verbose testset reporting (#131)

Author: jishnub

test/ChebyshevTest.jl

@@ -3,23 +3,19 @@ import ApproxFunBase: recA, recB, recC, transform!, itransform!
 import ApproxFunBaseTest: testspace
 import ApproxFunOrthogonalPolynomials: forwardrecurrence
 
-@testset "Chebyshev" begin
+@verbose @testset "Chebyshev" begin
     @testset "Forward recurrence" begin
         @test forwardrecurrence(Float64,Chebyshev(),0:9,1.0) == ones(10)
     end
 
     @testset "ChebyshevInterval" begin
-        @test @inferred Fun(x->2,10)(.1) ≈ 2
-        @test @inferred Fun(x->2)(.1) ≈ 2
-        @test @inferred Fun(Chebyshev,Float64[]).([0.,1.]) ≈ [0.,0.]
-        @test @inferred Fun(Chebyshev,[])(0.) ≈ 0.
-        @test @inferred Fun(x->4,Chebyshev(),1).coefficients == [4.0]
-        @test @inferred Fun(x->4).coefficients == [4.0]
-        @test @inferred Fun(4).coefficients == [4.0]
-
-
-        @test @inferred Fun(x->4).coefficients == [4.0]
-        @test @inferred Fun(4).coefficients == [4.0]
+        @test @inferred(Fun(x->2,10))(.1) ≈ 2
+        @test Fun(x->2)(.1) ≈ 2
+        @test @inferred(Fun(Chebyshev, Float64[])).([0.,1.]) ≈ [0.,0.]
+        @test Fun(Chebyshev, [])(0.) ≈ 0.
+        @test @inferred(Fun(x->4, Chebyshev(), 1)).coefficients == [4.0]
+        @test Fun(x->4).coefficients == [4.0]
+        @test @inferred(Fun(4)).coefficients == [4.0]
 
         f = @inferred Fun(ChebyshevInterval(), [1])
         @test f(0.1) == 1
@@ -61,8 +57,8 @@ import ApproxFunOrthogonalPolynomials: forwardrecurrence
 
         r=2 .* rand(100) .- 1
 
-        @test @inferred maximum(abs,ef.(r)-exp.(r))<200eps()
-        @test @inferred maximum(abs,ecf.(r).-cos.(r).*exp.(r))<200eps()
+        @test @inferred(maximum(abs,ef.(r)-exp.(r))) < 200eps()
+        @test @inferred(maximum(abs,ecf.(r).-cos.(r).*exp.(r))) < 200eps()
 
         @test (@inferred (cf .* ef)(0.1)) ≈ ecf(0.1) ≈ cos(0.1)*exp(0.1)
         @test (@inferred domain(cf.*ef)) ≈ domain(ecf)
@@ -108,8 +104,8 @@ import ApproxFunOrthogonalPolynomials: forwardrecurrence
         ef = Fun(exp,1..2)
         cf = Fun(cos,1..2)
 
-        ecf = Fun(x->cos(x).*exp(x),1..2)
-        eocf = Fun(x->cos(x)./exp(x),1..2)
+        ecf = Fun(x->cos(x)*exp(x),1..2)
+        eocf = Fun(x->cos(x)/exp(x),1..2)
 
         r=rand(100) .+ 1
         x=1.5
@@ -216,16 +212,16 @@ import ApproxFunOrthogonalPolynomials: forwardrecurrence
     end
 
     @testset "inplace transform" begin
-        @testset for T in [Float32, Float64], ET in Any[T, complex(T)]
-            v = Array{ET}(undef, 10)
+        @testset for T in (Float32, Float64), ET in (T, complex(T))
+            v = Array{ET}(undef, 6)
             v2 = similar(v)
-            M = Array{ET}(undef, 10, 10)
+            M = Array{ET}(undef, 6, 6)
             M2 = similar(M)
-            A = Array{ET}(undef, 10, 10, 10)
+            A = Array{ET}(undef, 6, 6, 6)
             A2 = similar(A)
-            @testset for d in Any[(), (0..1,)]
+            @testset for d in ((), (0..1,))
                 C = Chebyshev(d...)
-                Slist = Any[C, NormalizedPolynomialSpace(C)]
+                Slist = (C, NormalizedPolynomialSpace(C))
                 @testset for S in Slist
                     test_transform!(v, v2, S)
                 end

test/JacobiTest.jl

@@ -5,7 +5,7 @@ using ApproxFunBaseTest: testbandedbelowoperator, testbandedoperator, testspace,
                     testfunctional
 import ApproxFunOrthogonalPolynomials: jacobip
 
