adapt compat

Author: ogauthe

Project.toml

@@ -38,14 +38,14 @@ DiagonalArrays = "0.3"
 Dictionaries = "0.4.3"
 FillArrays = "1.13.0"
 GPUArraysCore = "0.1.0, 0.2"
-GradedUnitRanges = "0.1.0"
+GradedUnitRanges = "0.2"
 LabelledNumbers = "0.1.0"
 LinearAlgebra = "1.10"
 MacroTools = "0.5.13"
 MapBroadcast = "0.1.5"
 SparseArraysBase = "0.5"
 SplitApplyCombine = "1.2.3"
-TensorAlgebra = "0.1.0, 0.2"
+TensorAlgebra = "0.2.4"
 Test = "1.10"
 TypeParameterAccessors = "0.2.0, 0.3"
 julia = "1.10"

ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl

@@ -1,12 +1,7 @@
 module BlockSparseArraysTensorAlgebraExt
 using BlockArrays: AbstractBlockedUnitRange
-using GradedUnitRanges: tensor_product
 using TensorAlgebra: TensorAlgebra, FusionStyle, BlockReshapeFusion
 
-function TensorAlgebra.:⊗(a1::AbstractBlockedUnitRange, a2::AbstractBlockedUnitRange)
-  return tensor_product(a1, a2)
-end
-
 using BlockArrays: AbstractBlockedUnitRange
 using BlockSparseArrays: AbstractBlockSparseArray, blockreshape
 using TensorAlgebra: TensorAlgebra, FusionStyle, BlockReshapeFusion
@@ -46,13 +41,11 @@ using DerivableInterfaces: @interface
 using GradedUnitRanges:
   GradedUnitRanges,
   AbstractGradedUnitRange,
-  OneToOne,
   blockmergesortperm,
   blocksortperm,
   dual,
   invblockperm,
-  nondual,
-  tensor_product
+  nondual
 using LinearAlgebra: Adjoint, Transpose
 using TensorAlgebra:
   TensorAlgebra, FusionStyle, BlockReshapeFusion, SectorFusion, fusedims, splitdims

test/Project.toml

@@ -29,7 +29,7 @@ BlockArrays = "1"
 BlockSparseArrays = "0.3"
 DiagonalArrays = "0.3"
 GPUArraysCore = "0.2"
-GradedUnitRanges = "0.1"
+GradedUnitRanges = "0.2"
 JLArrays = "0.2"
 LabelledNumbers = "0.1"
 LinearAlgebra = "1"
@@ -38,8 +38,8 @@ Random = "1"
 SafeTestsets = "0.1"
 SparseArraysBase = "0.5"
 Suppressor = "0.2"
-SymmetrySectors = "0.1"
-TensorAlgebra = "0.2"
+SymmetrySectors = "0.1.7"
+TensorAlgebra = "0.2.4"
 Test = "1"
 TestExtras = "0.3"
 TypeParameterAccessors = "0.3"

test/test_gradedunitrangesext.jl

@@ -1,4 +1,3 @@
-@eval module $(gensym())
 using Test: @test, @testset
 using BlockArrays:
   AbstractBlockArray, Block, BlockedOneTo, blockedrange, blocklengths, blocksize
@@ -19,6 +18,7 @@ using SymmetrySectors: U1
 using TensorAlgebra: fusedims, splitdims
 using LinearAlgebra: adjoint
 using Random: randn!
+
 function randn_blockdiagonal(elt::Type, axes::Tuple)
   a = BlockSparseArray{elt}(undef, axes)
   blockdiaglength = minimum(blocksize(a))
@@ -390,4 +390,15 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     @test all(GradedUnitRanges.space_isequal.(axes(b), (r, dual(r))))
   end
 end
+
+@testset "dag" begin
+  elt = ComplexF64
+  r = gradedrange([U1(0) => 2, U1(1) => 3])
+  a = BlockSparseArray{elt}(undef, r, dual(r))
+  a[Block(1, 1)] = randn(elt, 2, 2)
+  a[Block(2, 2)] = randn(elt, 3, 3)
+  @test isdual.(axes(a)) == (false, true)
+  ad = dag(a)
+  @test Array(ad) == conj(Array(a))
+  @test isdual.(axes(ad)) == (true, false)
 end