Add a reusable test suite (#40)

Author: lkdvos

Project.toml

@@ -19,7 +19,7 @@ Random = "1"
 Reexport = "1"
 TensorOperations = "5"
 Test = "1"
-TestExtras = "0.3"
+TestExtras = "0.3.2"
 WignerSymbols = "1,2"
 
 [extras]

test/runtests.jl

@@ -1,16 +1,7 @@
 using Test
 using TestExtras
-using Random
-# using TensorKit: TensorKitSectors
 using TensorKitSectors
-using TensorOperations
-using Base.Iterators: take, product
-using LinearAlgebra: LinearAlgebra
 
-const TKS = TensorKitSectors
-
-include("testsetup.jl")
-using .TestSetup
 include("newsectors.jl")
 using .NewSectors
 
@@ -46,8 +37,13 @@ const sectorlist = (
     TimeReversed{FermionParity ⊠ SU2Irrep ⊠ NewSU2Irrep},
 )
 
-@testset "$(TensorKitSectors.type_repr(I))" for I in sectorlist
-    @include("sectors.jl")
+include("testsuite.jl")
+using .SectorTestSuite
+
+@testset "Sector test suite" verbose = true begin
+    for sectortype in sectorlist
+        @time SectorTestSuite.test_sector(sectortype)
+    end
 end
 
 @testset "Deligne product" begin
@@ -56,17 +52,17 @@ end
         a = first(smallset(I1))
         b = first(smallset(I2))
 
-        @constinferred a ⊠ b
-        @constinferred a ⊠ b ⊠ a
-        @constinferred a ⊠ b ⊠ a ⊠ b
-        @constinferred I1 ⊠ I2
+        @testinferred a ⊠ b
+        @testinferred a ⊠ b ⊠ a
+        @testinferred a ⊠ b ⊠ a ⊠ b
+        @testinferred I1 ⊠ I2
         @test typeof(a ⊠ b) == I1 ⊠ I2
 
-        @test @constinferred(length(allunits(I1 ⊠ I2))) == 1
-        @test @constinferred(unit(I1 ⊠ I2)) == leftunit(a ⊠ b) == rightunit(a ⊠ b)
+        @test @testinferred(length(allunits(I1 ⊠ I2))) == 1
+        @test @testinferred(unit(I1 ⊠ I2)) == leftunit(a ⊠ b) == rightunit(a ⊠ b)
     end
-    @test @constinferred(Tuple(SU2Irrep(1) ⊠ U1Irrep(0))) == (SU2Irrep(1), U1Irrep(0))
-    @test @constinferred(length(FermionParity(1) ⊠ SU2Irrep(1 // 2) ⊠ U1Irrep(1))) == 3
+    @test @testinferred(Tuple(SU2Irrep(1) ⊠ U1Irrep(0))) == (SU2Irrep(1), U1Irrep(0))
+    @test @testinferred(length(FermionParity(1) ⊠ SU2Irrep(1 // 2) ⊠ U1Irrep(1))) == 3
 end
 
