Upgrade to MatrixAlgebraKit v0.4 (#178)

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 = "0.10.4"
+version = "0.10.5"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -41,7 +41,7 @@ GPUArraysCore = "0.1, 0.2"
 LinearAlgebra = "1.10"
 MacroTools = "0.5.13"
 MapBroadcast = "0.1.5"
-MatrixAlgebraKit = "0.2.2, 0.3"
+MatrixAlgebraKit = "0.2.2, 0.3, 0.4"
 SparseArraysBase = "0.7.1"
 SplitApplyCombine = "1.2.3"
 TensorAlgebra = "0.3, 0.4"

test/Project.toml

@@ -31,7 +31,7 @@ DiagonalArrays = "0.3"
 GPUArraysCore = "0.2"
 JLArrays = "0.2"
 LinearAlgebra = "1"
-MatrixAlgebraKit = "0.2.5, 0.3"
+MatrixAlgebraKit = "0.4"
 Random = "1"
 SafeTestsets = "0.1"
 SparseArraysBase = "0.7"

test/test_factorizations.jl

@@ -230,7 +230,7 @@ end
   @test (V1ᴴ * V1ᴴ' ≈ LinearAlgebra.I)
 
   atol = minimum(LinearAlgebra.diag(S1)) + 10 * eps(real(T))
-  trunc = trunctol(atol)
+  trunc = trunctol(; atol)
 
   U1, S1, V1ᴴ = svd_trunc(a; trunc)
   U2, S2, V2ᴴ = svd_trunc(Matrix(a); trunc)
@@ -246,7 +246,7 @@ end
   rng = StableRNG(123)
   perm = Random.randperm(rng, length(m))
   b = a[Block.(perm), Block.(1:length(n))]
-  for trunc in (truncrank(r), trunctol(atol))
+  for trunc in (truncrank(r), trunctol(; atol))
     U1, S1, V1ᴴ = svd_trunc(b; trunc)
     U2, S2, V2ᴴ = svd_trunc(Matrix(b); trunc)
     @test size(U1) == size(U2)
@@ -262,7 +262,7 @@ end
   I_removed = rand(eachblockstoredindex(b))
   c = copy(b)
   delete!(blocks(c).storage, CartesianIndex(Int.(Tuple(I_removed))))
-  for trunc in (truncrank(r), trunctol(atol))
+  for trunc in (truncrank(r), trunctol(; atol))
     U1, S1, V1ᴴ = svd_trunc(c; trunc)
     U2, S2, V2ᴴ = svd_trunc(Matrix(c); trunc)
     @test size(U1) == size(U2)