diff --git a/Project.toml b/Project.toml
index ec462e4..cc9a8be 100644
--- a/Project.toml
+++ b/Project.toml
@@ -23,10 +23,10 @@ BayesianOptimization = "0.1.1"
 GaussianProcesses = "0.9.0"
 Juno = "0.7"
 LatinHypercubeSampling = "1.2"
-Parameters = "0.12"
+Parameters = "0.11, 0.12"
 RecipesBase = "0.7"
 MacroTools = "0.5"
-Lazy = "0.14"
+Lazy = "0.13, 0.14"
 julia = "1.0"
 
 [extras]
diff --git a/src/samplers.jl b/src/samplers.jl
index a0ea878..e754f5c 100644
--- a/src/samplers.jl
+++ b/src/samplers.jl
@@ -253,7 +253,6 @@ function macrobody(ex, params, candidates, sampler::Hyperband)
             $(esc(ex.args[2]))
         end
         (::$typeof(costfun))($(esc(params[1])), $(esc(:state))) = $(esc(ex.args[2]))
-        @show methods(costfun)
         hyperband($sampler, ho, costfun)
         ho
     end
diff --git a/test/runtests.jl b/test/runtests.jl
index 2cbea04..26a4c87 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -1,4 +1,4 @@
-using Test, Random
+using Test, Random, Distributed
 Random.seed!(0)
 using Hyperopt, Plots
 
@@ -13,13 +13,32 @@ using Hyperopt, Plots
         f(a,b,c=c)
     end
     @test minimum(hor)[2] < 300
+    @test length(hor.history) == 100
+    @test length(hor.results) == 100
+    @test all(hor.history) do h
+        all(hi in hor.candidates[i] for (i,hi) in enumerate(h))
+    end
+
+    horp = @phyperopt for i=100, sampler=RandomSampler(), a = LinRange(1,5,50), b = [true, false], c = exp10.(LinRange(-1,3,50))
+        # println(i, "\t", a, "\t", b, "\t", c)
+        # print(i, " ")
+        f(a,b,c=c)
+    end
+    @test minimum(horp)[2] < 300
+    @test length(horp.history) == 100
+    @test length(horp.results) == 100
 
+    addprocs(2)
+    @everywhere using Hyperopt
+    @everywhere f(a,b=true;c=10) = sum(@. 100 + (a-3)^2 + (b ? 10 : 20) + (c-100)^2)
     horp = @phyperopt for i=100, sampler=RandomSampler(), a = LinRange(1,5,50), b = [true, false], c = exp10.(LinRange(-1,3,50))
         # println(i, "\t", a, "\t", b, "\t", c)
         # print(i, " ")
         f(a,b,c=c)
     end
     @test minimum(horp)[2] < 300
+    @test length(horp.history) == 100
+    @test length(horp.results) == 100
 
     hob = @hyperopt for i=100, sampler=BlueNoiseSampler(), a = LinRange(1,5,100), b = repeat([true, false],50), c = exp10.(LinRange(-1,3,100))
         # println(i, "\t", a, "\t", b, "\t", c)