Merge branch 'main' into SparseArrayInterface_BlockSparseArrays_renam…

…e_wrapper_union

NDTensors/Project.toml

@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.3.64"
+version = "0.3.65"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
@@ -73,15 +73,15 @@ HDF5 = "0.14, 0.15, 0.16, 0.17"
 HalfIntegers = "1"
 InlineStrings = "1"
 JLArrays = "0.1, 0.2"
-LinearAlgebra = "<0.0.1, 1.6"
+LinearAlgebra = "<0.0.1, 1.10"
 MacroTools = "0.5"
 MappedArrays = "0.4"
 Metal = "1"
 Octavian = "0.3"
 PackageExtensionCompat = "1"
-Random = "<0.0.1, 1.6"
+Random = "<0.0.1, 1.10"
 SimpleTraits = "0.9.4"
-SparseArrays = "<0.0.1, 1.6"
+SparseArrays = "<0.0.1, 1.10"
 SplitApplyCombine = "1.2.2"
 StaticArrays = "0.12, 1.0"
 Strided = "2"

NDTensors/src/blocksparse/blockoffsets.jl

@@ -1,3 +1,5 @@
+using SparseArrays: SparseArrays
+
 #
 # BlockOffsets
 #
@@ -57,7 +59,7 @@ function offset(bofs::BlockOffsets{N}, block::Block{N}) where {N}
   return bofs[block]
 end
 
-function nnz(bofs::BlockOffsets, inds)
+function SparseArrays.nnz(bofs::BlockOffsets, inds)
   _nnz = 0
   nnzblocks(bofs) == 0 && return _nnz
   for block in eachnzblock(bofs)

NDTensors/src/blocksparse/blocksparsetensor.jl

@@ -1,3 +1,4 @@
+using SparseArrays: nnz
 using .TypeParameterAccessors: similartype
 
 #

NDTensors/src/blocksparse/similar.jl

@@ -1,3 +1,4 @@
+using SparseArrays: nnz
 using .TypeParameterAccessors: similartype
 
 # NDTensors.similar

NDTensors/src/dense/densetensor.jl

@@ -1,3 +1,5 @@
+using SparseArrays: nnz
+
 #
 # DenseTensor (Tensor using Dense storage)
 #

NDTensors/src/dense/tensoralgebra/contract.jl

@@ -1,3 +1,5 @@
+using SparseArrays: nnz
+
 function contraction_output(tensor1::DenseTensor, tensor2::DenseTensor, indsR)
   tensortypeR = contraction_output_type(typeof(tensor1), typeof(tensor2), indsR)
   return NDTensors.similar(tensortypeR, indsR)

NDTensors/src/empty/empty.jl

@@ -1,3 +1,4 @@
+using SparseArrays: SparseArrays
 using .TypeParameterAccessors: TypeParameterAccessors, set_eltype, similartype
 
 #
@@ -66,7 +67,7 @@ isempty(::EmptyStorage) = true
 
 nnzblocks(::EmptyStorage) = 0
 
-nnz(::EmptyStorage) = 0
+SparseArrays.nnz(::EmptyStorage) = 0
 
 function conj(::AllowAlias, S::EmptyStorage)
   return S

NDTensors/src/tensor/tensor.jl

@@ -1,3 +1,5 @@
+using SparseArrays: SparseArrays, nnz
+
 """
 Tensor{StoreT,IndsT}
 
@@ -307,7 +309,7 @@ eachnzblock(T::Tensor) = eachnzblock(storage(T))
 
 blockoffsets(T::Tensor) = blockoffsets(storage(T))
 nnzblocks(T::Tensor) = nnzblocks(storage(T))
-nnz(T::Tensor) = nnz(storage(T))
+SparseArrays.nnz(T::Tensor) = nnz(storage(T))
 nblocks(T::Tensor) = nblocks(inds(T))
 blockdims(T::Tensor, block) = blockdims(inds(T), block)
 blockdim(T::Tensor, block) = blockdim(inds(T), block)

NDTensors/src/tensorstorage/tensorstorage.jl

@@ -1,3 +1,5 @@
+using SparseArrays: SparseArrays
+
 abstract type TensorStorage{ElT} <: AbstractVector{ElT} end
 
 data(S::TensorStorage) = S.data
@@ -98,6 +100,6 @@ nzblocks(T::TensorStorage) = nzblocks(blockoffsets(T))
 eachnzblock(T::TensorStorage) = eachnzblock(blockoffsets(T))
 
 nnzblocks(S::TensorStorage) = length(blockoffsets(S))
-nnz(S::TensorStorage) = length(S)
+SparseArrays.nnz(S::TensorStorage) = length(S)
 
 offset(S::TensorStorage, block) = offset(blockoffsets(S), block)

Project.toml

@@ -1,7 +1,7 @@
 name = "ITensors"
 uuid = "9136182c-28ba-11e9-034c-db9fb085ebd5"
 authors = ["Matthew Fishman <[email protected]>", "Miles Stoudenmire <[email protected]>"]
-version = "0.7.5"
+version = "0.7.6"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -20,6 +20,7 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
 SerializedElementArrays = "d3ce8812-9567-47e9-a7b5-65a6d70a3065"
 SimpleTraits = "699a6c99-e7fa-54fc-8d76-47d257e15c1d"
+SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 Strided = "5e0ebb24-38b0-5f93-81fe-25c709ecae67"
 TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
@@ -46,14 +47,15 @@ DocStringExtensions = "0.9.3"
 Functors = "0.2, 0.3, 0.4, 0.5"
 HDF5 = "0.14, 0.15, 0.16, 0.17"
 IsApprox = "0.1, 1, 2"
-LinearAlgebra = "1.6"
+LinearAlgebra = "1.10"
 NDTensors = "0.3.34"
-Pkg = "1.6"
-Printf = "1.6"
-Random = "1.6"
+Pkg = "1.10"
+Printf = "1.10"
+Random = "1.10"
 Requires = "1.1"
 SerializedElementArrays = "0.1"
 SimpleTraits = "0.9.4"
+SparseArrays = "<0.0.1, 1.10"
 StaticArrays = "0.12, 1.0"
 Strided = "1.1, 2"
 TimerOutputs = "0.5.5"

src/itensor.jl

@@ -1,3 +1,4 @@
+using NDTensors: NDTensors, nnz
 using .TagSets: TagSets, hastags, replacetags
 
 # Private inner constructor
@@ -852,7 +853,11 @@ hasqns(T::Union{Tensor,ITensor}) = hasqns(inds(T))
 
 eachnzblock(T::ITensor) = eachnzblock(tensor(T))
 
-nnz(T::ITensor) = nnz(tensor(T))
+# TODO: Switch this to `SparseArrays.nnz`, it is written
+# this way for backwards compatibility since older versions
+# of NDTensors had their own `NDTensors.nnz` function
+# that didn't overload `SparseArrays.nnz`.
+NDTensors.nnz(T::ITensor) = nnz(tensor(T))
 
 nblocks(T::ITensor, args...) = nblocks(tensor(T), args...)