Use MapBroadcast.jl and DerivableInterfaces.jl

Project.toml

@@ -1,18 +1,18 @@
 name = "BlockSparseArrays"
 uuid = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
 authors = ["ITensor developers <[email protected]> and contributors"]
-version = "0.2.2"
+version = "0.2.3"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
 ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
-BroadcastMapConversion = "4a4adec5-520f-4750-bb37-d5e66b4ddeb2"
-Derive = "a07dfc7f-7d04-4eb5-84cc-a97f051f655a"
+DerivableInterfaces = "6c5e35bf-e59e-4898-b73c-732dcc4ba65f"
 Dictionaries = "85a47980-9c8c-11e8-2b9f-f7ca1fa99fb4"
 GradedUnitRanges = "e2de450a-8a67-46c7-b59c-01d5a3d041c5"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MacroTools = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
+MapBroadcast = "ebd9b9da-f48d-417c-9660-449667d60261"
 SparseArraysBase = "0d5efcca-f356-4864-8770-e1ed8d78f208"
 SplitApplyCombine = "03a91e81-4c3e-53e1-a0a4-9c0c8f19dd66"
 TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"
@@ -30,18 +30,19 @@ Adapt = "4.1.1"
 Aqua = "0.8.9"
 ArrayLayouts = "1.10.4"
 BlockArrays = "1.2.0"
-Derive = "0.3.1"
+DerivableInterfaces = "0.3.7"
 Dictionaries = "0.4.3"
 GPUArraysCore = "0.1.0"
 GradedUnitRanges = "0.1.0"
 LabelledNumbers = "0.1.0"
 LinearAlgebra = "1.10"
 MacroTools = "0.5.13"
+MapBroadcast = "0.1.5"
 SparseArraysBase = "0.2.2"
 SplitApplyCombine = "1.2.3"
 TensorAlgebra = "0.1.0"
-TypeParameterAccessors = "0.2.0"
 Test = "1.10"
+TypeParameterAccessors = "0.2.0"
 julia = "1.10"
 
 [extras]

docs/Project.toml

@@ -1,12 +1,5 @@
 [deps]
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
 BlockSparseArrays = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
-BroadcastMapConversion = "4a4adec5-520f-4750-bb37-d5e66b4ddeb2"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
-GradedUnitRanges = "e2de450a-8a67-46c7-b59c-01d5a3d041c5"
-LabelledNumbers = "f856a3a6-4152-4ec4-b2a7-02c1a55d7993"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
-NestedPermutedDimsArrays = "2c2a8ec4-3cfc-4276-aa3e-1307b4294e58"
-SparseArraysBase = "0d5efcca-f356-4864-8770-e1ed8d78f208"
-TensorAlgebra = "68bd88dc-f39d-4e12-b2ca-f046b68fcc6a"
-TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"

examples/Project.toml

@@ -1,13 +1,4 @@
 [deps]
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
 BlockSparseArrays = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
-BroadcastMapConversion = "4a4adec5-520f-4750-bb37-d5e66b4ddeb2"
-Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
-GradedUnitRanges = "e2de450a-8a67-46c7-b59c-01d5a3d041c5"
-LabelledNumbers = "f856a3a6-4152-4ec4-b2a7-02c1a55d7993"
-Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
-NestedPermutedDimsArrays = "2c2a8ec4-3cfc-4276-aa3e-1307b4294e58"
-SparseArraysBase = "0d5efcca-f356-4864-8770-e1ed8d78f208"
-TensorAlgebra = "68bd88dc-f39d-4e12-b2ca-f046b68fcc6a"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"

ext/BlockSparseArraysTensorAlgebraExt/BlockSparseArraysTensorAlgebraExt.jl

@@ -42,7 +42,7 @@ using BlockSparseArrays:
   BlockSparseMatrix,
   BlockSparseVector,
   block_merge
-using Derive: @interface
+using DerivableInterfaces: @interface
 using GradedUnitRanges:
   GradedUnitRanges,
   AbstractGradedUnitRange,

src/abstractblocksparsearray/cat.jl

@@ -1,4 +1,4 @@
-using Derive: @interface, interface
+using DerivableInterfaces: @interface, interface
 
