minor changes from #263

Author: borisdevos

src/fusiontrees/manipulations.jl

@@ -789,13 +789,13 @@ function elementary_trace(f::FusionTree{I, N}, i) where {I <: Sector, N}
         vertices_ = TupleTools.front(f.vertices)
         f_ = FusionTree(uncoupled_, coupled_, isdual_, inner_, vertices_)
         fs = FusionTree((b,), b, (!f.isdual[1],), (), ())
-        for (f_′, coeff) in merge(fs, f_, unit, 1) # coloring gets reversed here, should be the other unit
+        for (f_′, coeff) in merge(fs, f_, unit, 1)
             f_′.innerlines[1] == unit || continue
             uncoupled′ = Base.tail(Base.tail(f_′.uncoupled))
             isdual′ = Base.tail(Base.tail(f_′.isdual))
             inner′ = N <= 4 ? () : Base.tail(Base.tail(f_′.innerlines))
             vertices′ = N <= 3 ? () : Base.tail(Base.tail(f_′.vertices))
-            f′ = FusionTree(uncoupled′, unit, isdual′, inner′, vertices′) # and this one?
+            f′ = FusionTree(uncoupled′, unit, isdual′, inner′, vertices′)
             coeff *= sqrtdim(b)
             if !(f.isdual[N])
                 coeff *= conj(frobeniusschur(b))

test/fusiontrees.jl

@@ -216,7 +216,7 @@ ti = time()
             end
         end
     end
-    @testset "Fusion tree $Istr: elementy artin braid" begin
+    @testset "Fusion tree $Istr: elementary artin braid" begin
         N = length(out)
         isdual = ntuple(n -> rand(Bool), N)
         for in in ⊗(out...)
@@ -273,7 +273,7 @@ ti = time()
         end
     end
     @testset "Fusion tree $Istr: braiding and permuting" begin
-        f = rand(collect(fusiontrees(out, in, isdual)))
+        f = rand(collect(it))
         p = tuple(randperm(N)...)
         ip = invperm(p)
 
@@ -389,7 +389,7 @@ ti = time()
     f1 = rand(collect(fusiontrees(out, incoming, ntuple(n -> rand(Bool), N))))
     f2 = rand(collect(fusiontrees(out[randperm(N)], incoming, ntuple(n -> rand(Bool), N))))
 
-    @testset "Double fusion tree $Istr: repartioning" begin
+    @testset "Double fusion tree $Istr: repartitioning" begin
         for n in 0:(2 * N)
             d = @constinferred TK.repartition(f1, f2, $n)
             @test dim(incoming) ≈

test/runtests.jl

@@ -3,7 +3,7 @@ using TestExtras
 using Random
 using TensorKit
 using Combinatorics
-using TensorKit: ProductSector, fusiontensor, pentagon_equation, hexagon_equation
+using TensorKit: ProductSector, fusiontensor
 using TensorOperations
 using Base.Iterators: take, product
 # using SUNRepresentations: SUNIrrep