], spl2, true)
@@ -227,48 +220,6 @@ using Turing
         vi = DynamicPPL.VarInfo()
         test_varinfo!(vi)
         test_varinfo!(empty!!(DynamicPPL.TypedVarInfo(vi)))
-
-        @model igtest() = begin
-            x ~ InverseGamma(2, 3)
-            y ~ InverseGamma(2, 3)
-            z ~ InverseGamma(2, 3)
-            w ~ InverseGamma(2, 3)
-            u ~ InverseGamma(2, 3)
-        end
-
-        # Test the update of group IDs
-        g_demo_f = igtest()
-    end
-
-    @testset "Turing#2151: eltype(vi, spl)" begin
-        # build data
-        t = 1:0.05:8
-        σ = 0.3
-        y = @. rand(sin(t) + Normal(0, σ))
-
-        @model function state_space(y, TT, ::Type{T}=Float64) where {T}
-            # Priors 
-            α ~ Normal(y[1], 0.001)
-            τ ~ Exponential(1)
-            η ~ filldist(Normal(0, 1), TT - 1)
-            σ ~ Exponential(1)
-
-            # create latent variable
-            x = Vector{T}(undef, TT)
-            x[1] = α
-            for t in 2:TT
-                x[t] = x[t - 1] + η[t - 1] * τ
-            end
-
-            # measurement model
-            y ~ MvNormal(x, σ^2 * I)
-
-            return x
-        end
-
-        n = 10
-        model = state_space(y, length(t))
-        @test size(sample(model, NUTS(; adtype=AutoReverseDiff(; compile=true)), n), 1) == n
     end
 end