 @testset "Issue that came up in #11" begin

test/sectors.jl

@@ -1,99 +1,122 @@
-Istr = TKS.type_repr(I)
-@testset "Sector $Istr: Basic properties" begin
+using TensorOperations
+using LinearAlgebra
+
+@testsuite "Basic properties" I -> begin
     s = (randsector(I), randsector(I), randsector(I))
-    @test eval(Meta.parse(sprint(show, I))) == I
-    @test eval(Meta.parse(TKS.type_repr(I))) == I
-    @test eval(Meta.parse(sprint(show, s[1]))) == s[1]
-    @test @constinferred(hash(s[1])) == hash(deepcopy(s[1]))
-    @test @constinferred(unit(s[1])) == @constinferred(unit(I))
-    @constinferred dual(s[1])
-    @constinferred dim(s[1])
-    @constinferred frobenius_schur_phase(s[1])
-    @constinferred frobenius_schur_indicator(s[1])
-    @constinferred Nsymbol(s...)
-    @constinferred Asymbol(s...)
-    B = @constinferred Bsymbol(s...)
-    F = @constinferred Fsymbol(s..., s...)
+    @test Base.eval(Main, Meta.parse(sprint(show, I))) == I
+    @test Base.eval(Main, Meta.parse(TensorKitSectors.type_repr(I))) == I
+    @test Base.eval(Main, Meta.parse(sprint(show, s[1]))) == s[1]
+    @test @testinferred(hash(s[1])) == hash(deepcopy(s[1]))
+    @test @testinferred(unit(s[1])) == @testinferred(unit(I))
+    @testinferred dual(s[1])
+    @testinferred dim(s[1])
+    @testinferred frobenius_schur_phase(s[1])
+    @testinferred frobenius_schur_indicator(s[1])
+    @testinferred Nsymbol(s...)
+    @testinferred Asymbol(s...)
+    B = @testinferred Bsymbol(s...)
+    F = @testinferred Fsymbol(s..., s...)
     if BraidingStyle(I) isa HasBraiding
-        R = @constinferred Rsymbol(s...)
+        R = @testinferred Rsymbol(s...)
         if FusionStyle(I) === SimpleFusion()
-            @test typeof(R * F) <: @constinferred sectorscalartype(I)
+            @test typeof(R * F) <: @testinferred sectorscalartype(I)
         else
-            @test Base.promote_op(*, eltype(R), eltype(F)) <: @constinferred sectorscalartype(I)
+            @test Base.promote_op(*, eltype(R), eltype(F)) <: @testinferred sectorscalartype(I)
         end
     else
         if FusionStyle(I) === SimpleFusion()
-            @test typeof(F) <: @constinferred sectorscalartype(I)
+            @test typeof(F) <: @testinferred sectorscalartype(I)
         else
-            @test eltype(F) <: @constinferred sectorscalartype(I)
+            @test eltype(F) <: @testinferred sectorscalartype(I)
         end
     end
-    it = @constinferred s[1] ⊗ s[2]
-    @constinferred ⊗(s..., s...)
+    @testinferred(s[1] ⊗ s[2])
+    @testinferred(⊗(s..., s...))
 end
-@testset "Sector $Istr: Value iterator" begin
+
+@testsuite "Value iterator" I -> begin
     @test eltype(values(I)) == I
     sprev = unit(I)
     for (i, s) in enumerate(values(I))
-        @test !isless(s, sprev) # confirm compatibility with sort order
-        @test s == @constinferred (values(I)[i])
+        @test !isless(s, sprev)
+        @test s == @testinferred(values(I)[i])
         @test findindex(values(I), s) == i
         sprev = s
         i >= 10 && break
     end
     @test unit(I) == first(values(I))
     @test length(allunits(I)) == 1
-    @test (@constinferred findindex(values(I), unit(I))) == 1
+    @test (@testinferred findindex(values(I), unit(I))) == 1
     for s in smallset(I)
-        @test (@constinferred values(I)[findindex(values(I), s)]) == s
+        @test (@testinferred values(I)[findindex(values(I), s)]) == s
     end
 end
-if BraidingStyle(I) isa Bosonic && hasfusiontensor(I)
-    @testset "Sector $Istr: fusion tensor and F-move and R-move" begin
-        for a in smallset(I), b in smallset(I)
-            for c in ⊗(a, b)
-                X1 = permutedims(fusiontensor(a, b, c), (2, 1, 3, 4))
-                X2 = fusiontensor(b, a, c)
-                l = dim(a) * dim(b) * dim(c)
-                R = LinearAlgebra.transpose(Rsymbol(a, b, c))
-                sz = (l, convert(Int, Nsymbol(a, b, c)))
-                @test reshape(X1, sz) ≈ reshape(X2, sz) * R
-            end
-        end
-        for a in smallset(I), b in smallset(I), c in smallset(I)
-            for e in ⊗(a, b), f in ⊗(b, c)
-                for d in intersect(⊗(e, c), ⊗(a, f))
-                    X1 = fusiontensor(a, b, e)
-                    X2 = fusiontensor(e, c, d)
-                    Y1 = fusiontensor(b, c, f)
-                    Y2 = fusiontensor(a, f, d)
-                    @tensor f1[-1, -2, -3, -4] := conj(Y2[a, f, d, -4]) *
-                        conj(Y1[b, c, f, -3]) * X1[a, b, e, -1] * X2[e, c, d, -2]
-                    if FusionStyle(I) isa MultiplicityFreeFusion
-                        f2 = fill(Fsymbol(a, b, c, d, e, f) * dim(d), (1, 1, 1, 1))
-                    else
-                        f2 = Fsymbol(a, b, c, d, e, f) * dim(d)
-                    end
-                    @test isapprox(f1, f2; atol = 1.0e-12, rtol = 1.0e-12)
+
+@testsuite "Fusion and dimensions" I -> begin
+    for a in smallset(I), b in smallset(I)
+        da = dim(a)
+        db = dim(b)
+        dc = sum(c -> dim(c) * Nsymbol(a, b, c), a ⊗ b)
+        @test da * db ≈ dc # needs to be ≈ because of anyons
+    end
+end
+
+@testsuite "Fusion tensor and F-move" I -> begin
+    hasfusiontensor(I) || return nothing
+    for a in smallset(I), b in smallset(I), c in smallset(I)
+        for e in ⊗(a, b), f in ⊗(b, c)
+            for d in intersect(⊗(e, c), ⊗(a, f))
+                X1 = fusiontensor(a, b, e)
+                X2 = fusiontensor(e, c, d)
+                Y1 = fusiontensor(b, c, f)
+                Y2 = fusiontensor(a, f, d)
+                @tensor f1[-1, -2, -3, -4] := conj(Y2[a, f, d, -4]) *
+                    conj(Y1[b, c, f, -3]) * X1[a, b, e, -1] * X2[e, c, d, -2]
+                if FusionStyle(I) isa MultiplicityFreeFusion
+                    f2 = fill(Fsymbol(a, b, c, d, e, f) * dim(d), (1, 1, 1, 1))
+                else
+                    f2 = Fsymbol(a, b, c, d, e, f) * dim(d)
                 end
+                @test isapprox(f1, f2; atol = 1.0e-12, rtol = 1.0e-12)
             end
         end
     end
 end
-if hasfusiontensor(I)
-    @testset "Orthogonality of fusiontensors" begin
-        for a in smallset(I), b in smallset(I)
-            cs = vec(collect(a ⊗ b))
-            CGCs = map(c -> reshape(fusiontensor(a, b, c), :, dim(c)), cs)
-            M = map(Iterators.product(CGCs, CGCs)) do (cgc1, cgc2)
-                return LinearAlgebra.norm(cgc1' * cgc2)
+
+@testsuite "Fusion tensor and R-move" I -> begin
+    (BraidingStyle(I) isa Bosonic && hasfusiontensor(I)) || return nothing
+    for a in smallset(I), b in smallset(I)
+        for c in ⊗(a, b)
+            X1 = permutedims(fusiontensor(a, b, c), (2, 1, 3, 4))
+            X2 = fusiontensor(b, a, c)
+            l = dim(a) * dim(b) * dim(c)
+            R = LinearAlgebra.transpose(Rsymbol(a, b, c))
+            sz = (l, convert(Int, Nsymbol(a, b, c)))
+            @test reshape(X1, sz) ≈ reshape(X2, sz) * R
+        end
+    end
+end
+
+@testsuite "Orthogonality of fusiontensors" I -> begin
+    hasfusiontensor(I) || return nothing
+    for a in smallset(I), b in smallset(I)
+        cs = vec(collect(a ⊗ b))
+        cgcs = map(c -> fusiontensor(a, b, c), cs)
+        for (c, cgc) in zip(cs, cgcs), (c′, cgc′) in zip(cs, cgcs)
+            for μ in 1:Nsymbol(a, b, c), ν in 1:Nsymbol(a, b, c′)
+                @tensor overlap[mc mc'] := conj(view(cgc, :, :, :, μ)[ma mb mc]) *
+                    view(cgc′, :, :, :, ν)[ma mb mc']
+                if μ == ν && c == c′
+                    @test isapprox(overlap, LinearAlgebra.I; atol = 1.0e-12)
+                else
+                    @test isapprox(LinearAlgebra.norm(overlap), 0; atol = 1.0e-12)
+                end
             end
-            @test isapprox(M' * M, LinearAlgebra.Diagonal(dim.(cs)); atol = 1.0e-12)
         end
     end
 end
 
