drop JETTest for now (requires 1.6+)

Author: cscherrer

Project.toml

@@ -27,10 +27,9 @@ julia = "1.3"
 
 [extras]
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
-JETTest = "a79fb612-4a80-4749-a9bd-c2faab13da61"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "Aqua", "JETTest", "LinearAlgebra", "Statistics"]
+test = ["Test", "Aqua", "LinearAlgebra", "Statistics"]

test/runtests.jl

@@ -10,22 +10,22 @@ Aqua.test_all(MeasureBase; ambiguities=false, unbound_args=false)
 
 d = ∫exp(x -> -x^2, Lebesgue(ℝ))
 
-if VERSION ≥ v"1.6"
-    @eval using JETTest
+# if VERSION ≥ v"1.6"
+#     @eval using JETTest
 
-    @eval begin     
-        @test_nodispatch density(Lebesgue(ℝ), 0.3)
+#     @eval begin     
+#         @test_nodispatch density(Lebesgue(ℝ), 0.3)
 
-        @test_nodispatch density(Dirac(0), 0.3)
-        @test_nodispatch density(Dirac(0), 0)
+#         @test_nodispatch density(Dirac(0), 0.3)
+#         @test_nodispatch density(Dirac(0), 0)
 
-        @test_nodispatch density(d, 3)
+#         @test_nodispatch density(d, 3)
 
-        @test_nodispatch basemeasure(d)
+#         @test_nodispatch basemeasure(d)
 
-        @test_nodispatch logdensity(For(3) do j Dirac(j) end, [1,2,3])
-    end
-end
+#         @test_nodispatch logdensity(For(3) do j Dirac(j) end, [1,2,3])
+#     end
+# end
 
 # function draw2(μ)
 #     x = rand(μ)