Merge branch 'main' into BlockSparseArrays_more_constructors

Author: mtfishman

NDTensors/Project.toml

@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.3.65"
+version = "0.3.67"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"

NDTensors/src/lib/BlockSparseArrays/examples/README.jl

@@ -7,7 +7,7 @@
 # `BlockArrays` reinterprets the `SparseArray` as a blocked data structure.
 
 using BlockArrays: BlockArrays, PseudoBlockVector, blockedrange
-using NDTensors.BlockSparseArrays: BlockSparseArray, block_nstored
+using NDTensors.BlockSparseArrays: BlockSparseArray, block_stored_length
 using Test: @test, @test_broken
 
 function main()
@@ -36,13 +36,13 @@ function main()
   ]
   b = BlockSparseArray(nz_blocks, d_blocks, i_axes)
 
-  @test block_nstored(b) == 2
+  @test block_stored_length(b) == 2
 
   ## Blocks with discontiguous underlying data
   d_blocks = randn.(nz_block_sizes)
   b = BlockSparseArray(nz_blocks, d_blocks, i_axes)
 
-  @test block_nstored(b) == 2
+  @test block_stored_length(b) == 2
 
   ## Access a block
   @test b[Block(1, 1)] == d_blocks[1]
@@ -65,7 +65,7 @@ function main()
 
   @test b + b ≈ Array(b) + Array(b)
   @test b + b isa BlockSparseArray
-  @test block_nstored(b + b) == 2
+  @test block_stored_length(b + b) == 2
 
   scaled_b = 2b
   @test scaled_b ≈ 2Array(b)

NDTensors/src/lib/BlockSparseArrays/ext/BlockSparseArraysGradedAxesExt/test/runtests.jl

@@ -2,7 +2,7 @@
 using Test: @test, @testset
 using BlockArrays:
   AbstractBlockArray, Block, BlockedOneTo, blockedrange, blocklengths, blocksize
-using NDTensors.BlockSparseArrays: BlockSparseArray, block_nstored
+using NDTensors.BlockSparseArrays: BlockSparseArray, block_stored_length
 using NDTensors.GradedAxes:
   GradedAxes,
   GradedOneTo,
@@ -13,7 +13,7 @@ using NDTensors.GradedAxes:
   gradedrange,
   isdual
 using NDTensors.LabelledNumbers: label
-using NDTensors.SparseArrayInterface: nstored
+using NDTensors.SparseArrayInterface: stored_length
 using NDTensors.SymmetrySectors: U1
 using NDTensors.TensorAlgebra: fusedims, splitdims
 using LinearAlgebra: adjoint
@@ -40,8 +40,8 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
       @test size(b) == (4, 4, 4, 4)
       @test blocksize(b) == (2, 2, 2, 2)
       @test blocklengths.(axes(b)) == ([2, 2], [2, 2], [2, 2], [2, 2])
-      @test nstored(b) == 32
-      @test block_nstored(b) == 2
+      @test stored_length(b) == 32
+      @test block_stored_length(b) == 2
       for i in 1:ndims(a)
         @test axes(b, i) isa GradedOneTo
       end
@@ -58,8 +58,8 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
       @test size(b) == (4, 4, 4, 4)
       @test blocksize(b) == (2, 2, 2, 2)
       @test blocklengths.(axes(b)) == ([2, 2], [2, 2], [2, 2], [2, 2])
-      @test nstored(b) == 256
-      @test block_nstored(b) == 16
+      @test stored_length(b) == 256
+      @test block_stored_length(b) == 16
       for i in 1:ndims(a)
         @test axes(b, i) isa BlockedOneTo{Int}
       end
@@ -71,8 +71,8 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
     b = a[2:3, 2:3, 2:3, 2:3]
     @test size(b) == (2, 2, 2, 2)
     @test blocksize(b) == (2, 2, 2, 2)
-    @test nstored(b) == 2
-    @test block_nstored(b) == 2
+    @test stored_length(b) == 2
+    @test block_stored_length(b) == 2
     for i in 1:ndims(a)
       @test axes(b, i) isa GradedOneTo
     end
@@ -156,7 +156,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)
       for i in 1:2
         @test axes(b, i) isa GradedOneTo
@@ -177,7 +177,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)
       for i in 1:2
         @test axes(b, i) isa GradedUnitRange
@@ -204,7 +204,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)
       for i in 1:2
         @test axes(b, i) isa GradedUnitRangeDual
@@ -229,7 +229,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)
       for i in 1:2
         @test axes(b, i) isa GradedUnitRangeDual
@@ -255,7 +255,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)
       @test a[:, :] isa BlockSparseArray
       for i in 1:2
@@ -280,7 +280,7 @@ const elts = (Float32, Float64, Complex{Float32}, Complex{Float64})
         a[i] = randn(elt, size(a[i]))
       end
       b = 2 * a'
-      @test block_nstored(b) == 2
+      @test block_stored_length(b) == 2
       @test Array(b) == 2 * Array(a)'
       for ax in axes(b)
         @test ax isa typeof(dual(r))

