Upgrade to TensorAlgebra.jl v0.7 (#208)

Author: mtfishman

Project.toml

@@ -1,7 +1,7 @@
 name = "BlockSparseArrays"
 uuid = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
 authors = ["ITensor developers <support@itensor.org> and contributors"]
-version = "0.10.18"
+version = "0.10.19"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -24,7 +24,7 @@ TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"
 TensorAlgebra = "68bd88dc-f39d-4e12-b2ca-f046b68fcc6a"
 
 [extensions]
-BlockSparseArraysTensorAlgebraExt = "TensorAlgebra"
+BlockSparseArraysTensorAlgebraExt = ["TensorAlgebra", "BlockArrays", "SparseArraysBase"]
 
 [compat]
 Adapt = "4.1.1"
@@ -41,7 +41,7 @@ MapBroadcast = "0.1.5"
 MatrixAlgebraKit = "0.6"
 SparseArraysBase = "0.9"
 SplitApplyCombine = "1.2.3"
-TensorAlgebra = "0.6.2"
+TensorAlgebra = "0.6.2, 0.7"
 TypeParameterAccessors = "0.4.1"
 julia = "1.10"
 

ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl

@@ -1,11 +1,13 @@
 module BlockSparseArraysTensorAlgebraExt
 
-using BlockArrays: Block, blocklength, blocks, eachblockaxes1
+using BlockArrays: AbstractBlockArray, Block, blocklength, blocks, eachblockaxes1
 using BlockSparseArrays: AbstractBlockSparseArray, AbstractBlockSparseMatrix,
     BlockUnitRange, blockrange, blocksparse
 using SparseArraysBase: eachstoredindex
-using TensorAlgebra: TensorAlgebra, BlockReshapeFusion, BlockedTuple, matricize,
-    matricize_axes, tensor_product_axis, unmatricize
+using TensorAlgebra: TensorAlgebra, BlockedTuple, FusionStyle, matricize, matricize_axes,
+    tensor_product_axis, unmatricize
+
+const BlockReshapeFusion = typeof(FusionStyle(AbstractBlockArray))
 
 function TensorAlgebra.tensor_product_axis(
         style::BlockReshapeFusion, side::Val{:codomain}, r1::BlockUnitRange, r2::BlockUnitRange

test/Project.toml

@@ -40,7 +40,7 @@ SafeTestsets = "0.1"
 SparseArraysBase = "0.9"
 StableRNGs = "1"
 Suppressor = "0.2"
-TensorAlgebra = "0.6"
+TensorAlgebra = "0.6, 0.7"
 Test = "1.10"
 TestExtras = "0.3"
 TypeParameterAccessors = "0.4"