-@testset "Jacobi" begin
+@verbose @testset "Jacobi" begin
     @testset "Basic" begin
         @test jacobip(0:5,2,0.5,0.1) ≈ [1.,0.975,-0.28031249999999996,-0.8636328125,-0.0022111816406250743,0.7397117980957031]
 
@@ -43,21 +43,21 @@ import ApproxFunOrthogonalPolynomials: jacobip
         @test norm(Fun(Fun(exp),Jacobi(-.5,-.5))-Fun(exp,Jacobi(-.5,-.5))) < 300eps()
 
         @testset "inplace transform" begin
-            @testset for T in [Float32, Float64], ET in Any[T, complex(T)]
+            @testset for T in (Float32, Float64), ET in (T, complex(T))
                 v = Array{ET}(undef, 10)
                 v2 = similar(v)
-                @testset for a in 0:0.5:3, b in 0:0.5:3, d in Any[(), (0..1,)]
+                @testset for a in 0:0.5:3, b in 0:0.5:3, d in ((), (0..1,))
                     J = Jacobi(a, b, d...)
-                    Slist = Any[J, NormalizedPolynomialSpace(J)]
+                    Slist = (J, NormalizedPolynomialSpace(J))
                     @testset for S in Slist
                         test_transform!(v, v2, S)
                     end
                 end
                 v = Array{ET}(undef, 10, 10)
                 v2 = similar(v)
-                @testset for a in 0:0.5:3, b in 0:0.5:3, d in Any[(), (0..1,)]
+                @testset for a in 0:0.5:3, b in 0:0.5:3, d in ((), (0..1,))
                     J = Jacobi(a, b, d...)
-                    Slist = Any[J, NormalizedPolynomialSpace(J)]
+                    Slist = (J, NormalizedPolynomialSpace(J))
                     @testset for S1 in Slist, S2 in Slist
                         S = S1 ⊗ S2
                         test_transform!(v, v2, S)

test/LaguerreTest.jl

@@ -2,7 +2,7 @@ using ApproxFunOrthogonalPolynomials, ApproxFunBase, SpecialFunctions, Test
 import ApproxFunBaseTest: testbandedoperator
 
 
-@testset "Laguerre and WeightedLaguerre" begin
+@verbose @testset "Laguerre and WeightedLaguerre" begin
 
     @testset "General scaled rays" begin
         r = Ray(-1.0,0.0,2.0,true)

test/MultivariateTest.jl

@@ -6,7 +6,7 @@ import ApproxFunOrthogonalPolynomials: chebyshevtransform
 
 import Base: oneto
 
-@testset "Multivariate" begin
+@verbose @testset "Multivariate" begin
     @testset "Square" begin
         S = Space(ChebyshevInterval()^2)
         @test @inferred(blocklengths(S)) ≡ oneto(∞)
@@ -89,8 +89,8 @@ import Base: oneto
         D2 = Derivative(space(L), [0,1])
         @test (D2 * L)(0.1, 0.2) ≈ x(0.1)
         @test (D1 * L)(0.1, 0.2) ≈ y(0.2)
-        # @test ((L * D1) * L)(0.1, 0.2) ≈ x(0.1) * (y(0.2))^2
-        # @test ((L * D2) * L)(0.1, 0.2) ≈ (x(0.1))^2 * y(0.2)
+        @test ((L * D1) * L)(0.1, 0.2) ≈ x(0.1) * (y(0.2))^2
+        @test ((L * D2) * L)(0.1, 0.2) ≈ (x(0.1))^2 * y(0.2)
         @test (D1[L] * L)(0.1, 0.2) ≈ 2x(0.1) * y(0.2)^2
         @test ((Derivative() ⊗ I) * L)(0.1, 0.2) ≈ y(0.2)
         @test ((I ⊗ Derivative()) * L)(0.1, 0.2) ≈ x(0.1)
@@ -345,8 +345,8 @@ import Base: oneto
         D2 = Derivative(Chebyshev() ⊗ Chebyshev(), [0,1])
         @test (D2 * P)(0.1, 0.2) ≈ x(0.1)
         @test (D1 * P)(0.1, 0.2) ≈ y(0.2)
-        # @test ((P * D1) * P)(0.1, 0.2) ≈ x(0.1) * (y(0.2))^2
-        # @test ((P * D2) * P)(0.1, 0.2) ≈ (x(0.1))^2 * y(0.2)
+        @test ((P * D1) * P)(0.1, 0.2) ≈ x(0.1) * (y(0.2))^2
+        @test ((P * D2) * P)(0.1, 0.2) ≈ (x(0.1))^2 * y(0.2)
         @test ((I ⊗ Derivative()) * P)(0.1, 0.2) ≈ x(0.1)
         @test ((Derivative() ⊗ I) * P)(0.1, 0.2) ≈ y(0.2)
 