 # TODO: Define with `@derive`.
 function Base.cat(as::AnyAbstractBlockSparseArray...; dims)

src/abstractblocksparsearray/map.jl

@@ -1,6 +1,6 @@
 using ArrayLayouts: LayoutArray
 using BlockArrays: blockisequal
-using Derive: @interface, interface
+using DerivableInterfaces: @interface, interface
 using LinearAlgebra: Adjoint, Transpose
 using SparseArraysBase: SparseArraysBase, SparseArrayStyle
 

src/abstractblocksparsearray/wrappedabstractblocksparsearray.jl

@@ -9,7 +9,7 @@ using BlockArrays:
   blockedrange,
   mortar,
   unblock
-using Derive: Derive, @interface
+using DerivableInterfaces: DerivableInterfaces, @interface
 using SplitApplyCombine: groupcount
 using TypeParameterAccessors: similartype
 
@@ -22,7 +22,9 @@ const AnyAbstractBlockSparseArray{T,N} = Union{
   <:AbstractBlockSparseArray{T,N},<:WrappedAbstractBlockSparseArray{T,N}
 }
 
-Derive.interface(::Type{<:AnyAbstractBlockSparseArray}) = BlockSparseArrayInterface()
+function DerivableInterfaces.interface(::Type{<:AnyAbstractBlockSparseArray})
+  return BlockSparseArrayInterface()
+end
 
 # a[1:2, 1:2]
 function Base.to_indices(

src/blocksparsearray/blocksparsearray.jl

@@ -1,5 +1,5 @@
 using BlockArrays: BlockArrays, Block, BlockedUnitRange, blockedrange, blocklength
-using Derive: @interface
+using DerivableInterfaces: @interface
 using Dictionaries: Dictionary
 using SparseArraysBase: SparseArrayDOK
 

src/blocksparsearrayinterface/arraylayouts.jl

@@ -1,6 +1,6 @@
 using ArrayLayouts: ArrayLayouts, Dot, MatMulMatAdd, MatMulVecAdd, MulAdd
 using BlockArrays: BlockArrays, BlockLayout, muladd!
-using Derive: @interface
+using DerivableInterfaces: @interface
 using SparseArraysBase: SparseLayout
 using LinearAlgebra: LinearAlgebra, dot, mul!
 

src/blocksparsearrayinterface/blocksparsearrayinterface.jl

@@ -14,7 +14,7 @@
   blocklengths,
   blocks,
   findblockindex
-using Derive: Derive, @interface, DefaultArrayInterface
+using DerivableInterfaces: DerivableInterfaces, @interface, DefaultArrayInterface
 using LinearAlgebra: Adjoint, Transpose
 using SparseArraysBase:
   AbstractSparseArrayInterface,
@@ -43,7 +43,9 @@
 abstract type AbstractBlockSparseArrayInterface <: AbstractSparseArrayInterface end
 
 # TODO: Also support specifying the `blocktype` along with the `eltype`.
-Derive.arraytype(::AbstractBlockSparseArrayInterface, T::Type) = BlockSparseArray{T}
+function DerivableInterfaces.arraytype(::AbstractBlockSparseArrayInterface, T::Type)
+  return BlockSparseArray{T}
+end
 
 struct BlockSparseArrayInterface <: AbstractBlockSparseArrayInterface end
 

src/blocksparsearrayinterface/broadcast.jl

@@ -1,10 +1,12 @@
 using Base.Broadcast: BroadcastStyle, AbstractArrayStyle, DefaultArrayStyle, Broadcasted
-using BroadcastMapConversion: map_function, map_args
-using Derive: Derive, @interface
+using MapBroadcast: Mapped
+using DerivableInterfaces: DerivableInterfaces, @interface
 
