Format

Author: mtfishman

test/test_gradedarray.jl

@@ -411,7 +411,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         D = conj.(A) .- B ./ β
         @test Array(D) ≈ conj.(Array(A)) .- Array(B) ./ β
         @test axes(D) == axes(A)
-        Dₗ = linearbroadcasted(+, linearbroadcasted(conj, A), linearbroadcasted(*, -1/β, B))
+        Dₗ = linearbroadcasted(+, linearbroadcasted(conj, A), linearbroadcasted(*, -1 / β, B))
         @test TensorAlgebra.iscall(Dₗ)
         @test Array(copy(Dₗ)) ≈ conj.(Array(A)) .- Array(B) ./ β
         @test axes(Dₗ) == axes(A)

test/test_tensoralgebraext.jl

@@ -4,8 +4,8 @@ using GradedArrays: GradedArray, GradedMatrix, SU2, SectorArray, SectorDelta, U1
     flip, gradedrange, isdual, sector, sector_type, sectorrange, trivial,
     trivial_gradedrange, ⊗
 using Random: randn!
-using TensorAlgebra: TensorAlgebra, FusionStyle, contract,
-    matricize, tensor_product_axis, trivial_axis, unmatricize
+using TensorAlgebra: TensorAlgebra, FusionStyle, contract, matricize, tensor_product_axis,
+    trivial_axis, unmatricize
 using Test: @test, @test_throws, @testset
 
 function randn_blockdiagonal(elt::Type, axes::Tuple)