@@ -368,9 +368,9 @@ import Base: oneto
             M = [0 0 0; 0 1 0; 0 0 0]
             P = ProductFun(M, Chebyshev() ⊗ Chebyshev(), chopping = true)
             @test coefficients(P) == @view M[1:2, 1:2]
-            # M = zeros(3,3)
-            # P = ProductFun(M, Chebyshev() ⊗ Chebyshev(), chopping = true)
-            # @test all(iszero, coefficients(P))
+            M = zeros(3,3)
+            P = ProductFun(M, Chebyshev() ⊗ Chebyshev(), chopping = true)
+            @test all(iszero, coefficients(P))
         end
     end
 

test/ODETest.jl

@@ -2,7 +2,7 @@ using ApproxFunOrthogonalPolynomials, ApproxFunBase, SpecialFunctions, Test, Laz
 import ApproxFunBase: Multiplication, interlace, ∞, ℵ₀
 using ApproxFunBaseTest: testraggedbelowoperator, testbandedoperator
 
-@testset "ODE" begin
+@verbose @testset "ODE" begin
     @testset "Airy" begin
         d=Interval(-10.,5.);
         S=Chebyshev(d)

test/OperatorTest.jl

@@ -4,7 +4,7 @@ using ApproxFunBaseTest: testfunctional, testbandedoperator, testraggedbelowoper
                         testinfoperator, testblockbandedoperator
 import ApproxFunOrthogonalPolynomials: JacobiZ
 
-@testset "Operator" begin
+@verbose @testset "Operator" begin
     @testset "Evaluation" begin
         testfunctional(Evaluation(Ultraspherical(1),0.1))
         d = -4 .. 4

test/PDETest.jl

@@ -2,7 +2,7 @@ using ApproxFunBase, ApproxFunOrthogonalPolynomials, LinearAlgebra, Test
 import ApproxFunBase: Block, ldiv_coefficients
 using ApproxFunBaseTest: testbandedblockbandedoperator, testblockbandedoperator, testraggedbelowoperator
 
-@testset "PDE" begin
+@verbose @testset "PDE" begin
     @testset "Rectangle Laplace/Poisson" begin
         dx = dy = ChebyshevInterval()
         d = dx × dy

test/VectorTest.jl

@@ -11,7 +11,7 @@ import ApproxFunBase: interlace, Multiplication, ConstantSpace, PointSpace,
 using ApproxFunBaseTest: testblockbandedoperator, testraggedbelowoperator
 
 
-@testset "Vector" begin
+@verbose @testset "Vector" begin
     @testset "Construction" begin
         f = Fun(x->[1.,0.])
         @test f(0.) ≈ [1.,0.]

test/broadcastingtest.jl

@@ -2,7 +2,7 @@ using ApproxFunOrthogonalPolynomials, ApproxFunBase, SpecialFunctions, LinearAlg
 
 
 
-@testset "broadcast" begin
+@verbose @testset "broadcast" begin
     @testset "Special functions" begin
         x = Fun()
         @test exp(x) ≈ exp.(x) atol=10eps()

test/runtests.jl

@@ -20,6 +20,20 @@ function test_transform!(v, v2, S)
     @test v2 ≈ v
 end
 
+macro verbose(ex)
+    head = ex.head
+    args = ex.args
+    @assert args[1] == Symbol("@testset")
+    name = args[3] isa String ? args[3] : nothing
+    if VERSION >= v"1.8"
+        insert!(args, 3, Expr(:(=), :verbose, true))
+    end
+    quote
+        $(Expr(head, args...))
+        @info "Finished " * $name * " tests"
+    end
+end
+
 include("ClenshawTest.jl")
 include("ChebyshevTest.jl")
 include("ComplexTest.jl")