NDTensors/src/lib/BlockSparseArrays/src/BlockArraysExtensions/BlockArraysExtensions.jl

@@ -22,7 +22,7 @@ using BlockArrays:
 using Compat: allequal
 using Dictionaries: Dictionary, Indices
 using ..GradedAxes: blockedunitrange_getindices, to_blockindices
-using ..SparseArrayInterface: SparseArrayInterface, nstored, stored_indices
+using ..SparseArrayInterface: SparseArrayInterface, stored_length, stored_indices
 
 # A return type for `blocks(array)` when `array` isn't blocked.
 # Represents a vector with just that single block.
@@ -534,13 +534,13 @@ function Base.setindex!(a::BlockView{<:Any,N}, value, index::Vararg{Int,N}) wher
   return a
 end
 
-function SparseArrayInterface.nstored(a::BlockView)
+function SparseArrayInterface.stored_length(a::BlockView)
   # TODO: Store whether or not the block is stored already as
   # a Bool in `BlockView`.
   I = CartesianIndex(Int.(a.block))
   # TODO: Use `block_stored_indices`.
   if I ∈ stored_indices(blocks(a.array))
-    return nstored(blocks(a.array)[I])
+    return stored_length(blocks(a.array)[I])
   end
   return 0
 end

NDTensors/src/lib/BlockSparseArrays/src/BlockArraysSparseArrayInterfaceExt/BlockArraysSparseArrayInterfaceExt.jl

@@ -1,8 +1,8 @@
 using BlockArrays: AbstractBlockArray, BlocksView
-using ..SparseArrayInterface: SparseArrayInterface, nstored
+using ..SparseArrayInterface: SparseArrayInterface, stored_length
 
-function SparseArrayInterface.nstored(a::AbstractBlockArray)
-  return sum(b -> nstored(b), blocks(a); init=zero(Int))
+function SparseArrayInterface.stored_length(a::AbstractBlockArray)
+  return sum(b -> stored_length(b), blocks(a); init=zero(Int))
 end
 
 # TODO: Handle `BlocksView` wrapping a sparse array?

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/abstractblocksparsearray.jl

@@ -3,7 +3,7 @@ using BlockArrays:
 using ..SparseArrayInterface: sparse_getindex, sparse_setindex!
 
 # TODO: Delete this. This function was replaced
-# by `nstored` but is still used in `NDTensors`.
+# by `stored_length` but is still used in `NDTensors`.
 function nonzero_keys end
 
 abstract type AbstractBlockSparseArray{T,N} <: AbstractBlockArray{T,N} end

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/arraylayouts.jl

@@ -3,7 +3,7 @@ using BlockArrays: BlockLayout
 using ..SparseArrayInterface: SparseLayout
 using ..TypeParameterAccessors: parenttype, similartype
 