-@testset "Sector $Istr: Unitarity of F-move" begin
+@testsuite "Unitarity of F-move" I -> begin
     for a in smallset(I), b in smallset(I), c in smallset(I)
         for d in ⊗(a, b, c)
             es = collect(intersect(⊗(a, b), map(dual, ⊗(c, dual(d)))))
@@ -105,31 +128,30 @@ end
                 Fblocks = Vector{Any}()
                 for e in es, f in fs
                     Fs = Fsymbol(a, b, c, d, e, f)
-                    push!(
-                        Fblocks,
-                        reshape(Fs, (size(Fs, 1) * size(Fs, 2), size(Fs, 3) * size(Fs, 4)))
-                    )
+                    push!(Fblocks, reshape(Fs, (size(Fs, 1) * size(Fs, 2), size(Fs, 3) * size(Fs, 4))))
                 end
                 F = hvcat(length(fs), Fblocks...)
             end
             @test isapprox(F' * F, one(F); atol = 1.0e-12, rtol = 1.0e-12)
         end
     end
 end
-@testset "Sector $Istr: Triangle equation" begin
+
+@testsuite "Triangle equation" I -> begin
     for a in smallset(I), b in smallset(I)
         @test triangle_equation(a, b; atol = 1.0e-12, rtol = 1.0e-12)
     end
 end
-@testset "Sector $Istr: Pentagon equation" begin
+
+@testsuite "Pentagon equation" I -> begin
     for a in smallset(I), b in smallset(I), c in smallset(I), d in smallset(I)
         @test pentagon_equation(a, b, c, d; atol = 1.0e-12, rtol = 1.0e-12)
     end
 end
-if BraidingStyle(I) isa HasBraiding
-    @testset "Sector $Istr: Hexagon equation" begin
-        for a in smallset(I), b in smallset(I), c in smallset(I)
-            @test hexagon_equation(a, b, c; atol = 1.0e-12, rtol = 1.0e-12)
-        end
+
+@testsuite "Hexagon equation" I -> begin
+    BraidingStyle(I) isa HasBraiding || return nothing
+    for a in smallset(I), b in smallset(I), c in smallset(I)
+        @test hexagon_equation(a, b, c; atol = 1.0e-12, rtol = 1.0e-12)
     end
 end