Fix warnings in tests (#1960)

Author: devmotion

test/namedtuple/productnamedtuple.jl

@@ -73,14 +73,14 @@ using Test
         end
 
         @testset "minimum" begin
-            nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(ones(5)))
+            nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(Diagonal(ones(5))))
             d = ProductNamedTupleDistribution(nt)
             @test @inferred(minimum(d)) ==
                 (x=minimum(nt.x), y=minimum(nt.y), z=minimum(nt.z))
         end
 
         @testset "maximum" begin
-            nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(ones(5)))
+            nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(Diagonal(ones(5))))
             d = ProductNamedTupleDistribution(nt)
             @test @inferred(maximum(d)) ==
                 (x=maximum(nt.x), y=maximum(nt.y), z=maximum(nt.z))
@@ -118,7 +118,7 @@ using Test
     end
 
     @testset "Statistics" begin
-        nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(1.0:5.0), w=Poisson(100))
+        nt = (x=Normal(1.0, 2.0), y=Gamma(), z=MvNormal(Diagonal(abs2.(1.0:5.0))), w=Poisson(100))
         d = ProductNamedTupleDistribution(nt)
         @test @inferred(mode(d)) == (x=mode(nt.x), y=mode(nt.y), z=mode(nt.z), w=mode(nt.w))
         @test @inferred(mean(d)) == (x=mean(nt.x), y=mean(nt.y), z=mean(nt.z), w=mean(nt.w))

test/qq.jl

@@ -1,31 +1,32 @@
 using Distributions
 using Test
 
-a = qqbuild(collect(1:10), collect(1:10))
-b = qqbuild(1:10, 1:10)
-c = qqbuild(view(collect(1:20), 1:10), view(collect(1:20), 1:10))
-@test a.qx ≈ b.qx ≈ c.qx ≈ collect(1.0:10)
-@test a.qy ≈ b.qy ≈ c.qy ≈ collect(1.0:10)
+@testset "qqbuild" begin
+    a = qqbuild(collect(1:10), collect(1:10))
+    b = qqbuild(1:10, 1:10)
+    c = qqbuild(view(collect(1:20), 1:10), view(collect(1:20), 1:10))
+    @test a.qx ≈ b.qx ≈ c.qx ≈ collect(1.0:10)
+    @test a.qy ≈ b.qy ≈ c.qy ≈ collect(1.0:10)
 
+    pp = Distributions.ppoints(10)
+    @test length(pp) == 10
+    @test minimum(pp) >= 0
+    @test maximum(pp) <= 1
 
-pp = Distributions.ppoints(10)
-@test length(pp) == 10
-@test minimum(pp) >= 0
-@test maximum(pp) <= 1
+    a = qqbuild(collect(1:10), Uniform(1,10))
+    b = qqbuild(1:10, Uniform(1,10))
+    c = qqbuild(view(collect(1:20), 1:10), Uniform(1,10))
+    @test length(a.qy) == length(a.qx) == 10
+    @test a.qx ≈ b.qx ≈ c.qx ≈ a.qy ≈ b.qy ≈ c.qy
 
-a = qqbuild(collect(1:10), Uniform(1,10))
-b = qqbuild(1:10, Uniform(1,10))
-c = qqbuild(view(collect(1:20), 1:10), Uniform(1,10))
-@test length(a.qy) == length(a.qx) == 10
-@test a.qx ≈ b.qx ≈ c.qx ≈ a.qy ≈ b.qy ≈ c.qy
+    a = qqbuild(Uniform(1,10), collect(1:10))
+    b = qqbuild(Uniform(1,10), 1:10)
+    c = qqbuild(Uniform(1,10), view(collect(1:20), 1:10))
+    @test length(a.qy) == length(a.qx) == 10
+    @test a.qx ≈ b.qx ≈ c.qx ≈ a.qy ≈ b.qy ≈ c.qy
 
-a = qqbuild(Uniform(1,10), collect(1:10))
-b = qqbuild(Uniform(1,10), 1:10)
-c = qqbuild(Uniform(1,10), view(collect(1:20), 1:10))
-@test length(a.qy) == length(a.qx) == 10
-@test a.qx ≈ b.qx ≈ c.qx ≈ a.qy ≈ b.qy ≈ c.qy
-
-for n in 0:3
-    a = qqbuild(rand(n), Uniform(0,1))
-    @test length(a.qy) == length(a.qx) == n
+    for n in 0:3
+        a = qqbuild(rand(n), Uniform(0,1))
+        @test length(a.qy) == length(a.qx) == n
+    end
 end