 abstract type AbstractBlockSparseArrayStyle{N} <: AbstractArrayStyle{N} end
 
-Derive.interface(::Type{<:AbstractBlockSparseArrayStyle}) = BlockSparseArrayInterface()
+function DerivableInterfaces.interface(::Type{<:AbstractBlockSparseArrayStyle})
+  return BlockSparseArrayInterface()
+end
 
 struct BlockSparseArrayStyle{N} <: AbstractBlockSparseArrayStyle{N} end
 
@@ -30,16 +32,18 @@ end
 
 function Base.similar(bc::Broadcasted{<:BlockSparseArrayStyle}, elt::Type)
   # TODO: Make sure this handles GPU arrays properly.
-  return similar(first(map_args(bc)), elt, combine_axes(axes.(map_args(bc))...))
+  m = Mapped(bc)
+  return similar(first(m.args), elt, combine_axes(axes.(m.args)...))
 end
 
 # Broadcasting implementation
-# TODO: Delete this in favor of `Derive` version.
+# TODO: Delete this in favor of `DerivableInterfaces` version.
 function Base.copyto!(
   dest::AbstractArray{<:Any,N}, bc::Broadcasted{BlockSparseArrayStyle{N}}
 ) where {N}
   # convert to map
   # flatten and only keep the AbstractArray arguments
-  @interface interface(bc) map!(map_function(bc), dest, map_args(bc)...)
+  m = Mapped(bc)
+  @interface interface(bc) map!(m.f, dest, m.args...)
   return dest
 end

src/blocksparsearrayinterface/cat.jl

@@ -1,14 +1,16 @@
 using BlockArrays: AbstractBlockedUnitRange, blockedrange, blocklengths
-using Derive: Derive, @interface, cat!
+using DerivableInterfaces: DerivableInterfaces, @interface, cat!
 using SparseArraysBase: SparseArraysBase
 
-# TODO: Maybe move to `DeriveBlockArraysExt`.
+# TODO: Maybe move to `DerivableInterfacesBlockArraysExt`.
 # TODO: Handle dual graded unit ranges, for example in a new `SparseArraysBaseGradedUnitRangesExt`.
-function Derive.axis_cat(a1::AbstractBlockedUnitRange, a2::AbstractBlockedUnitRange)
+function DerivableInterfaces.axis_cat(
+  a1::AbstractBlockedUnitRange, a2::AbstractBlockedUnitRange
+)
   return blockedrange(vcat(blocklengths(a1), blocklengths(a2)))
 end
 
-@interface ::AbstractBlockSparseArrayInterface function Derive.cat!(
+@interface ::AbstractBlockSparseArrayInterface function DerivableInterfaces.cat!(
   a_dest::AbstractArray, as::AbstractArray...; dims
 )
   cat!(blocks(a_dest), blocks.(as)...; dims)

test/Project.toml

@@ -4,14 +4,11 @@ Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 ArrayLayouts = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
 BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
 BlockSparseArrays = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
-BroadcastMapConversion = "4a4adec5-520f-4750-bb37-d5e66b4ddeb2"
-Derive = "a07dfc7f-7d04-4eb5-84cc-a97f051f655a"
 GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
 GradedUnitRanges = "e2de450a-8a67-46c7-b59c-01d5a3d041c5"
 JLArrays = "27aeb0d3-9eb9-45fb-866b-73c2ecf80fcb"
 LabelledNumbers = "f856a3a6-4152-4ec4-b2a7-02c1a55d7993"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-NestedPermutedDimsArrays = "2c2a8ec4-3cfc-4276-aa3e-1307b4294e58"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
@@ -20,4 +17,3 @@ Suppressor = "fd094767-a336-5f1f-9728-57cf17d0bbfb"
 SymmetrySectors = "f8a8ad64-adbc-4fce-92f7-ffe2bb36a86e"
 TensorAlgebra = "68bd88dc-f39d-4e12-b2ca-f046b68fcc6a"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"