-function ArrayLayouts.MemoryLayout(arraytype::Type{<:BlockSparseArrayLike})
+function ArrayLayouts.MemoryLayout(arraytype::Type{<:AnyAbstractBlockSparseArray})
   outer_layout = typeof(MemoryLayout(blockstype(arraytype)))
   inner_layout = typeof(MemoryLayout(blocktype(arraytype)))
   return BlockLayout{outer_layout,inner_layout}()

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/broadcast.jl

@@ -1,7 +1,7 @@
 using BlockArrays: AbstractBlockedUnitRange, BlockSlice
 using Base.Broadcast: Broadcast
 
-function Broadcast.BroadcastStyle(arraytype::Type{<:BlockSparseArrayLike})
+function Broadcast.BroadcastStyle(arraytype::Type{<:AnyAbstractBlockSparseArray})
   return BlockSparseArrayStyle{ndims(arraytype)}()
 end
 

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/cat.jl

@@ -1,5 +1,5 @@
 # TODO: Change to `AnyAbstractBlockSparseArray`.
-function Base.cat(as::BlockSparseArrayLike...; dims)
+function Base.cat(as::AnyAbstractBlockSparseArray...; dims)
   # TODO: Use `sparse_cat` instead, currently
   # that erroneously allocates too many blocks that are
   # zero and shouldn't be stored.

NDTensors/src/lib/BlockSparseArrays/src/abstractblocksparsearray/map.jl

@@ -92,27 +92,27 @@ end
 # function SparseArrayInterface.sparse_mapreduce(::BlockSparseArrayStyle, f, a_dest::AbstractArray, a_srcs::Vararg{AbstractArray})
 # end
 
-function Base.map!(f, a_dest::AbstractArray, a_srcs::Vararg{BlockSparseArrayLike})
+function Base.map!(f, a_dest::AbstractArray, a_srcs::Vararg{AnyAbstractBlockSparseArray})
   sparse_map!(f, a_dest, a_srcs...)
   return a_dest
 end
 
-function Base.map(f, as::Vararg{BlockSparseArrayLike})
+function Base.map(f, as::Vararg{AnyAbstractBlockSparseArray})
   return f.(as...)
 end
 
-function Base.copy!(a_dest::AbstractArray, a_src::BlockSparseArrayLike)
+function Base.copy!(a_dest::AbstractArray, a_src::AnyAbstractBlockSparseArray)
   sparse_copy!(a_dest, a_src)
   return a_dest
 end
 
-function Base.copyto!(a_dest::AbstractArray, a_src::BlockSparseArrayLike)
+function Base.copyto!(a_dest::AbstractArray, a_src::AnyAbstractBlockSparseArray)
   sparse_copyto!(a_dest, a_src)
   return a_dest
 end
 
 # Fix ambiguity error
-function Base.copyto!(a_dest::LayoutArray, a_src::BlockSparseArrayLike)
+function Base.copyto!(a_dest::LayoutArray, a_src::AnyAbstractBlockSparseArray)
   sparse_copyto!(a_dest, a_src)
   return a_dest
 end
@@ -131,21 +131,21 @@ function Base.copyto!(
   return a_dest
 end
 
-function Base.permutedims!(a_dest, a_src::BlockSparseArrayLike, perm)
+function Base.permutedims!(a_dest, a_src::AnyAbstractBlockSparseArray, perm)
   sparse_permutedims!(a_dest, a_src, perm)
   return a_dest
 end
 
-function Base.mapreduce(f, op, as::Vararg{BlockSparseArrayLike}; kwargs...)
+function Base.mapreduce(f, op, as::Vararg{AnyAbstractBlockSparseArray}; kwargs...)
   return sparse_mapreduce(f, op, as...; kwargs...)
 end
 
 # TODO: Why isn't this calling `mapreduce` already?
-function Base.iszero(a::BlockSparseArrayLike)
+function Base.iszero(a::AnyAbstractBlockSparseArray)
   return sparse_iszero(blocks(a))
 end
 
 # TODO: Why isn't this calling `mapreduce` already?
-function Base.isreal(a::BlockSparseArrayLike)
+function Base.isreal(a::AnyAbstractBlockSparseArray)
   return sparse_isreal(blocks(a))
 end